Hyperspectral Remote Sensing & Precision Agriculture Laboratory
HyperSens – Hyperspectral Remote Sensing & Precision Agriculture Laboratory
The Hyperspectral and Thermal Remote Sensing Laboratory (HyperSens) is established jointly between the School of Agriculture, Food and Ecosystem Sciences (SAFES), Faculty of Science (FoS), and the Faculty of Engineering and Information Technology (FEIT), Department of Infrastructure Engineering.
HyperSens focuses on quantitative methods for Remote Sensing, with main interests on vegetation stress detection, physiological condition and Precision Agriculture. HyperSens team members have experience with manned and unmanned airborne hyperspectral and thermal sensors to monitor plant traits, assessing biochemical and biophysical parameters through physical modelling. Water and nutrient stress assessment, and the early detection -at pre-visual stages- of harmful diseases are the main focus of the research work carried out in the Laboratory. Innovative technology and methods are used to retrieve chlorophyll fluorescence remotely, linking physiological indicators of vegetation condition with plant photosynthesis in the context of precision agriculture and natural resources.
The HyperSens Lab leads research projects with industry worldwide, with increasing emphasis on applied research, technology transfer and engagement with industry.
Professor Pablo J. Zarco-Tejada
Remote Sensing & Precision Agriculture – HyperSens Team Leader
Prof Zarco-Tejada is the Team Leader in Remote Sensing & Precision Agriculture – HyperSens Lab., jointly appointed between the Faculty of Science (FoS) and the Faculty of Engineering and Information Technology (FEIT).
His main focus lies on remote sensing technology and methods, precision agriculture and vegetation stress detection using hyperspectral and thermal imagery acquired by manned and unmanned aircraft systems. In particular, assessing the physiological condition of crops through physical modelling. These include the early detection of diseases, water and nutrient stress using advanced airborne imaging spectroscopy and fluorescence retrievals through radiative transfer modelling.
Dr Victoria Gonzalez-Dugo
Honorary Senior Fellow. Tenured Scientist – IAS-CSIC, Spain
Dr Victoria González-Dugo holds an Agricultural Engineering Degree from the University of Cordoba (Spain) and a PhD in Life Sciences from the University of Poitiers (France). Her work is based on crop physiology and its relationship with water productivity and crop water relations. The objective of her work focuses on the optimization of deficit irrigation strategies in fruit trees and the development of indicators derived from thermal, multi- and hyperspectral information for monitoring water status and irrigation scheduling.
Dr Pangzhen Zhang
Flavour Chemist and Viticulturist
Dr Pangzhen Zhang is a flavour chemist and viticulturist. His key research interest is to study plant secondary metabolites that contribute to the sensory attributes of food and wine.
Dr Tomas Poblete
Lecturer & Research Fellow, Precision Agriculture & Remote Sensing
Tomas Poblete is a Bioinformatics Engineer, with a Bachelor in Bioinformatics Science, and a PhD in Agricultural Science. Tomas’s research projects have comprised the use of multispectral and thermal sensors onboard UAVs for agricultural applications. His current research is focused on the implementation of Machine/Deep Learning Algorithms using hyperspectral and thermal imagery in agricultural, biosecurity and forestry applications.
Dr Na Wang
Postdoctoral Research Fellow
Na Wang holds a BS in Geo-information Science, an MS in Remote Sensing of Agriculture, and a PhD in Remote Sensing of Fluorescence in Precision Agriculture. Her research interests revolve around sun-induced chlorophyll fluorescence (SIF), biotic/abiotic stress detection in crops/ fruit trees at different spatial scales (e.g., airborne, UAV, and proximal canopy), and multi-sensor synergy approaches. Her current research is focused on assessing the water stress status in orchards using advanced multi-sensor approaches, including SIF from both airborne sub-nanometre fluorescence imagery and narrow-band imagery as well as thermal data.
Dr Alberto Hornero
Honorary Research Fellow
Alberto Hornero holds a BS in Computer Systems Engineering, an MS in Computer Science and a PhD in Physical Geography. His main research interest lies on recent developments in Remote Sensing methods and technology. His current research is focused on the quantitative estimation of vegetation traits and dynamics using high-resolution hyperspectral and thermal data, medium-resolution satellite imagery, artificial intelligence and radiative transfer modelling.
Dr Anne Wang
Research Fellow
Anne’s background is in GIS and Remote Sensing. Her main research interests are related to airborne & spaceborne Hyperspectral/Thermal Remote Sensing for crop monitoring and vegetation stress detection for precision agriculture. In particular, she is interested in assessing water and nutrient stress in fruit orchards using solar-induced fluorescence and leaf plant traits derived from hyperspectral imaging and physical models.
James A. Gough
PhD Student
Jamie’s background is in Engineering and Environmental Science. Amongst other endeavours he has managed a small beef operation for over 20 years and is passionate about improving pasture production. His main research interests are related to exploring pasture canopy temperature to track plant water stress. He is using high resolution thermal remote sensing images to measure pasture temperature for soil moisture monitoring purposes.
Luis Manuel Guadarrama Escobar
PhD Student
Luis holds a Bachelor degree in Biotechnology Engineering and a Master degree in Agricultural Sciences. His research interests are related to the re-domestication of wild relatives of cereals as a promising alternative to improve abiotic stress tolerance. Using high-throughput techniques, such as thermal infrared imagery, will enable him to screen a large amount of wild germplasm material with the potential of drought tolerance.
Peiye Li
PhD Student
Peiye completed her Master’s degree in Environmental Engineering at the University of Melbourne. She is particularly interested in applying hyperspectral and thermal imagery for vegetation functional traits retrieval and stress detection. Her current research at HyperSens focuses on evaluating atmospheric correction modelling methods for hyperspectral images acquired by the University of Melbourne’s Airborne Remote Sensing Facility.
Zhonghua Ma
PhD Student
Zhonghua Ma is a PhD student involved in data-driven research on precision agriculture, climate resilience, and environmental benefits in collaboration with the University of Melbourne and the University of Manchester. His work is focused on advancing process-based modeling in agricultural nitrogen management using machine learning and remote sensing techniques. He was recipient of the Dean’s International Science Excellence Scholarship at ANU in 2018 and won the first prize in a physical science and technology innovation competition for his work on the laser feedback principle at SDU in 2017. Additionally, he achieved the third prize in SRTP for his research on coronal holes and solar wind. As an ICM faculty advisor in 2021, he provides valuable mentorship and expertise in mathematical modeling and interdisciplinary problem-solving.
Hafez Fathipoor
PhD Student
Hafez holds a BS in Surveying Engineering and an MS in Remote Sensing Engineering. His research interests primarily focus on the application of remote sensing techniques in precision agriculture. His current research is focused on harnessing the potential of hyperspectral and thermal imaging for the detection of plant stress symptoms at the pre-visual stage. Specifically, he aims to investigate the combination of solar-induced chlorophyll fluorescence, thermal and spectral indices, and plant traits retrieved from radiative transfer models to assess biotic and abiotic sources of stress.
Camilla Humphries
PhD Student
Camilla holds a BS and MS in Agricultural Science. Camilla works in the horticultural industry as a consultant and is a cider maker. Her research interests are in tree physiology and biochemistry. Camilla’s current research is focused on the assessment of hyperspectral – based physiological traits to quantify photosynthetic pigments retrieved via radiative transfer modelling to establish relationships with biochemical components in apple fruit. The study will inform orchard production management and support growers to produce higher quality fruit and reduce the volume of waste product by repurposing fruit for high value cider production.
Thulasi Vishwanath Harish
PhD Student
Thulasi holds a B.E. and M.Sc. degree in Environmental Engineering. Her PhD research work focuses on examining the relation between solar-induced fluorescence, yield and fruit quality parameters in orchards. She is interested in the application of airborne narrowband and sub nanometre Hyperspectral images in yield estimation and the use of thermal data in understanding the role of water stress in yield analysis.
Danielle Yidan Tang
Visiting PhD Student
Danielle is a PhD candidate at the University of Melbourne and Agriculture Victoria. Her research interests lie in quantifying abiotic and biotic stress in crops, remote sensing and chemometrics application, and sub-paddock spatial zoning. Specifically, she is developing in-season predictive models for grain agronomic and quality traits of lentil and faba bean crops using satellite and hyperspectral data. Her work aims to support Australian growers to make informed harvesting decisions through delineating grain quality zones in-paddock to maximise profits and manage risk associated with quality downgrades.
Bowen Xue
Visiting PhD Student
Bowen is a PhD student in the National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University. His main research interests focus on the spectral mechanism interpretation and potential applications of disease monitoring. His doctoral research aims to improve the understanding of the phenological impact on rice blast (RB) disease monitoring with hyperspectroscopy, and to investigate RB mapping on the field and regional scale for applications such as loss assessment. He is visiting the University of Melbourne to learn more about the methods of mitigating or decoupling the influence factors to improve the robustness of disease monitoring.
Alumni and former Academics
Dr Anirudh Belwalkar
Research Fellow
Anirudh’s background is in Computer Science and Remote Sensing. His research interests were related to the incorporation of deep learning methodology for high resolution airborne hyperspectral imagery analysis. He was interested in linking the radiative transfer models to artificial intelligence for detecting pre-visual stress detection in vegetation using hyperspectral and thermal imaging.
Andrew R. Longmire
PhD Student
Andrew was interested in using information derived from remote sensing to guide precision agriculture. His diverse history includes a national scale modelling and GIS study of the potential for net-zero carbon emissions from land use and work as a ranger at Uluru-Kata Tjuta National Park.
Dr Lola Suarez
Plant Physiology and Remote Sensing
Lola holds a degree in GIS and Remote Sensing, and a PhD in remote sensing of vegetation stress detection. She has worked with remote sensing data applied to vegetation science since 2006. Her research interests include vegetation health assessment and monitoring and modelling the link of vegetation physiology to hyper/multispectral remote sensing at different scales, including approaches based on radiative transfer and model inversion methods.
Dr Gustavo Togeiro de Alckmin
Lecturer, Research Fellow
Gustavo was Lecturer & Research Fellow in Precision Agriculture and Remote Sensing. He holds a degree in Agricultural Engineering, an M.Sc. and a Ph.D. in Remote Sensing, investigating the use of drones and spectral data for pastures and crop biophysical parameter retrieval. He was interested in developing robust methods and effective spectral instruments to enable optimal crop and animal production. As a Lecturer, he aimed to teach students about the cornerstone concepts of spectroscopy and its relations with crop physiology.
Xiaojin Qian
Visiting PhD Student
Xiaojin is a PhD student in the Aerospace Information Research Institute, Chinese Academy of Sciences. Her main research is about the retrieval of vegetation parameters. She was visiting the University of Melbourne to learn more about the estimation of leaf chlorophyll content and Vcmax from satellite remote sensing.
Adrian Gracia Romero
Visiting PhD Student
Adrian was developing his PhD in Plant Phenotyping and Remote Sensing at the Integrative Crop Ecophysiology Group of the University of Barcelona. Adrian’s research is focused in the application of UAVs including thermal sensors, imaging spectral cameras and conventional RGB cameras as high-throughput phenotyping systems. He is a graduate in Environmental Science and holds a Msc in Environmental Agrobiology, both from the University of Barcelona. He was visiting the University of Melbourne to learn more about high-resolution hyperspectral data for vegetation stress detection.
Johann Desloires
Visiting Student
Johann completed a Bachelor’s degree in Mathematics and Economics and has been recently graduated from a Master’s degree in Statistics and Econometrics. He developed a strong interest in Data Science for Agriculture after having worked with Syngenta as Data Analyst for one year.
Johann will start a PhD in France in September and his main subject would be to develop a model to predict the phenological stages for Corn and Barley crops using multispectral and hyperspectral images. He visited the University of Melbourne to learn more about remote sensing for precision agriculture.
James Thompson
Master’s Student
James holds a Bachelor’s degree in Mathematics from the UoM and was studying for a Master of Earth Sciences. The aim of his thesis was to identify and quantify the impact of remote sensing sub-pixel heterogeneity on plant parameter satellite retrieval estimates, with the view of improving our knowledge of the global carbon cycle.
Sarah Dan Ni Chia
Master’s Student
Sarah completed a Bachelor’s degree in Science (Agri-food biotechnology) and was in her final year of the Masters’ of Food Science at UoM. She has a passion for sustainable food and agricultural innovations in order to accommodate for a growing population. Her research project was investigating the effects of LED and fluorescent lighting recipes through analysing chlorophyll fluorescence, spectral reflectance and root development in cannabis plants.
Navneet Kaur
Master’s Student
Navneet completed her bachelors in Agricultural Science and was pursuing Masters in Agricultural science (Specialisation: Crop Production) at the University of Melbourne. Her research interest is to deduce sustainable agriculture measures with the help of Precision agriculture as she believes it holds the potential to revolutionise the agriculture sector. Her research project was to identify almond varieties in a commercial orchard using airborne hyperspectral images in the Mallee region.
Jiajia Huang
Master’s Student
Jiajia holds a Bachelor’s degree in Environmental Science and now studies a Master of Environmental Engineering at the University of Melbourne. She has research interests in environmental modelling and hyperspectral remote sensing. Her project topic was ‘Vcmax Estimation from Hyperspectral Data using the Scope Model and Deep-Learning Algorithms’.
Qiwei Meng
Master’s Student
Qiwei completed his Bachelor’s degree in Environmental Engineering in Shandong University in 2018, and now he is focusing on the Master degree of Environmental Engineering in University of Melbourne. He has a strong background in data analysis, modelling and plant physiology, which are his main research interests. He worked on the project ‘Vcmax Estimation from Hyperspectral Data using the Scope Model and Deep-Learning Algorithms’.
Wey Yao Wong
Honours Student
Wey is a student from the Bachelor of Science, majoring in Plant Science. His research interests are mainly in plant pathology and precision agriculture, but also with an ongoing interest in palaeobotany. Wey was working on his honours project, titled ‘Distinguishing abiotic and biotic water stress symptoms in physiology-related hyperspectral indicators with Verticillium wilt in tomatoes’.
Lily Aoi Fujii
Bachelor’s Student
Lily was in her final year of a Bachelor’s degree in Data Science at the University of Melbourne. She is interested in applying her programming, analytical and visualisation skills to data processing in the agricultural field. She was working on the development of an interactive tool to handle the hyperspectral remote sensing images collected by the airborne remote sensing facility.
Completion of Capstone Projects
Isabelle J. Gartside, Ryan J. Dossetor
Master of Engineering (Spatial) student team worked in the Capstone Project “GIS-based mapping of object-based traits quantified by hyperspectral imagery”. Their work was based around improving the accuracy of self-segmenting methods on pre-collected hyperspectral and thermal mosaics. Whereby the final aim was to have a learned program which can extract information for each individual tree crown over a varied dataset.
Yau Ming Ng, Godofredo Chiu Castro, Murray Peh
Master of Mechatronics Engineering student team worked in the Capstone Project “Real-time monitoring of the cameras onboard the Airborne Remote Sensing Facility”. Their goal was to evaluate different options for the design of the control system of the Airborne Remote Sensing Facility, develop the protocols for communicating with the ground control station, and code the software that receives data from the aircraft to monitor the imagery acquisition.
Jiahang Lu, Haoming Tian, Chen Qi, Jinyao Zhai
Master of Engineering (Electrical) student team worked in the Capstone Project “Real-time assessment of the Airborne Remote Sensing Facility flights for accurate image acquisition”. Their work was based on the UoM Airborne Remote Sensing Facility to develop hardware and software for real-time tracking purposes, improving the quality of the hyperspectral and thermal imagery collected.
The main research areas of the HyperSens Laboratory
- High resolution hyperspectral, multispectral and thermal remote sensing methods for vegetation stress detection in precision agriculture and forestry
- Plant functioning and plant trait retrieval methods, including chlorophyll fluorescence and physiologically-based indicators of plant health using airborne imaging spectroscopy
- Pre-visual biotic stress detection of harmful diseases using deep learning algorithms linked to physically-retrieved plant traits
- Nutrient assessment of vegetation using VIS-NIR-SWIR airborne imaging spectroscopy and specific plant traits related to physiological condition
- Water stress detection and precision irrigation methods derived from thermal imaging and water-stress indicators obtained from airborne sensors
The main areas of engagement with industry of the HyperSens Laboratory
- Research contracts and advisory activities in the context of imaging spectroscopy, multispectral scanning, processing and calibration of remote sensing cameras using laboratory instrumentation
- Software designed for processing and image calibration can be adapted to the needs by industrial partners, particularly for RGB, CIR, multispectral and hyperspectral imaging sensors
- Advisory activities in the context of remote sensing for precision agriculture, both from manned and unmanned vehicles and platforms
- Research and service contracts in topics related to water and nutrient stress detection, large-scale imaging of farms and forestry areas, and monitoring activities using innovative cameras
- Image acquisition and algorithm development for plant breeding, plant trait retrievals and high-throughput data collection using high-resolution imaging spectroscopy and thermal cameras
Prospective MSc and PhD candidates are encouraged to contact Prof. Zarco-Tejada regarding research opportunities on hyperspectral remote sensing, precision agriculture, chlorophyll fluorescence detection using passive instruments, stress detection with hyper/multispectral and thermal sensors, and leaf and canopy modelling using radiative transfer (physical) approaches.
Students from Agriculture, Forestry and Engineering backgrounds with interests in image processing, instrumentation, drones, airborne remote sensing, and physical and statistical methods are encouraged.
Peer-reviewed Publications
148. 2024. Belwalkar, A., Poblete, T., Hornero, A., Hernández-Clemente, R., Zarco–Tejada, P.J., Improving the accuracy of SIF quantified from moderate spectral resolution airborne hyperspectral imager using SCOPE: assessment with sub-nanometer imagery, International Journal of Applied Earth Observation and Geoinformation. DOI: 10.1016/j.jag.2024.104198.
147. 2024. Cubero, J., Zarco-Tejada, P.J., Cuesta-Morrondo, S., Palacio-Bielsa, A., Navas-Cortés, J.A., Sabuquillo, P., Poblete, T., Landa, B.B., Garita-Cambronero, J., New Approaches to Plant Pathogen Detection and Disease Diagnosis, Phytopathology. DOI:10.1094/PHYTO-10-23-0366-IA.
146. 2024. Guadarrama-Escobar, L.M., Hunt, J., Gurung, A., Zarco-Tejada, P.J., Shabala, S., Camino, C., Hernandez, P., Pourkheirandish, M., Back to the future for drought tolerance, New Phytologist. DOI: 10.1111/nph.19619.
145. 2024. Hornero, A., Zarco-Tejada, P.J., Marengo, I., Faria, N., Hernández-Clemente, R., Detection of oak decline using radiative transfer modelling and machine learning from multispectral and thermal RPAS imagery, International Journal of Applied Earth Observation and Geoinformation. DOI: 10.1016/j.jag.2024.103679.
144. 2023. Longmire, A., Poblete, T., Hornero, A. Chen, D., Zarco-Tejada, P.J., Estimation of grain protein content in commercial bread and durum wheat fields via traits inverted by radiative transfer modelling from Sentinel-2 timeseries, ISPRS Journal of Photogrammetry and Remote Sensing. DOI: 10.1016/j.isprsjprs.2023.10.01.
143. 2023. Poblete, T., Navas-Cortes, J.A., Hornero, A., Camino, C., Calderon, R., Hernandez-Clemente, R., Landa, B.B., Zarco-Tejada, P.J., Detection of symptoms induced by vascular plant pathogens in tree crops using high-resolution satellite data: Modelling and assessment with airborne hyperspectral imagery, Remote Sensing of Environment. DOI: 10.1016/j.rse.2023.113698.
142. 2023. Sun, Y., Gu, L., Wen, J., van der Tol, C., Porcar-Castell, A., Joiner, J., Chang, C. Y., Magney, T., Wang, L., Hu, L., Rascher, U., Zarco-Tejada, P., Barrett, C. B., Lai, J., Han, J., & Luo, Z., From remotely sensed solar-induced chlorophyll fluorescence to ecosystem structure, function, and service: Part I—Harnessing theory, Global Change Biology. DOI: 10.1111/gcb.16634.
141. 2023. Sun, Y., Wen, J., Gu, L., Joiner, J., Chang, C.Y., van der Tol, C., Porcar-Castell, A., Magney, T., Wang, L., Hu, L., Rascher, U., Zarco-Tejada, P.J., Barrett, C.B., Lai, J., Han, J. and Luo, Z., From remotely-sensed solar-induced chlorophyll fluorescence to ecosystem structure, function, and service: Part II—Harnessing data, Global Change Biology. DOI: 10.1111/gcb.16646.
140. 2023. Pancorbo, J.L., Alonso‐Ayuso, M., Camino, C., Raya‐Sereno, M.D., Zarco‐Tejada, P.J., Molina, I., Gabriel, J.L., Quemada, M., Airborne hyperspectral and Sentinel imagery to quantify winter wheat traits through ensemble modeling approaches, Precision Agriculture. DOI: 10.1007/s11119-023-09990-y.
139. 2023. Velasco-Amo, M.P., Vicent, A., Zarco-Tejada, P.J., Navas-Cortés, J.A., Landa, B., Recent research accomplishments on early detection of Xylella fastidiosa outbreaks in the Mediterranean Basin, Phytopathologia Mediterranea. DOI: 10.36253/phyto-14171.
138. 2023. Watt, M.S., Poblete, T., de Silva, D., Estarija, H.J.C., Hartley, R.J.L., Leonardo, E.M., Massam, P., Buddenbaum, H., Zarco-Tejada, P.J., Prediction of the severity of Dothistroma needle blight in radiata pine using plant based traits and narrow band indices derived from UAV hyperspectral imagery, Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2022.109294.
137. 2022. Longmire, A. R., Poblete, T., Hunt, J. R., Chen, D., Zarco-Tejada, P.J, Assessment of crop traits retrieved from airborne hyperspectral and thermal remote sensing imagery to predict wheat grain protein content, ISPRS Journal of Photogrammetry and Remote Sensing, 193, 284-298. https://doi.org/10.1016/j.isprsjprs.2022.09.015.
136. 2022. Gonzalez-Dugo, V., Zarco-Tejada, P.J., Assessing the impact of measurement errors in the calculation of CWSI for characterizing the water status of several crop species, Irrigation Science. https://doi.org/10.1007/s00271-022-00819-6.
135. 2022. Wang, Y., Suarez, L., Poblete, T., Gonzalez-Dugo, V., Ryu, D., Zarco-Tejada, P.J., Evaluating the role of solar-induced fluorescence (SIF) and plant physiological traits for leaf nitrogen assessment in almond using airborne hyperspectral imagery, Remote Sensing of Environment, 279, 113141. https://doi.org/10.1016/j.rse.2022.113141.
134. 2022. Ramirez-Cuesta, J.M., Ortuño, M.F., Gonzalez-Dugo, V., Zarco-Tejada, P.J., Parra, M., Rubio-Asensio, J.S., Intrigliolo, D.S., Assessment of peach trees water status and leaf gas exchange using on-the-ground versus airborne-based thermal imagery, Agricultural Water Management, 267, 107628. https://doi.org/10.1016/j.agwat.2022.107628.
133. 2022. Belwalkar, A., Poblete, T., Longmire, A., Hornero, A., Hernandez-Clemente, R., Zarco-Tejada, P.J., Evaluation of SIF retrievals from narrow-band and sub-nanometer airborne hyperspectral imagers flown in tandem: Modelling and validation in the context of plant phenotyping, Remote Sensing of Environment, 273, 112986. https://doi.org/10.1016/j.rse.2022.112986.
132. 2021. Zarco-Tejada, P.J., Poblete, T., Camino, C., Gonzalez-Dugo, V., Calderon, R., Hornero, A., Hernandez-Clemente, R., Román-Écija, M., Velasco-Amo, M.P., Landa, B.B., Beck, P.S.A., Saponari, M., Boscia, D. & Navas-Cortes, J.A., Divergent abiotic spectral pathways unravel pathogen stress signals across species, Nature Communications 12, 6088. https://doi.org/10.1038/s41467-021-26335-3.
131. 2021. Watt, M.S., Leonardo, E.M.C., Estarija, H.J., Massam, P., Silva, D., O´Neill, R., Lane, D., McDougal, R., Buddenbaum, H., Zarco-Tejada, P.J., Long-term effects of water stress on hyperspectral remote sensing indicators in young radiata pine, Forest Ecology and Management, Vol 502, 1-13, https://doi.org/10.1016/j.foreco.2021.119707.
130. 2021. Arun, P.V., Sadeh, R., Avneri, A., Tubul, Y., Camino, C., Buddhiraju, K.M., Porwal, A., Lati, R.N., Zarco-Tejada, P.J., Peleg, Z., Herrmann, I., Multimodal Earth observation data fusion: Graph-based approach in shared latent space, Information Fusion, Vol 78, 20-39, https://doi.org/10.1016/j.inffus.2021.09.004.
129. 2021. Raya-Sereno, M.D.., Alonso-Ayuso, M., Pancorbo, J.L., Gabriel, J.L., Camino, C., Zarco-Tejada, P.J., and Quemada, M., Residual Effect and N Fertilizer Rate Detection by High-Resolution VNIR-SWIR Hyperspectral Imagery and Solar-Induced Chlorophyll Fluorescence in Wheat, IEEE Transactions on Geoscience and Remote Sensing, 1-17.
128. 2021. Poblete, T., Navas-Cortes, J.A., Camino, C., Calderon, R., Hornero, A., Gonzalez-Dugo, V., Landa, B.B., and Zarco-Tejada, P.J., Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits, ISPRS Journal of Photogrammetry and Remote Sensing 179, 133–144.
127. 2021. Hornero, A., Zarco-Tejada, P.J., Quero, J.L., North, P.R.J., Ruiz-Gomez, F.J., Sanchez-Cuesta, R., Hernandez-Clemente, R., Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline, Remote Sensing of Environment, 263, 112570.
126. 2021. Qian, X., Liu, L., Chen, X., and Zarco-Tejada, P.J., Assessment of satellite chlorophyll-based leaf maximum carboxylation rate (Vcmax) using flux observations at crop and grass sites, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI 10.1109/JSTARS.2021.3081704.
125. 2021. Suarez, L., Zhang, P., Sun, J., Wang, Y., Poblete, T., Hornero, A., Zarco-Tejada, P.J., Assessing wine grape quality parameters using plant traits derived from physical model inversion of hyperspectral imagery, Agricultural and Forest Meteorology, 306, 108445.
124. 2021. Camino, C., Calderon, R., Parnell, S., Dierkes, H., Chemin, Y., Roman-Ecija, M., Montes-Borrego, M., Landa, B.B., Navas-Cortes, J.A., Zarco-Tejada, P.J., Beck, P.S.A., Detection of Xylella fastidiosa in almond orchards by synergic use of an epidemic spread model and remotely sensed plant traits, Remote Sensing of Environment 260, 112420.
123. 2021. Pancorbo, J.L., Camino, C., Alonso-Ayuso, M., Raya-Sereno, M.D., Gonzalez-Fernandez, I., Gabriel, J.L., Zarco-Tejada, P.J., Quemada, M., Simultaneous assessment of nitrogen and water status in winter wheat using hyperspectral and thermal sensors, European Journal of Agronomy, 127, 126287.
122. 2021. Hornero, A., North, P.R.J., Zarco-Tejada, P.J., Rascher, U., Martin, M.P., Migliavacca, M., Hernandez-Clemente, R., Assessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data, Remote Sensing of Environment, 253, 112195. https://doi.org/10.1016/j.rse.2020.112195.
121. 2021. Suárez, L., Gonzalez-Dugo, V., Camino, C., Hornero, A., Zarco-Tejada, P.J., Physical model inversion of the green spectral region to track assimilation rate in almond trees with an airborne nano-hyperspectral imager, Remote Sensing of Environment, 252, 112147. https://doi.org/10.1016/j.rse.2020.112147.
120. 2020. Monterroso, A. Redondo‐Villa, A., Gasparini, M., Hornero, A., Iraci, B., Martin-Talaverano, R., Moreno‐Escribano, J. C., Muñoz‐Cádiz, J., Murillo‐Fragero, J. I., Obregón‐Romero, R., Vargas, N., J. Young, S., Yuste, R., Zarco-Tejada, P.J., A Heritage Science Workflow to Preserve and Narrate a Rural Archeological Landscape Using Virtual Reality: The Cerro del Castillo of Belmez and Its Surrounding Environment (Cordoba, Spain), Appl. Sci. 2020, 10, 8659; doi:10.3390/app10238659.
119. 2020. Gonzalez-Dugo, V., Zarco-Tejada, P.J., Intrigliolo, D.S., Ramírez-Cuesta, J.M., Normalization of the crop water stress index to assess the within‐feld spatial variability of water stress sensitivity, Springer, Precision Agriculture. https://doi.org/10.1007/s11119-020-09768-6.
118. 2020. Watt, M.S., Buddenbaum, H., Leonardo, E.M.C., Estarija, H.J., Bown, H.E., Gomez-Gallego, M., Hartley, R., Massam, P., Wright, L., Zarco-Tejada, P.J., Using hyperspectral plant traits linked to photosynthetic efficiency to assess N and P partition, ISPRS Journal of Photogrammetry and Remote Sensing, 169, 406–420. https://doi.org/10.1016/j.isprsjprs.2020.09.006.
117. 2020. Gonzalez-Dugo, V., Testi, L., Villalobosa, F.J., López-Bernal, A., Orgaz, F., Zarco-Tejada, P.J., Fereres, E., Empirical validation of the relationship between the crop water stress index and relative transpiration in almond trees, Agricultural and Forest Meteorology, 292-293, 108128. https://doi.org/10.1016/j.agrformet.2020.108128.
116. 2020. Watt, M.S., Buddenbaum, H., Leonardo, E.M.C., Estarija, H.J., Bown, H.E., Gomez-Gallego, M., Hartley, R., Pearse, G.D., Massam, P., Wright, L., Zarco-Tejada, P.J., Monitoring biochemical limitations to photosynthesis in N and P-limited radiata pine using plant functional traits quantified from hyperspectral imagery, Remote Sensing of Environment, 248, 112003. https://doi.org/10.1016/j.rse.2020.112003.
115. 2020. Jin, X., Zarco-Tejada, P.J., Schmidhalter, U., Reynolds, M.P., Hawkesford, M.J., Varshney, R.K., Yang, T., Nie, C., Li, Z., Ming, B., Xiao, Y., Xie, Y., Li, S., High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms, IEEE Geoscience and Remote Sensing Magazine, doi: 10.1109/MGRS.2020.2998816.
114. 2020. Poblete, T., Camino, C., Beck, P.S.A., Hornero, A., Kattenborn, T., Saponari, M., Boscia, D., Navas-Cortes, J.A., Zarco-Tejada, P.J., Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: assessing bandset reduction performance from hyperspectral analysis, ISPRS Journal of Photogrammetry and Remote Sensing, 162, 27-40.
113. 2020. Hornero, A., Hernández-Clemente, R., North, P.R.J., Beck, P.S.A., Boscia, D., Navas-Cortes, J.A., Zarco-Tejada, P.J., Monitoring Xylella fastidiosa infection symptoms in olive orchards using Sentinel 2 imagery and 3-D radiative transfer modelling, Remote Sensing of Environment, 236, 111480. https://doi.org/10.1016/j.rse.2019.111480.
112. 2019. Hank, T. B., Berger, K., Bach. H., Clevers, J. G. P. W., Gitelson, A., Zarco-Tejada, P.J., Mauser, W., Spaceborne Imaging Spectroscopy for Sustainable Agriculture: Contributions and Challenges, Surveys in Geophysics, May 2019, Vol 40, Issue 3, 515-551, Springer, DOI 10.1007/s10712-018-9492-0.
111. 2019. Hernández-Clemente, R., Hornero, A., Mottus, M., Penuelas, J., González-Dugo, V., Jiménez, J.C., Suárez, L., Alonso, L., Zarco-Tejada, P.J., Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling, Current Forestry Reports 5:169–183, https://doi.org/10.1007/s40725-019-00096-1.
110. 2019. Heim, R.H.J., Carnegie, A.J., Zarco-Tejada, P.J., Breaking down barriers between remote sensing and plant pathology, Tropical Plant Pathology.
109. 2019. Gina H. Mohammed, Roberto Colombo, Elizabeth M. Middleton, Uwe Rascher, Christiaan van der Tol, Ladislav Nedbal, Yves Goulas, Oscar Pérez-Priego, Alexander Damm, Michele Meroni, Joanna Joiner, Sergio Cogliati, Wouter Verhoef, Zbynk Malenovský, Jean Philippe Gastellu-Etchegorry, John R. Miller, Luis Guanter, Jose Moreno, Ismael Moya, Joseph A. Berry, Christian Frankenberg, and Pablo J. Zarco-Tejada. Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress, Remote Sensing of Environment, 231, 111177. https://doi.org/10.1016/j.rse.2019.04.030.
108. 2019. Wang, S., Baum, A., Zarco-Tejada, P.J., Dam-Hansen, C., Thorseth, A., Bauer-Gottwein, P., Bandini, F., Garcia, M., Unmanned Aerial System multispectral mapping for low and variable solar irradiance conditions: potential of tensor decomposition, ISPRS Journal of Photogrammetry and Remote Sensing, 155, 58-71.
107. 2019. Camino C., González-Dugo V., Hernández P., and Zarco-Tejada. P. J., Radiative transfer Vcmax estimation from hyperspectral imagery and SIF retrievals to assess photosynthetic performance in rainfed and irrigated plant phenotyping trials, Remote Sensing of Environment.
106. 2019. Kattenborn, T., Schiefer, F., Zarco-Tejada, P.J., Schmidtlein, S., Advantages of retrieving pigment content [µg/cm²] versus concentration [%] from canopy reflectance, Remote Sensing of Environment, Vol. 230, 1 Sept. 2019, 111195, https://doi.org/10.1016/j.rse.
105. 2019. Wang, S., Garcia, M., Bauer-Gottwein, P., Jakobsen, J., Zarco-Tejada, P.J., Bandini, F., Sobejano Paz, V., Ibrom, A., High spatial resolution monitoring land surface energy, water and CO2 fluxes from an Unmanned Aerial System, Remote Sensing of Environment, 229, 14-31.
104. 2019. Gonzalez-Dugo V., López-López, M., Espadafor, M., Orgaz, F., Testi, L., Zarco-Tejada P.J., Lorite, I.J., E. Fereres, Transpiration from canopy temperature: Implications for the assessment of crop yield in almond orchards, European Journal of Agronomy, Vol. 105, 78-85.
103. 2019. Merida-Garcia R., Liu G., He S., Gonzalez-Dugo V., Dorado G., Galvez S., Solis I., Zarco-Tejada P.J., Reif J.C., and Hernandez P., Genetic dissection of agronomic and quality traits based on association mapping and genomic selection approaches in durum wheat grown in Southern Spain, PLoSONE 14(2): e0211718. https://doi.org/10.1371/journal.pone.0211718.
102. 2019. Zarco-Tejada, P.J., Hornero, A., Beck, P.S.A., Kattenborn, T., Kempeneers, P., Hernández-Clemente, R., Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2 and hyperspectral imagery in the context of forest decline, Remote Sensing of Environment, 223, 320–335.
101. 2019. Caruso G., Zarco-Tejada P.J., Gonzalez-Dugo V., Moriondo M., Tozzini L., Palai G., Rallo, G., Hornero, A., Primicerio, J., Gucci, R., High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes, PLoS ONE 14(1): e0210804. https://doi.org/10.1371/journal.pone.0210804.
100. 2018. Gálvez, S., Mérida-García, R., Camino, C., Borrill, P., Abrouk, M., Ramírez-González, R.H., Biyiklioglu, S., Amil-Ruiz, F., Dorado, G., Budak, H., Gonzalez-Dugo, V., Zarco-Tejada, P.J., Appels, R., Uauy, C., Hernandez, P., IWGSC, T., Hotspots in the genomic architecture of field drought responses in wheat as breeding targets, Funct. Integr. Genomics.; doi:10.1007/s10142-018-0639-3.
99. 2018. Ramirez-Cuesta, J.M., Allen, R.G., Zarco-Tejada, P.J., Kilic, A., Santos, C., Lorite, I.J., Impact of the spatial resolution on the energy balance components on an open-canopy olive orchard, International Journal of Applied Earth Observation and Geoinformation 74, pag 88–102.
98. 2018. Aasen, H., Honkavaara, E., Lucieer,A., and Zarco-Tejada, P.J., Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows, Remote Sensing, 10, 1091; doi:10.3390/rs10071091.
97. 2018. Zarco-Tejada, P.J., Camino, C., Beck, P.S.A., Calderon, R., Hornero, A., Hernández-Clemente, R., Kattenborn, T., Montes-Borrego, M., Susca, L., Morelli, M., Gonzalez-Dugo, V., North, P.R.J., Landa, B.B., Boscia, D., Saponari, M., Navas-Cortes, J.A., Pre-visual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations, Nature Plants, DOI: 10.1038/s41477-018-0189-7.
96. 2018. Rodrigues Jr., F.A., Blasch, G., Defourny, P., Ortiz-Monasterio, I., Schulthess, U., Zarco-Tejada, P.J., A. Taylor, J., Gérard, B., Multi-Temporal and Spectral Analysis of High-Resolution Hyperspectral Airborne Imagery for Precision Agriculture: Assessment of Wheat Grain Yield and Grain Protein Content, Remote Sensing, 10, 930; doi: 10.3390/rs10060930.
95. 2018. Camino, C., González-Dugo, V., Hernández, P., Sillero, J.C., Zarco-Tejada, P.J.,Improved nitrogen retrievals with airborne-derived fluorescence and plant traits quantified from VNIR-SWIR hyperspectral imagery in the context of precision agriculture, International Journal of Applied Earth Observation and Geoinformation,70, 105-117, ISSN 0303-2434, DOI 10.1016/j.jag.2018.04.013.
94. 2018. Camino, C., Zarco-Tejada, P.J., Gonzalez-Dugo, V., Effects of Heterogeneity within Tree Crowns on Airborne-Quantified SIF and the CWSI as Indicators of Water Stress in the Context of Precision Agriculture, Remote Sensing, 10(4), 604; doi: 10.3390/rs10040604.
93. 2018. Zarco-Tejada, P.J., Hornero, A., Hernández-Clemente, R., Beck, P.S.A., Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery, ISPRS Journal of Photogrammetry and Remote Sensing, 137, 134–148.
92. 2017. Liu,H., Whiting, M.L., Ustin, S.L., Zarco-Tejada, P.J., Huffman., T., Zhang, X., Maximizing the relationship of yield to site-specific management zones with object-oriented segmentation of hyperspectral images, Precision Agriculture, DOI 10.1007/s11119-017-9521-x.
91. 2017. Gabriel, J.L., Zarco-Tejada, P.J., Lopez-Herrera, P. J., Pérez-Martín, E., Alonso-Ayuso, M., Quemada, M., Airborne and ground level sensors for monitoring nitrogen status in a maize crop, Biosystems Engineering, 160, pp. 124-133.
90. 2017. Pacheco-Labrador, J., El-Madany, T.S., Martín, M.P., Migliavacca, M., Rossini, M., Carrara, A., Zarco-Tejada, P.J., Spatio-temporal relationships between optical information and carbon fluxes in a Mediterranean tree-grass ecosystem, Remote Sensing, 9, 608; doi:10.3390/rs9060608.
89. 2017. Hernández-Clemente, R., North, P.R.J., Hornero, A., and Zarco-Tejada, P.J., Assessing the effects of forest health on sun-induced chlorophyll fluorescence using the FluorFLIGHT 3-D radiative transfer model to account for forest structure, Remote Sensing of Environment, 193, pp. 165-179.
88. 2017. Ballester, P.J. Zarco-Tejada, E. Nicolás, J.J. Alarcón, E. Fereres, D.S. Intrigliolo, V. Gonzalez-Dugo., Evaluating the performance of xanthophyll, chlorophyll and structure-sensitive spectral indices to detect water stress in five fruit tree species, Precision Agriculture DOI: 10.1007/s11119-017-9512-y.
87. 2016. Vergara-Diaz, O., Zaman-Allah, M.A., Masuka, B., Hornero, A., Zarco-Tejada, P.J., Prasanna, B.M., Cairns, J.E., Araus J.L., A novel remote sensing approach for prediction of maize yield under different conditions of nitrogen fertilization, Frontiers in Plant Science, 7, N.666, http://dx.doi.org/10.3389/fpls.2016.00666, DOI=10.3389/fpls.2016.00666, ISSN=1664-462X.
86. 2016. Zarco-Tejada, P.J., González-Dugo, M.V., Fereres, F. Seasonal stability of chlorophyll fluorescence quantified from airborne hyperspectral imagery as an indicator of net photosynthesis in the context of precision agriculture, Remote Sensing of Environment, 179, 15, pp. 89–103, doi:10.1016/j.rse.2016.03.024.
85. 2016. López-López, M., Calderón, R., Gonzalez-Dugo, V., Zarco-Tejada, P.J. and Fereres, E. Early Detection and Quantification of Almond Red Leaf Blotch Using High-Resolution Hyperspectral and Thermal Imagery, Remote Sensing, 8, 276, doi:10.3390/rs8040276.
84. 2016. Hoffmann, H., Nieto, H., Jensen, R., Guzinski, R., Zarco-Tejada, P. J., Friborg, T, Estimating evaporation with thermal UAV data and two-source energy balance models, Hydrol. Earth Syst. Sci. Discuss., 20, 697–713, doi:10.5194/hess-20-697-2016.
83. 2016. Bellvert, J., Marsal, J., Girona, J., Gonzalez-Dugo, V., Fereres, E., Ustin, S.L., and Zarco-Tejada, P.J., Airborne Thermal Imagery to Detect the Seasonal Evolution of Crop Water Status in Peach, Nectarine and Saturn Peach Orchards, Remote Sensing, 8, 39; doi:10.3390/rs8010039.
82. 2015. Gonzalez-Dugo, V., Hernandez, P., Solis, I., Zarco-Tejada, P.J., Using High-Resolution Hyperspectral and Thermal Airborne Imagery to Assess Physiological Condition in the Context of Wheat Phenotyping, Remote Sensing, 7, 13586-13605; doi:10.3390/rs71013586.
81. 2015. Bellvert, J., Zarco-Tejada, P.J., Marsal, J, Girona, J., González-Dugo, V., Fereres, E., Vineyard irrigation scheduling based on airborne thermal imagery and water potential thresholds, Australian Journal of Grape and Wine Research, doi: 10.1111/ajgw.12173.
80. 2015. M Zaman-Allah, O Vergara, J L Araus, A Tarekegne, C Magorokosho, P J Zarco-Tejada, A Hornero, A Albà, B Das, P Craufurd, M Olsen, B M Prasanna, J Cairns, Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize, Plant Methods 2015, 11:35.
79. 2015. Calderón, R., Navas-Cortés, J.A., Zarco-Tejada, P.J., Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas, Remote Sensing, 7, 5584-5610; doi:10.3390/rs70505584.
78. 2015. Díaz-Varela , R.A., de la Rosa, R., León, L. and Zarco-Tejada, P.J., High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials, Remote Sensing, 7, 4213-4232; doi:10.3390/rs70404213.
77. 2015. Gonzalez-Dugo, V., Goldhamer, D., Zarco-Tejada, P.J., and Fereres, E., Improving the precision of irrigation in a pistachio farm using an unmanned airborne thermal system, Irrigation Science, DOI 10.1007/s00271-014-0447-z.
76. 2014. Bellvert, J., Marsak, J., Girona, J., Zarco-Tejada, P.J. Seasonal evolution of crop water stress index in grapevine varieties determined with high‑resolution remote sensing thermal imagery, Irrigation Science, DOI 10.1007/s00271-014-0456-y, December 2014.
75. 2014. Hernández-Clemente, R., Navarro-Cerrillo, R.M., Romero Ramírez, F. J., Hornero, A., Zarco-Tejada, P.J., A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data, Remote Sensing. vol 6, ISSN 2072-4292, 11627-11648, doi:10.3390/rs61111627 , 2014.
74. 2014. Calderón, R., Lucena, C., Trapero-Casas, J.L., Zarco-Tejada, P.J., and Navas-Cortés, J.A., Soil Temperature Determines the Reaction of Olive Cultivars to Verticillium dahliae Pathotypes, PLOS ONE 9(10): e110664. doi:10.1371/journal.pone.0110664, October 2014.
73. 2014. Gonzalez-Dugo, V., Zarco-Tejada, P.J., and Fereres, E., Applicability and limitations of using the Crop Water Stress Index as an indicator of water deficits in citrus orchards, Agricultural and Forest Meteorology, vol 198-199, 94-104, 2014.
72. 2014. Delalieux S., Zarco-Tejada, P.J., Somers, B., Tits, L., Jiménez-Bello M.A., Intrigliolo, D.S., Unmixing-Based fusion of hyperspatial and hyperspectral airborne imagery for early detection of vegetation stress, IEEE Journal of selected topics in applied earth observations and remote sensing, vol. 7, no. 6 , 2571-2582, June 2014.
71. 2014. Guanter, L., Zhang, Y., Jung, M., Joiner, J., Voigt, M., Berry, J.A., Frankenberg, C., Huete, A.R., Zarco-Tejada, P.J., Lee, J-E., Moran, M.S., Ponce-Campos, G., Beer, C., Camps-Valls, G., Buchmann, N., Gianelle, D., Klumpp, K., Cescatti, A., Baker, J.M., Griffis, T.J., Reply to Magnani et al. , Linking large-scale chlorophyll fluorescence observations with cropland gross primary production, Proceedings of the National Academy of Sciences (PNAS), doi: 10.1073/pnas.1406996111.
70. 2014. Castillo, C., Taguas, E.V., Zarco-Tejada, P.J., James, M. and Gómez, J.A., The normalized topographic method: an automated procedure for gully mapping using GIS, Earth Surface Processes and Landforms,39, 2002-2015. DOI: 10.1002/esp.3595 .
69. 2014. Calderón, R., Montes-Borrego, M., Landa, B.B., Navas-Cortés, J.A. and Zarco-Tejada, P.J., Detection of downy mildew of opium poppy using high-resolution multi-spectral and thermal imagery acquired from an unmanned aerial vehicle, Springer, Precision Agriculture, vol 15, no. 6, 639-661 DOI 10.1007/s11119-014-9360-y.
68. 2014. Hernández Clemente, R., Navarro Cerrillo, R., Zarco-Tejada, P.J., Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation, IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 8 , 5206-5217, DOI: 10.1109/TGRS.2013.2287304.
67. 2014. Quemada, M., Gabriel, J.L., Zarco-Tejada, P.J., Airborne Hyperspectral Images and Ground-Level Optical Sensors As Assessment Tools for Maize Nitrogen Fertilization, Remote Sensing , ISSN 2072-4292, 2940-2962; doi:10.3390/rs6042940.
66. 2014. Guanter, L., Zhang, Y., Jung, M., Joiner, J., Voigt, M., Berry, J.A., Frankenberg, C., Huete, A.R., Zarco-Tejada, P.J., Lee, J-E., Moran, M.S., Ponce-Campos, G., Beer, C., Camps-Valls, G., Buchmann, N., Gianelle, D., Klumpp, K., Cescatti, A., Baker, J.M., Griffis, T.J., Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence, Proceedings of the National Academy of Sciences (PNAS), doi: 10.1073/pnas.1320008111.
65. 2014. Zarco-Tejada, P.J., Diaz-Varela, R., Angileri, V., Loudjani, P., Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo reconstruction methods, European Journal of Agronomy, Vol. 55, 89-99.
64. 2014. Diaz-Varela, R.A., Zarco-Tejada, P.J., Angileri, V., Loudjani, P., Automatic identification of agricultural terraces through object-oriented analysis of very high resolution DSMs and multispectral imagery obtained from an unmanned aerial vehicle, Journal of Environmental Management, 134, 117-126.
63. 2014. Guillén-Climent, M.L., Zarco-Tejada, P.J., and Villalobos, F.J., Estimating radiation interception in heterogeneous orchards using high spatial resolution airborne imagery, IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 2, 579-583.
62. 2014. Bellvert J., Zarco-Tejada P.J., Girona J., Fereres E., Mapping crop water stress index in a ‘Pinot-noir’ vineyard: comparing ground measurements with thermal remote sensing imagery from an unmanned aerial vehicle, Precision Agriculture, Springer Science, DOI 10.1007/s11119-013-9334-5, 361–376.
61. 2013. Calderón, R., Zarco-Tejada, P.J., Lucena, C., Navas-Cortés, J.A., High-resolution airborne hyperspectral and thermal imagery for pre-visual detection of Verticillium wilt using fluorescence, temperature and narrow-band indices, Remote Sensing of Environment, 139, 231-245.
60. 2013. Zarco-Tejada, P.J., González-Dugo, V., Williams, L.E., Suárez, L., Berni, J.A.J., Goldhamer, D., Fereres, E., A PRI-based water stress index combining structural and chlorophyll effects: assessment using diurnal narrow-band airborne imagery and the CWSI thermal index, Remote Sensing of Environment, 138, 38-50.
59. 2013. González-Dugo, V., Zarco-Tejada, P.J., Nicolás, E., Nortes, P.A., Alarcón, J.J., Intrigliolo, D.S., Fereres, E., Using high resolution UAV thermal imagery to assess the variability in the water status of five fruit tree species within a commercial orchard, Precision Agriculture, Springer Science, DOI 10.1007/s11119-013-9322-9.
58. 2013. Morillas, L., García, M., Nieto, H., Villagarcia, L., Sandholt, I., González-Dugo, M.P., Zarco-Tejada, P.J., Domingo, F.,Using radiometric surface temperature for energy flux estimation in Mediterranean drylands from a two-source perspective, Remote Sensing of Environment 136, 234–246.
57. 2013. Zarco-Tejada, P.J., Catalina, A., González, M.R., Martín, P., Relationships between net photosynthesis and steady-state chlorophyll fluorescence retrieved from airborne hyperspectral imagery, Remote Sensing of Environment 136, 247–258.
56. 2013. Zarco-Tejada, P.J., Suárez, L., González-Dugo, V., Spatial resolution effects on chlorophyll fluorescence retrievals in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation, Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2013.2252877.
55. 2013. Berjón, A.J., Cachorro, V.E., Zarco-Tejada, P.J., de Frutos, A., Retrieval of biophysical vegetation parameters using simultaneous inversion of high resolution remote sensing imagery constrained by a vegetation index, Precision Agriculture , 14:541–557, DOI 10.1007/s11119-013-9315-8.
54. 2013. Zarco-Tejada, P.J., Morales, A., Testi, L., Villalobos, F.J., Spatio-temporal patterns of chlorophyll fluorescence and physiological and structural indices acquired from hyperspectral imagery as compared with carbon fluxes measured with eddy covariance, Remote Sensing of Environment 133, 102–115.
53. 2013. Zarco-Tejada, P.J., Guillén-Climent, M.L., Hernández-Clemente, R., Catalina, A., González, M.R., Martín, P., Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle, Agricultural and Forest Meteorology, 171-172, 281-294.
52. 2012. Guillén-Climent, M.L. Zarco-Tejada, P.J. and F.J. Villalobos., Estimating radiation interception in an olive orchard using physical models and multispectral airborne imagery, Israel Journal of Plant Sciences, Special issue on VIS-NIR Spectroscopy in Plant Sciences, vol 60 (2012) 107-121, DOI: 10.1560/IJPS.60.1-2.107.
51. 2012. Hernández-Clemente, R., Navarro-Cerrillo, R.M., Zarco-Tejada, P.J., Carotenoid content estimation in a heterogeneous conifer forest using narrow-band indices and PROSPECT + DART simulations., Remote Sensing of Environment, 127 (2012) 298-315.
50. 2012. Stagakis, S., González-Dugo, V., Cid, P., Guillén-Climent, M.L., Zarco-Tejada, P.J., Monitoring water stress and fruit quality in an orange orchard under regulated deficit irrigation using narrow-band structural and physiological remote sensing indices, ISPRS Journal of Photogrammetry and Remote Sensing, 71, 47-61.
49. 2012. Guillén-Climent, M.L., Zarco-Tejada, P.J., Berni, J.A.J., North, P.R.J., and Villalobos, F.J., Mapping radiation interception in row-structured orchards using 3D simulation and high resolution airborne imagery acquired from a UAV, Precision Agriculture, 13:473-500.
48. 2012. González-Dugo, V., Zarco-Tejada, P.J., Berni, J.A., Suarez, L., Goldhamer, D., Fereres, E., Almond tree canopy temperature reveals intra-crown variability that is water stress-dependent, Agricultural and Forest Meteorology, 154-155, 156-165.
47. 2012. Zarco-Tejada, P.J., González-Dugo, V., Berni, J.A.J., Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera, Remote Sensing of Environment, 117, 322-337.
46. 2011. Hernández-Clemente, R., Navarro-Cerrillo, R., Suárez, L., Morales, F., Zarco-Tejada, P.J., Assessing structural effects on PRI for stress detection in conifer forests, Remote Sensing of Environment, Vol 115, Issue 9, 2360-2375, 15th September 2011.
45. 2011. Gómez, J.A., Zarco-Tejada, P.J., García-Morillo, J., Gama, J., Soriano, M.A., Determining biophysical parameters on olive trees using CASI airborne and QuickBird satellite imagery, Agronomy Journal, Vol 103, Issue 3, 644-654.
44. 2011. Moorthy, I., Miller, J.R., Berni, J.A.J., Zarco-Tejada, P.J., Hu, B., Chen, J., Field characterization of olive (Olea europaea L.) tree crown architecture using terrestrial laser scanning data, Agricultural and Forest Meteorology, Vol 151, Issue 2, 204-214, 15th February 2011.
43. 2010. Gil-Pérez, B., Zarco-Tejada, P.J., Correa-Guimaraes, A., Relea-Cangas, E., Navas-Gracia, L.M., Hernández-Navarro, S., Sanz-Requena, J.F., Berjón, A., Martín-Gil, J., Remote Sensing Detection of Nutrient Uptake in Vineyards using narrow-band hyperspectral imagery, Vitis, 49 (4), 167-173.
42. 2010. F. Meggio, P.J. Zarco-Tejada, L.C. Núñez, G. Sepulcre-Cantó, M.R. Gonzalez, P. Martin, Grape quality assessment in vineyards affected by iron deficiency chlorosis using narrow-band physiological remote sensing indices, Remote Sensing of Environment, 114, 1968-1986.
41. 2010. Suárez, L., Zarco-Tejada, P.J., González-Dugo, V., Berni, J.A.J., Sagardoy, R., Morales, F., Fereres, E.,Detecting water stress effects on fruit quality in orchards with time-series PRI airborne imagery, Remote Sensing of Environment, 114, 286-298.
40. 2009. J. A. Sobrino, J.C. Jimenez-Muñoz, P.J. Zarco-Tejada, G. Sepulcre-Cantó, E. de Miguel, G. Soria, M. Romaguera, Y. Julien, J. Cuenca, V. Hidalgo, B. Franch, C. Mattar, L. Morales, A. Gillespie, D. Sabol, L. Balick, Z. Su, L. Jia, A. Gieske, W. Timmermans, A. Olioso, F. Nerry, L. Guanter, J. Moreno, and Q. Shen, Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview, Hydrology and Earth System Sciences, 13 (11), 2031-2037.
39. 2009. Berni, J.A.J., Zarco-Tejada, P.J., Sepulcre-Cantó, G., Fereres, E., Villalobos, F.J., Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery, Remote Sensing of Environment, 113, 2380-2388.
38. 2009. Zarco-Tejada, P.J., Berni, J.A.J., Suárez, L., Sepulcre-Cantó, G., Morales, F., Miller, J.R., Imaging Chlorophyll Fluorescence from an Airborne Narrow-Band Multispectral Camera for Vegetation Stress Detection, Remote Sensing of Environment, 113, 1262-1275.
37. 2009. Suárez, L., Zarco-Tejada, P.J., Berni, J.A.J., González-Dugo, V., Fereres, E., Modelling PRI for Water Stress Detection using Radiative Transfer Models, Remote Sensing of Environment, 113, 730-744.
36. 2009. Sepulcre-Cantó, G., Zarco-Tejada, P.J., Sobrino, J.A., Berni, J.A.J., Jiménez-Muñoz, J.C., Gastellu-Etchegorry, J.P., Discriminating irrigated and rainfed olive orchards with thermal ASTER imagery and DART 3D simulation, Agricultural and Forest Meteorology, 149, 962-975.
35. 2009. Berni, J.A.J., Zarco-Tejada, P.J., Suarez, L., Fereres, E., Thermal and Narrow-band Multispectral Remote Sensing for Vegetation Monitoring from an Unmanned Aerial Vehicle, IEEE Transactions on Geoscience and Remote Sensing, 47, (3), 722-738.
34. 2009. Ustin, S.L., Asner, G.P., Gamon, J.A., Gitelson, A.A., Jacquemoud, S., Schaepman, M., Zarco-Tejada, P.J.,Retrieval of Foliar Information about Plant Pigment Systems from High Resolution Spectroscopy, Remote Sensing of Environment, 113, S67-S77.
33. 2009. Jacquemoud, S., Verhoef, W., Baret, W., Bacour, C., Zarco-Tejada, P.J., Asner, G.P., François, C., Ustin, S.L., PROSPECT+SAIL models: A review of use for vegetation characterization, Remote Sensing of Environment, 113, S56-S66.
32. 2008. Meggio, F., Zarco-Tejada, P.J., Miller, J.R., Martín, P., González, M.R., Berjón, A., Row Orientation and Viewing Geometry Effects on Row-structured Crops for Chlorophyll Content Estimation, Canadian Journal of Remote Sensing, 34 (3), 220-234. Introduction in honour of the retirement of Professor John R. Miller.
31. 2008. Zarco-Tejada, P.J., Berni, J.A.J., Suárez, L., Fereres, E., A new era in remote sensing of crops with unmanned robots, SPIE Newsroom, DOI: 10.1117/2.1200812.1438.
30. 2008. Kempeneers, P., P.J. Zarco-Tejada, P.R.J. North, S. De Backer, S. Delalieux , G. Sepulcre-Cantó, F. Morales, J.A.N. Van Aardt, R. Sagardoy, P. Coppin, P. Scheunders, Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery, International Journal of Remote Sensing (Vol. 29, Nos. 17-18, September 2008, 5093-5111).
29. 2008. Hu, B., J.R. Miller, P.J. Zarco-Tejada, J. Freemantle, H. Zwick, Boreal Forest Mapping at the BOREAS Study Area Using Seasonal Optical Indices Sensitive to Plant Pigment Content, Can. J. Remote Sensing , Vol. 34, Suppl. 1, S158-S171.
28. 2008. Suárez, L., Zarco-Tejada, P.J., Sepulcre-Cantó, G., Pérez-Priego, O., Miller, J.R., Jiménez-Muñoz, J.C., Sobrino, J., Assessing Canopy PRI for Water Stress detection with Diurnal Airborne Imagery, Remote Sensing of Environment, 112, 560-575.
27. 2007. Cheng, Y-B, Wharton, S., Ustin, S.L., Zarco-Tejada, P.J., Falk, M., Kyaw Tha Paw U, Relationships between Moderate Resolution Imaging Spectroradiometer water indexes and tower flux data in an old growth conifer forest, Journal of Applied Remote Sensing, Vol. 1, 013513.
26. 2007. Martin, P., Zarco-Tejada, P., González, M.R., Berjon, A., Using Hyperspectral Remote Sensing to mapgrape quality in ‘Tempranillo’ Vineyards affected by Iron deficiency Chlorosis, Vitis 46 (1).
25. 2007. Sepulcre-Cantó, G., Zarco-Tejada, P.J., Jiménez-Muñoz, J.C., Sobrino, J.A., Soriano, M.A., Fereres, E., Vega, V., Pastor, M., Monitoring Yield and Fruit quality parameters in Open-Canopy Tree crops under Water Stress. Implications for ASTER, Remote Sensing of Environment, 107, 455-470.
24. 2006. Cheng, Y-B, Zarco-Tejada, P.J., Riaño, D., Rueda, C.A. and Ustin, S.L., Estimating Vegetation Water content with Hyperspectral data for different Canopy scenarios: Relationships between AVIRIS and MODIS Indexes, Remote Sensing of Environment, 105, 354-366.
23. 2006. Sobrino, J.A., Jiménez-Muñoz, J.C., Zarco-Tejada, P.J., Sepulcre-Cantó, G., de Miguel, E., Land Surface Temperature derived from Airborne Hyperspectral Scanner Thermal Infrared data, Remote Sensing of Environment, 102, 99-115.
22. 2006. Zarco-Tejada, P.J., J.R. Miller, R. Pedrós, W. Verhoef, M. Berger, FluorMODgui V3.0 – A Graphic User Interface for the Leaf and Canopy Simulation of Chlorophyll Fluorescence, Computers & Geosciences, 32/5, 577-591.
21. 2006. Sepulcre-Cantó, G., Zarco-Tejada, P.J., Jiménez-Muñoz, J.C., Sobrino, J.A., de Miguel, E., Villalobos, F.J.,Detection of Water Stress in an Olive Orchard with Thermal Remote Sensing Imagery, Agricultural and Forest Meteorology, 136, 31-44.
20. 2005. Zarco-Tejada, P.J., Berjón, A., López-Lozano, R., Miller, J.R., Martín, P., Cachorro, V., González, M.R., Frutos, A., Assessing Vineyard Condition with Hyperspectral Indices: Leaf and Canopy Reflectance Simulation in a Row-Structured Discontinuous Canopy, Remote Sensing of Environment, 99, 271-287.
19. 2005. Pérez-Priego, O., Zarco-Tejada, P.J., Miller, J.R., Sepulcre-Cantó, G., Fereres, E., Detection of Water Stress in Orchard Trees with a High-Resolution Spectrometer through Chlorophyll Fluorescence in-filling of the O2-A band, IEEE Transactions on Geoscience and Remote Sensing, 43(12), 2759-2769.
18. 2005. Dobrowski, S.Z., J.C. Pusknik, P.J. Zarco-Tejada, S.L. Ustin, Simple reflectance indices track heat and water stress induced changes in steady state chlorophyll fluorescence, Remote Sensing of Environment, 97(3), 403-414.
17. 2005. Zarco-Tejada, P.J., Whiting, M., Ustin, S.L., Temporal and Spatial Relationships between within-field Yield variability in Cotton and High-Spatial Hyperspectral Remote Sensing Imagery, Agronomy Journal, Vol. 97, No. 3, 641-653.
16. 2005. Riaño, D., Vaughan, P., Chuvieco, E., Zarco-Tejada, P.J., Ustin, S.L., Estimation of fuel moisture content by inversion of radiative transfer models to simulate equivalent water thickness and dry matter content: Analysis at leaf and canopy level, IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 4, 819-826.
15. 2004. Zarco-Tejada, P.J., J.R. Miller, A. Morales, A. Berjón, J. Agüera, Hyperspectral Indices and Model Simulation for Chlorophyll Estimation in Open-Canopy Tree Crops, Remote Sensing of Environment, 90(4), 463-476.
14. 2004. Haboudane, D., Miller, J.R., Pattey, E., Zarco-Tejada, P.J., Strachan, I., Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture, Remote Sensing of Environment, 90(3), 337-352.
13. 2004. Zarco-Tejada, P.J., J.R. Miller, Harron, J., Hu, B., Noland, T.L., Goel, N., Mohammed, G.H., P.H. Sampson,Needle Chlorophyll content estimation through model inversion using hyperspectral data from Boreal Conifer Forest Canopies, Remote Sensing of Environment, 89(2), 189-199.
12. 2004. Gamon, J.A., K.F. Huemmrich, D.R. Peddle, J. Chen, D. Fuentes, F.G. Hall, J.S. Kimball, S. Goetz, J. Gu, K.C. McDonald, J.R. Miller, M. Moghaddam, A.F. Rahman, J.L. Roujean, E.A. Smith, C.L. Walthall, P.J. Zarco-Tejada, B. Hu, R. Fernandes, J. Cihlar, Remote Sensing in BOREAS: Lessons learned, Remote Sensing of Environment, 89(2), 139-162.
11. 2003. Sampson, P.H., Zarco-Tejada, P.J., Mohammed, G.H., Miller, J.R., Noland, T.L., Fleming, R.L., Hyperspectral Remote Sensing of Forest Condition: Estimation of Chlorophyll content in tolerant Hardwoods, Forest Science, 49(3), 381-391.
10. 2003. Zarco-Tejada, P.J., Rueda, C.A., Ustin, S.L., Water content estimation in vegetation with MODIS reflectance data and model inversion methods, Remote Sensing of Environment, 85(1), 109-124.
9. 2003. Zarco-Tejada, P.J., Pushnik, J., Dobrowski, S., Ustin, S.L., Steady-state chlorophyll a Fluorescence detection from canopy derivative reflectance and Double-Peak Red-Edge effects, Remote Sensing of Environment, 84(2), 283-294.
8. 2002. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland, P.H. Sampson, Vegetation Stress detection through Chlorophyll a+b estimation and Fluorescence effects on Hyperspectral Imagery, Journal of Environmental Quality, 31, 1433-1441.
7. 2002. Haboudane, D., Miller, J.R., Tremblay, N, Zarco-Tejada, P.J., Dextraze, L, Integration of Hyperspectral Vegetation Indices for Prediction of Crop Chlorophyll Content for Application to Precision Agriculture, Remote Sensing of Environment, 81(2-3), 416-426.
6. 2001. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland, P.H. Sampson, Estimation of Chlorophyll Fluorescence under Natural Illumination from Hyperspectral Data, International Journal of Applied Earth Observation and Geoinformation (JAG), Special Issue on Applications of Imaging Spectroscopy, 3(4), 321-327.
5. 2001. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland, P.H. Sampson, Scaling-up and Model Inversion methods with narrow-band Optical Indices for Chlorophyll Content Estimation in closed Forest Canopies with Hyperspectral Data, IEEE Transactions on Geoscience and Remote Sensing, 39(7), 1491-1507.
4. 2000. Sampson, P.H., Mohammed, G.H., Zarco-Tejada, P.J., , Miller, J.R., Noland, T.L., Irving, D., Treitz, P.M., Colombo, S.J., Freemantle, J., The Bioindicators of Forest Condition Project: A physiological, remote sensing approach, Forest Chronicle, 76(6):941-952.
3. 2000. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland, Chlorophyll Fluorescence effects on Vegetation Apparent Reflectance: I. Leaf-level Measurements and Model Simulation, Remote Sensing of Environment, 74(3), 582-595.
2. 2000. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland, P.H. Sampson, Chlorophyll Fluorescence effects on Vegetation Apparent Reflectance: II. Laboratory and Airborne Canopy-Level Measurements with Hyperspectral Data, Remote Sensing of Environment,74(3), 596-608.
1. 1999. Zarco-Tejada, P.J., J.R. Miller. Land Cover Mapping at BOREAS using red edge spectral parameters from CASI imagery, Journal of Geophysical Research, Vol. 104, No D22, pp. 27921-27933.
Book Chapters and Reports
12. 2018. Pieter S. A. Beck, Laura Martinez Sanchez, Margherita di Leo, Yann Chemin, Giovanni Caudullo, Begoña de la Fuente Martín, Pablo J. Zarco Tejada, Remote Sensing in support of Plant Health Measures. Findings from the Canopy Health Monitoring (CanHeMon) project, Report – Joint Research Centre – European Commission, Scientific and Technical Research series.
11. 2017. Pablo J. Zarco-Tejada, Luciano Mateos, Elias Fereres, and Francisco J. Villalobos., New Tools and Methods in Agronomy, Chapter 33, In F.J. Villalobos, E. Fereres (eds.), Principles of Agronomy for Sustainable Agriculture, © Springer International Publishing AG 2016, DOI 10.1007/978-3-319-46116-8.
10. 2015. Beck, P.S.A., Zarco-Tejada, P.J., Strobl, P., San Miguel, J., The feasibility of detecting trees affected by the Pine Wood Nematode using remote sensing, Report EUR 27290 EN – Joint Research Centre – Institute for Environment and Sustainability, European Commission, Scientific and Technical Research series – ISSN 1831-9424, ISBN 978-92-79-48946-4, doi: 10.2788/711975.
9. 2015. Zarco-Tejada, P.J. (Coordinating Expert Final Report), Kempenaar, C. (Coordinating Expert Starting Paper), Bahr, C., Forristal, D., Fountas, S., Gil, E., Grenier, G., Hoerfarter, R., Jonsson, A., Jung, A., Lokhorst, K., Mazur, P., Mertens, K., Mottram, T., Nacke, E., Paree, P., Pastell, M., Pickel, P., Šileikytė, S., van den Borne, J., Vangeyte, J. (2015)., EIP-AGRI Focus Group on Precision Farming, Final Report, November 2015. European Innovation Partnership ‘Agricultural Productivity and Sustainability’ (EIP-AGRI), funded by European Commission. Here the link to the EIP-AGRI. Here the final report.
8. 2014. Zarco-Tejada, P.J., Hubbard, N., Loudjani, P., Precision Agriculture: An Opportunity for EU farmers – Potential support with the CAP2014-2020, Report for the European Parliament, Joint Research Centre (JRC) of the European Commission, Monitoring Agriculture ResourceS (MARS). Here the link to the European Parliament. Here the final report..
7. 2010. Treitz, P., Thomas, V., Zarco-Tejada, P.J., Gong, P., Curran, P., Hyperspectral Remote Sensing for Forestry Monograhp, In: Manual of Remote Sensing. American Society of Photogrammetry and Remote Sensing (ASPRS), ISBN: 1-57083-093-2.
6. 2005. Moran, S., Zarco-Tejada, P.J., Clarke, T., Crop Water Stress Detection Using Remote Sensing, Water Encyclopedia, Vol. 4: Surface and Agricultural Water, Lehr, Jay H. (Ed.), ISBN: 0-471-44164-3, John Wiley & Sons, London, UK, pp. 719-724.
5. 2004. Ustin, S.L., Zarco-Tejada, P.J., Jacquemoud, S., Asner, G.P., Remote Sensing of the Environmental: State of the Science and New Directions, In: Manual of Remote Sensing, Third Edition, American Society of Photogrammetry and Remote Sensing (ASPRS), S.L. Ustin (Ed.), ISBN: 0-471-31793-4, Vol 4, pp. 679-729, USA.
4. 2003. Mohammed, G.H., Zarco-Tejada, P.J., Miller, J.R.. Applications of Chlorophyll Fluorescence in Forestry and Ecophysiology, Chapter 9, In: J.R. DeEll (Ed.) Practical Applications of Chlorophyll Fluorescence in Plant Biology. Kluwer Academic Publishers, 2003, ISBN 1-4020-7440-9, pp. 79-124.
3. 2002. Sobrino, J.A. (Ed.). 3 Chapters in Recent Advances in Quantitative Remote Sensing, Universidad de Valencia, Valencia, Spain, ISBN 84-370-5515-6, 2002, 984 pp.
2. 2002. Zarco-Tejada, P.J., Miller, J.R., Mohammed, G.H.. Remote Sensing of Solar-Induced Chlorophyll Fluorescence from Vegetation Hyperspectral Reflectance and Radiative Transfer Simulation, Chapter 11, In R.S. Muttiah (Ed.) From Laboratory Spectroscopy to Remote Sensed Spectra of Terrestrial Ecosystems, Kluwer Academic Publishers, Dordrecht, Hardbound, ISBN 1-4020-0753-1, October 2002, 328 pp.
1. 2000. Zarco-Tejada, P.J., Miller, J.R., Mohammed, G.H., Noland, T., Sampson, P.H.. Optical Indices as Bioindicators of Forest Condition from Hyperspectral CASI data, Chapter 10, In J.L. Casanova (Ed.) Remote Sensing in the 21st Century: Economic and Environmental Applications. Balkema, Rotterdam.
Proceedings, Symposia and others Publications
168. 2024. Zarco-Tejada, P.J., Hyperspectral and thermal imaging for forest health monitoring: 25 years of progress, Keynote speech at the ForestSAT 2024 Conference, Rotorua, New Zealand, 9-13 September 2024.
167. 2024. Poblete T., Zarco-Tejada P.J., Watt M., Hyperspectral Remote Sensing for Monitoring Radiata Pine Health: Nutrient Status and Disease Detection, ForestSAT 2024 Conference, Rotorua, New Zealand, 9-13 September 2024.
166. 2024. Wang, N., Poblete, T., Belwalkar, A., Wang, Y., Scalisi, A., O’Connell, M. G., Bonzi, L., Gonzalez-Dugo, V., Zarco-Tejada, P.J., Sensitivity of SIF and canopy temperature to water stress and recovery in almond trees quantified from airborne sub-nanometer and narrow-band hyperspectral imagers, 7th International Symposium on Recent Advances in Quantitative Remote Sensing: RAQRS’VII, 23-27 September 2024.
165. 2024. Wang, Y., Suarez, L., Poblete, T., Hornero, A., Gonzalez-Dugo, V., Ryu, D., Zarco-Tejada, P.J., Monitoring leaf nitrogen in almond orchards using airborne hyperspectral and Sentinel-2 imagery, Acta Horticulturae, 1395, 149-156. DOI: 10.17660/ActaHortic.2024.1395.20.
164. 2024. Poblete, T., González-Dugo, V., Hornero, A., Zarco-Tejada, P.J., Water stress detection in olive at the farm level using high-resolution multispectral airborne imagery: assessment against canopy temperature, Acta Horticulturae, 1395, 23-30. DOI: 10.1109/IGARSS52108.2023.10282230.
163. 2023. Poblete, T., González-Dugo, V., Hornero, A., Zarco-Tejada, P.J., Water stress detection in a large olive orchard using high-resolution multispectral airborne imagery: assessment against CWSI, II International Symposium on Precision Management of Orchards and Vineyards, Tatura, Victoria (Australia), 3-8 December 2023.
162. 2023. Wang, Y., Suarez, L., Poblete, T., Hornero, A., Gonzalez-Dugo, V., Ryu, D., Zarco-Tejada, P.J., Leaf nitrogen estimation in almond orchards using chlorophyll fluorescence and plant traits derived from airborne hyperspectral and Sentinel-2 imagery, II International Symposium on Precision Management of Orchards and Vineyards, Tatura, Victoria (Australia), 3-8 December 2023.
161. 2023. Choi, W., Ryu, Y., Kimm, H., Yeon, I., Zarco-Tejada, P.J., Poblete, T., Belwalkar, A., Comparison of SIF retrieval methods for estimating plant physiological changes from moderate spectral resolution imagery, AGU23, San Francisco, CA (USA), 11-15 December 2023.
160. 2023. Wang, Y., Suarez, L., Ryu, D., Moar, P., Zarco-Tejada, P.J., Leaf nutrient assessment from DESIS imaging spectrometer using radiative transfer and machine learning models, 2023 13th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Athens, Greece, October 31st-November 2nd, 2023.
159. 2023. Potgieter A., Camino C., Poblete T., Zhi X., Reynolds-Massey-Reed S., Zhao Y, Belwalkar A., Ruizhu J., George-Jaeggli B., Chapman S., Jordan D., Wu A., Hammer G.L., Zarco-Tejada P.J., Advances in the study of biochemical, morphological and physiological traits of wheat and sorghum crops in Australia using hyperspectral data and machine learning, IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium, doi: 10.1109/IGARSS52108.2023.10282230.
158. 2023. Belwalkar, A., Poblete, T., Hornero, A., Zarco-Tejada, P.J., Evaluating the relative contribution of photosystems I and II for leaf nitrogen estimation using fractional depth of Fraunhofer lines and SIF derived from sub-nanometer airborne hyperspectral imagery, IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium, doi: 10.1109/IGARSS52108.2023.10281680.
157. 2023. Wang, Y., Suarez, L., Ryu, D., Zarco-Tejada, P.J., Evaluating the contribution of Cx to leaf nitrogen quantification using Fluspect and airborne imaging spectroscopy in almond orchards, IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium, doi: 10.1109/IGARSS52108.2023.10281716.
156. 2023. Poblete, T., Hornero, A., Gonzalez-Dugo, V., Landa, B.B., Navas-Cortes, J.A., Zarco-Tejada, P.J., Early disease detection with hyperspectral imagery: dynamics of plant traits as a function of disease severity levels, IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium, doi: 10.1109/IGARSS52108.2023.10283450.
155. 2023. Zarco-Tejada, P.J., Poblete, T., Camino, C., Calderon, R., Hornero, A., Hernandez-Clemente, R., Gonzalez-Dugo, V., Landa, B.B., Navas-Cortes, J.A., High-resolution hyperspectral and thermal imaging for the early detection of plant diseases. Prospects and limitations, ICPP, 2023. Lyon (France), 19th-20th August 2023.
154. 2023. Camino, C., Araño, K., Dutrieux, L., Arriga, N., Gomarasca,U., Šigut, L., Pavelka, M., Kowalska, N., Caudullo, G., Lukeš, P., Zarco-Tejada, P.J., M. Migliavacca, P.S.A. Beck., Quantifying Vcmax and plant traits to monitor forest decline symptoms by coupling satellite images and biophysical models, ICPP, 2023. Lyon (France), 19th-20th August 2023.
153. 2023. Poblete, T., Navas-Cortes, J.A., Hornero, A., Camino, C., Calderon, R., Hernandez- Clemente, R., Landa, B.B., Zarco-Tejada, P.J., Detection of symptoms induced by Xylella fastidiosa with high-resolution multispectral satellite data: assessment with airborne hyperspectral imagery, ICPP, 2023. Lyon (France), 19th-20th August 2023.
152. 2023. Carpintero, E., Moldero, D., Zarco-Tejada, P.J., González-Dugo, V., Assessment of water status in almond trees using optical indices at high and medium spatial resolution, EGU General Assembly 2023, Vienna, Austria, 23-28 April 2023.
151. 2022. Jose L. Pancorbo, Carlos Camino, María Alonso-Ayuso, María D. Raya-Sereno, Ignacio Gonzalez-Fernandez, Jose L. Gabriel, Pablo J. Zarco-Tejada, Miguel Quemada, Hyperspectral and thermal sensors for distinguishing between nitrogen and water stress in winter wheat, XXI International N Workshop, 24th – 28th October 2022, Madrid, Spain.
150. 2022. Andrew Longmire, Tomás Poblete, James Hunt, Deli Chen, Pablo Zarco-Tejada, Wheat grain protein content estimated by machine learning from hyperspectral and thermal remote sensing images, XXI International N Workshop, 24th – 28th October 2022, Madrid, Spain.
149. 2022. José L. Pancorbo, María Alonso-Ayuso, Carlos Camino, María D. Raya-Sereno, Íñigo Molina, Pablo J. Zarco-Tejada, José L. Gabriel, Miguel Quemada, Winter wheat traits prediction through ensemble modeling approaches using hyperspectral and Sentinel-2 imagery, XXI International N Workshop, 24th – 28th October 2022, Madrid, Spain.
148. 2022. María D. Raya-Sereno, María Alonso-Ayuso, José L. Pancorbo, José L. Gabriel, Carlos Camino, Pablo J. Zarco-Tejada, Miguel Quemada, High-resolution hyperspectral imagery and ground-level sensors to detect N fertilizer rate and residual effect in winter wheat, XXI International N Workshop, 24th – 28th October 2022, Madrid, Spain.
147. 2022. Carlos Camino, Keith Araño, Loic Dutrieux, Corentin Bolyn, Jose Antonio Berni, Alberto Hornero, Ladislav Šigut, Marián Pavelka, Natalia Kowalska, Nicola Arriga, Petr Lukeš, Uwe Rascher, Pablo Jesus Zarco-Tejada, Mirco Migliavacca, Pieter S.A. Beck, Interpreting Sentinel-2 images through radiative transfer models to monitor forest health, ForestSAT 2022, 29th Aug. – 3rd Sept. 2022, Berlin, Germany.
146. 2022. Michael Stuart WATT, Grant Pearse, Tomas Poblete, Robin J. L. Hartley, Peter D. Massam, Dilshan de Silva, Honey Jane C. Estarija, Ellen Mae C. Leonardo, Warren Yorston, Henning Buddenbaum, Pablo J. Zarco-Tejada, Remote sensing and transforming tree phenotyping, ForestSAT 2022, 29th Aug. – 3rd Sept. 2022, Berlin, Germany.
145. 2022. Belwalkar, A., Poblete, T., Hornero, A., Zarco-Tejada, P.J., Accounting for the Spectral Resolution on SIF Retrieval From a Narrow-Band Airborne Imager Using SCOPE, IGARSS 2022 – 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 5440-5443, doi: 10.1109/IGARSS46834.2022.9884564.
144. 2022. Wang, Y., Suarez, L., Gonzalez-Dugo, V., Ryu, D., Moar, P., Zarco-Tejada, P.J., Leaf Nitrogen Assessment with ISS DESIS Imaging Spectrometer as Compared to High-Resolution Airborne Hyperspectral Imagery, IGARSS 2022 – 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 5444-5447, doi: 10.1109/IGARSS46834.2022.9884759.
143. 2022. Zarco-Tejada, P.J., Hyperspectral imaging for early detection of plant diseases. Community of Practise Conference, Department of Agriculture, Water and the Environment (DAWE), Canberra, June 7-8th, 2022.
142. 2022. Henning Buddenbaum, Michael S. Watt, Peter Massam, Robin Hartley, Ellen-Mae Leonardo, Honey Jane Estarija, Dilshan de Silva, Tomas Poblete, and Pablo Zarco-Tejada, Phenotyping Radiata Pine Plantations using Proximal and Remote Sensing. Living Planet Symposium, Bonn, Germany, May 23-27th, 2022.
141. 2022. Zarco-Tejada, P.J., Poblete, T., Camino, C., Gonzalez-Dugo, V., Calderon, R., Hornero, A., Hernandez-Clemente, R., Román-Écija, M., Velasco-Amo, M.P., Landa , B.B., Beck, P.S.A., Saponari, M., Boscia, D. & Navas Cortes, J.A., Use of hyperspectral analysis to detect plant pathogens. Plant Biosecurity Research Symposium 2022, 11 and 12 May 2022, The National Wine Centre, Adelaide, Australia.
140. 2021. Wang, Y., Suarez, L., Ryu, D., P., Moar, Zarco-Tejada, P.J., Nitrogen estimation in almond orchards from DESIS imaging spectrometer onboard the international space station. ISPRS International Society for Photogrammetry and Remote Sensing, 1st DESIS User Workshop, 28th Sep-1st Oct, 2021, Virtual event.
139. 2021. Poblete, T., Watt M.S., Buddenbaum H., Zarco-Tejada P.J., Assessing empirical vs. radiative transfer algorithms for seasonal monitoring of chlorophyll and N content in radiata pine using hyperspectral imagery. Institute of Foresters of Australia and Australian Forest Growers (IFA/AFG) National Conference 2021, 10-14th October 2021, Launceston, Tasmania, Australia.
138. 2021. Belwalkar, A., Poblete, T., Longmire, A., Hornero, A., Zarco-Tejada, P.J., Comparing the retrieval of chlorophyll fluorescence from two airborne hyperspectral imagers with different spectral resolutions for plant phenotyping studies. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 5845-5848, doi: 10.1109/IGARSS47720.2021.9553265.
137. 2021. Wang, Y., Suarez, L., Qian, X., Poblete, T., Gonzalez-Dugo, V., Ryu, D., Zarco-Tejada, P.J., Assessing the contribution of airborne-retrieved chlorophyll fluorescence for nitrogen assessment in almond orchards. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 5853-5856, doi: 10.1109/IGARSS47720.2021.9554648.
136. 2021. Poblete, T., Navas-Cortes, J.A., Camino, C., Calderon, R., Hornero, A., Gonzalez-Dugo, V., Landa, B.B., Zarco-Tejada, P.J., Using hyperspectral imagery and a multi-stage machine learning algorithm to distinguish infection symptoms caused by two xylem-limited pathogens. 3rd European Conference on Xylella fastidiosa, 29-30th April, 2021. Online event.
135. 2021. Zarco-Tejada, P.J., Poblete, T., Calderon, R., Hornero, A., Hernández-Clemente, R., Kattenborn, T., Montes-Borrego, M., Román-Écija, M., Velasco-Amo, M.P., Susca, L., Morelli, M., Gonzalez-Dugo, V., Landa, B.B., Beck, P.S.A., Boscia, D., Saponari, M., Navas-Cortes, J.A., Progress and achievements on the early detection of Xylella fastidiosa infection and symptom development with hyperspectral and thermal remote sensing imagery. 3rd European Conference on Xylella fastidiosa, 29-30th April, 2021. Online event.
134. 2021. Camino, C., Calderón, R., Parnell, S. Dierkes, H., Chemin, Y., Roman, M., Montes-Borrego, M., Landa, B.B., Navas-Cortes, J.A., Zarco-Tejada, P.J., Beck, P.S.A., Integrating an epidemic spread model with remote sensing for Xylella fastidiosa detection. 3rd European Conference on Xylella fastidiosa, 29-30th April, 2021. Online event.
133. 2020. Raya-Sereno, M.D., Alonso-Ayuso, M., Pancorbo, J.L., Gabriel, J.L., Camino, C., Zarco-Tejada, P.J., Quemada, M., Ground level and aerial sensors to assess wheat N status and to adjust N fertilization. Proceedings of the XVI European Society for Agronomy Congress, 1-3 September 2020, Seville (Spain).
132. 2020. Pancorbo, J.L., Alonso-Ayuso, M., Raya-Sereno, M.D., Gabriel, J.L., Camino, C., Zarco-Tejada, P.J., Quemada, M., Hyperspectral and thermal imagery to assess nitrogen and water status in winter wheat. Proceedings of the XVI European Society for Agronomy Congress, 1-3 September 2020, Seville (Spain).
131. 2020. Raya-Sereno, M. Alonso-Ayuso, JL. Pancorbo, JL. Gabriel, C. Camino, PJ. Zarco-Tejada, M. Quemada, Ground level and aerial sensors to detect crop N status and adjust fertilizer application. The 8th International Nitrogen Initiative Conference, INI2020, May 03-07th, 2020; Berlin, Germany.
130. 2020. Gracia-Romero, A., Longmire, A.R., Belwakar, A., Poblete, T., Zarco-Tejada, P.J., Assessing relationships between hyperspectral imagery and wheat parameters. III Spanish Symposium on Physiology and Breeding of Cereals. November 17-18th, 2020; Pamplona, Spain.
129. 2019. Martinez Sanchez, L., Scholten, R., Hornero, A., Navas-Cortes, J.A., Zarco-Tejada, P.J., Beck, P.S.A., Monitoring the impact of Xylella on Apulia’s olive orchards using Sentinel-2 satellite data and aerial photographs. 2nd European Conference on Xylella fastidiosa. October 29-30th 2019; Ajaccio, France.
128. 2019. Hornero, A., Hernández-Clemente, R., North, P.R.J., Beck, P.S.A., Boscia, D., Navas-Cortes, J.A., Zarco-Tejada, P.J., Spatiotemporal monitoring of Xylella fastidiosa in olive trees using radiative transfer models and Sentinel-2 images. 2nd European Conference on Xylella fastidiosa. October 29-30th 2019; Ajaccio, France.
127. 2018. Beck, P.S.A., Camino, C., Calderón, R.,Hornero, A., Hernández-Clemente, R., Kattenborn, T., Montes-Borrego, M., Susca, D., Morelli, M., Gonzalez-Dugo, V., North, P.R.J., Carstens, C.J., Landa, B.B., Boscia, D., Saponari, M., Strona, G., Navas-Cortes, J.A., Zarco-Tejada, P.J., Anticipating and understanding new Xylella fastidiosa epidemics across European landscapes; insights from remote sensing and network analysis. ICCP Boston, Hynes Convention Center – Room 312, July 29-3th August 2018; Boston, Massachusetts.
126. 2018. González-Dugo, V., Testi, L., Orgaz, F., Zarco-Tejada, P.J., Fereres, E., Transpiration measurement in orchard tree crops based on sap flow sensors and thermal information. EGU General Assembly 2018. April 8-13th 2018; Viena, Austria.
125. 2018. Ramirez-Cuesta, J.M., Allen, R.G., Kilic, A., Zarco-Tejada, P.J., Santos, C., and Lorite, I.J. Sensitivity analysis of METRIC-derived crop evapotranspiration to spatial resolution changes on an olive orchard using high-resolution hyperspectral and thermal images. Remote Sensing and Hydrology Symposium (ICRS-IAHS). May 8-10th 2018; Cordoba ,Spain.
124. 2018. Hornero, A., Hernández-Clemente, R., Beck, P.S.A., Navas-Cortés, J.A., Zarco-Tejada, P.J. Using Sentinel-2 imagery to track changes produced by Xylella fastidiosa in olive trees. International Geoscience and Remote Sensing Symposium, IGARSS 2018. 24-27th July 2018; Valencia, Spain.
123. 2018. Hernández-Clemente, R., North, P.R.J., Hornero, A., Zarco-Tejada, P.J. Monitoring forest health with sun-induced chlorophyll fluorescence observations and 3-D radiative transfer modeling. International Geoscience and Remote Sensing Symposium, IGARSS 2018. 24-27th July 2018; Valencia, Spain.
122. 2018. Camino, C., Zarco-Tejada, P.J., González-Dugo, V. Assessment of the spatial variability of CWSI within almond tree crowns and its effects on the relationship with stomatal conductance. International Geoscience and Remote Sensing Symposium, IGARSS 2018. 24-27th July 2018; Valencia, Spain.
121. 2017. Sheng Wang , Filippo Bandini , Jakob Jakobsen , Pablo J. Zarco-Tejada , Majken Caroline Looms Zibar, Xin Liu , Daniel Haugård Olesen , Andreas Ibrom , Peter Bauer-Gottwein , Monica Garcia. Continuous estimation of gross primary productivity and evapotranspiration from an Unmanned Aerial System. AGU, 11 – 15 December 2017; New Orleans.
120. 2017. Quemada, M., Gabriel, J.L., Zarco-Tejada, P.J., Lopez-Herrera, J., Pérez-Martín, E., Alonso-Ayuso, M. Monitoring maize N status with airbone and ground leven sensors. Innovate solutions for sustainable management of nitrogen, Aarhus University and the dNmark.org Research Alliance DNC 2017, Aarhus University, June 2017; Århus, Denmark.
119. 2017. Gómez-Giráldez ,P.J., Nieto ,H., Andreu , A., Carpintero ,E., González-Dugo , M.P., Zarco-Tejada, P.J., Comparison of two fAPAR remote sensing methods for estimating Gross Primary Production. Dresden nexus conference, DNC 2017 , 17-19th May 2017; Dresden, Germany.
118. 2017. Camino, C., González-Dugo V., López-López M., Zarco-Tejada, P.J., Crown segmentation effects on the relation between field-measured assimilation and chlorophyll fluorescence quantified from high-spatial resolution hyperspectral imagery. 5th International Symposium Recent Advances in Quantitative Remote Sensing, 18-22th September 2017; Valencia, Spain.
117. 2017. Hernández-Clemente R, North P, Hornero A, and Zarco-Tejada P., Assessing potential of sun-induced chlorophyll fluorescence for early detection of forest decline using a 3-D radiative transfer model accounting for forest structure. 5th International Symposium on Recent Advances in Quantitative Remote Sensing: RAQRS’V, 18-22th September 2017, Valencia, (Spain).
116. 2017. Sheng Wang, Carsten Dam-Hansen, Pablo J. Zarco Tejada, Radu Malureanu, Filippo Bandini, Jakob Jakobsen, Andreas Ibrom, Peter Bauer-Gottwein, Monica Garcia, Optimizing sensitivity of Unmanned Aerial System optical sensors for low zenith angles and cloudy conditions. 10th EARSeL SIG Imaging Spectroscopy Workshop, 19 – 21 April 2017, EARSeL & University of Zurich, Switzerland.
115. 2017. Sheng Wang, Filippo Bandini, Jakob Jakobsen, Pablo J. Zarco-Tejada, Christian Josef Köppl, Daniel Haugård Olesen, Andreas Ibrom, Peter Bauer-Gottwein, Monica Garcia., A continuous hyperspatial monitoring system of evapotranspiration and gross primary productivity from Unmanned Aerial Systems. European Geosciences Union (EGU) General Assembly, Vienna, Austria, 23–28 April 2017.
114. 2017. P.J. Zarco-Tejada. , Imaging spectroscopy from unmanned aerial systems (UAS): Recent advances in technology and applications, Keynote on Session “Imaging spectroscopy from unmanned aerial systems (UAS): Recent advances in technology and applications”. 10th EARSeL SIG Imaging Spectroscopy Workshop, 19 – 21 April 2017, EARSeL & University of Zurich, Switzerland.
113. 2017. Camino, C., González-Dugo, V., Mérida-García, R., Hernández, P., Zarco-Tejada, P.J., Retrieval of wheat nitrogen content using airborne hyperspectral VNIR-SWIR imagery through radiative transfer models and chlorophyll fluorescence quantification”. 10th EARSeL SIG Imaging Spectroscopy Workshop, 19 – 21 April 2017, EARSeL & University of Zurich, Switzerland.
112. 2017. R. Hernández-Clemente, P.R.J. North, A. Hornero, P.J. Zarco-Tejada. , Assessing potential of sun-induced chlorophyll fluorescence for early detection of forest decline using a 3-D radiative transfer model accounting for forest structure. FLEX 2017, “Remote sensing of fluorescence, photosynthesis and vegetation status”. 17 – 19 January 2017, ESA-ESRIN, Frascati, Italy.
111. 2016. Hernandez-Clemente, R., North, P.R.J., Zarco-Tejada, P.J., A new integrated canopy fluorescence model based for remote sensing of forest health and productivity, Linking Hyperspectral Imaging and Ecophysiological Traits for Detecting Oak Forest Decline at an Early Stage. Presented at the NCEO’s Annual Science meeting, NCEO, Coventry, UK..
110. 2015. Rodrigues Jr., F.A., Ortiz-Monasterio, I., Zarco-Tejada, P.J., Schulthess, U., Gérard, B., High resolution remote and proximal sensing on assessing low and high yield areas in a farmer’s wheat field,. 10th European Conference on Precision Agriculture, July 12th-16th, Volcani Center, Israel.
109. 2014. Zarco-Tejada, P.J., Water Stress Detection Using Thermal and Hyperspectral Imagery Acquired from Unmanned Aerial Vehicles., Long Beach Convention Center, Room 201B, 3th November.
108. 2014. Bloom, Arnold Jeffrey., Vadez, Vincent., Prasad, P.V. Vara., Slafer, Gustavo A., Badger, Murray R., Cairns, Jill., Tattaris, Maria., Zaman-Allah, Mainassara., Zarco-Tejada, P.J., Chapman, Scott C., Flavell, Richard., Future Directions for Crop Physiology., Hyatt Regency Long Beach, Regency Ballroom D, 3th November.
107. 2014. Brungardt, Josh J., Spinelli, Charles B., Honkavaara, Eija., Zarco-Tejada, P.J., E. Raymond Hunt Jr., Tattaris, Maria., Ehsani, Reza., Huang, Yanbo., Basso, Bruno., Agricultural Remote Sensing with UAVs: Challenges and Opportunities., Long Beach Convention Center, Room 201B, 3th November.
106. 2014. Cairns, Jill., Tattaris, Maria., Zaman-Allah, Mainassara., Zarco-Tejada, P.J., Luis Araus, Jose., Mtimamba, Charles., Hornero, Alberto., Ndlela, Thokozile., P. Reynolds, Matthew., Developing Improved Wheat and Maize Varieties for Future Climates Using Remote Sensing at CIMMYT., Hyatt Regency Long Beach, Regency Ballroom D, 3th November.
105. 2014. Bellvert J., Zarco-Tejada P.J., Girona J., González-Dugo V., Fereres E., A tool for detecting crop water status using airborne high-resolution thermal imagery , V Sustainable Irrigation and Drainage Conferences, Poland. WIT Transactions on Ecology and The Environment, Vol 185, p.25-31. ISSN 1743-3541 (on-line), doi:10.2495/SI140031.
104. 2014. Rodrigues Jr., F.A., Ortiz-Monasterio, I., Zarco-Tejada, P.J., Ammar, Karim., Gérard, B., Using precision agriculture and remote sensing techniques to improve genotype selection in a breeding program., 12th International conferences in Precision Agriculture 2014, July 20th-23th, Sacramento, California.
103. 2014. Bellvert, J., Zarco-Tejada, P.J., González-Dugo, V., Girona, J., Fereres, E., Detection of fruit tree water status in orchards from thermal remote sensing images., 12th International conferences in Precision Agriculture 2014, July 20th-23th, Sacramento, California.
102. 2014. Rodrigues Jr., F.A., Ortiz-Monasterio, I., Zarco-Tejada, P.J., Gérard, B., Contribution of precision agriculture on assessing the spatial variability of yield and quality in a commercial wheat field., Digital Rural Future Conference 2014, June 25th-27th, USQ, Toowoomba, Queensland, Australia.
101. 2014. Bellvert, J., Zarco-Tejada, P.J., Marsal, J., Mata, M., González-Dugo, V., Girona, J., Romero, R., Fereres, E., INNPACTO project: A tool for scheduling irrigation using airborne high resolution thermal imagery., Sustanaible Irrigation conferences 2014, Wessex Institute of Technology, Poznan (Poland), Accepted.
100. 2014. Gabriel, J.L., Zarco-Tejada, P.J., Quemada, M., The nitrogen challenge: Bulding a blueprint for nitrogen use efficiency and food security., Proceedings of the 18 th Nitrogen Workshop, edited by Cláudia S.C. Marques dos santos Cordovil, Lisboa, Portugal, June 30th- July 3rd p.94-95.
99. 2013. Bellvert, J., Zarco-Tejada P.J., González-Dugo, V., Girona J., Fereres E., Scheduling vineyard irrigation based on mapping leaf water potential from airborne thermal images. Advances in precision irrigation., Precision agriculture’13, edited by J.V. Stafford. Wageningen, The Netherlands: Wageningen Academic Publishers, p.699-704.
98. 2013. Bellvert, J., Zarco-Tejada P.J., Girona J., Fereres E., Determination of vine water status based onusing high resolution thermal images obtained from an unmanned aerial vehicle (UAV)., CAET 2013. XV Spanish Association of Remote Sensing Congress, October, Madrid, Spain.
97. 2013. Calderón, R., Navas-Cortés, J.A., Lucena, C., Zarco-Tejada, P.J., High-resolution hyperspectral and thermal imagery acquired from UAV platforms for early detection of Verticillium wilt using fluorescence, temperature and narrow-band indices, Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation, Cologne, Germany, September 9th – 10th, 2013.
96. 2013. Bellvert, J., Zarco-Tejada, P.J., Mata, M., Bonastre, N., Paris, C., González-Dugo, V., Girona, J., Romero, R., Fereres, E., INNPACTO project: A tool for scheduling irrigation using airborne high resolution thermal imagery, European Precision Agriculture conferences, July 7th-10th, Lleida, Spain.
95. 2013. Alarcon, F., Cordero, M., Van der Wal, T., Abma, B., Prévinaire, E., Zarco-Tejada, P.J., Serruys, P., Van Valkengoed, E. Van der Voet, P. and Viguria, A., EGNOS-based navigation solution for RPAS in precision agriculture applications, Presented at the International Conference on Remotely Piloted Aircraft Systems (RPAS), Royal Military Academy, Brussels, Belgium, June 2013.
94. 2012. Castillo, C., Zarco-Tejada, P.J., Laredo, M., Gómez, J.A., Quantification of gully volume using very high resolution DSM generated through 3D reconstruction from airborne and field digital imagery, Geophysical Research Abstracts, Vol. 15, EGU2013-6339-1, 2013, EGU General Assembly 2013.
93. 2012. Santos, C., Zarco-Tejada, P.J., Lorite, I.J., Allen, R.G., Spatial resolution effects on the assessment of evapotranspiration in olive orchards using high resolution thermal imagery, Geophysical Research Abstracts, Vol. 15, EGU2013-11199, 2013, EGU General Assembly 2013.
92. 2012. V. Silva, H. Greidanus, P. Zarco-Tejada and P. Loudjani European Commission Joint Research Centre, RPAS Applications With Societal Benefits – JRC’s RPAS-Related Activities, in RPAS Remotely Piloted Aircraft Systems, 2012 RPAS Yearbook, RPAS: The Global Perspective, 10th Edition, June 2012, Blyenburgh & Co, pp. 42-45.
91. 2012. A.M. Tarquis, J. Rodriguez-Gonzalez, A. Saa-Requejo, J.L. Valencia, P. Zarco, and J.A. Gómez, Influence of tillage on soil surface roughness structure and surface porosity, 2nd International Conference on Hydropedology ,22-27th 1-5th July, Leipzig, Germany .
90. 2012. González-Dugo, V., Zarco-Tejada, P.J., Ruz, C., Fereres, E., Assessment of the heterogeneity of water status in commercial orchards by high resolution thermal imagery, Symposium of Horticulture In Europe , 1-5th July, Angers, France .
89. 2012. Zarco-Tejada, P.J., Berni, J.A.J., Vegetation monitoring using a micro-hyperspectral imaging sensor onboard an Unmanned Aerial Vehicle (UAV), Presented at the European Calibration and Orientation Workshop (EuroCOW), 7-10th February, Barcelona, Spain .
88. 2011. Catalina, A., González, R., González, M.R., Zarco-Tejada, P.J., Martín, P., Iron and water stress differently affect vine photosynthetic efficiency and grape composition, Presented at the XXXIV World Congress of Vine and Wine, 20-27th June, Porto, Portugal.
87. 2011. Tarquis, A.M., Saa-Requejo, A., Rodriguez-Gonzalez, J., Gómez, A.A., Zarco-Tejada, P.J., Spatial variability of Soil Surface Roughness, EGU 2011 3-8th April, Geophysical Research Abstracts Vol. 13, EGU2011-13410, Viena, Austria.
86. 2011. Rodriguez Gonzalez, J., Zarco-Tejada, P.J., Gómez, A.A., Inversion of the Hapke model with diurnal multispectral reflectance data for assessing soil surface roughness, EGU 2011 3-8th April, Geophysical Research Abstracts Vol. 13, EGU2011-7673, Viena, Austria.
85. 2011. Rodriguez Gonzalez, J., Gómez, A.A., Zarco-Tejada, P.J., Assessing soil surface roughness using reflectance band indices obtained with an airborne multispectral sensor at very high spatial resolution, EGU 2011 3-8th April, Geophysical Research Abstracts Vol. 13, EGU2011-7848, Viena, Austria.
84. 2011. Bellvert, J., Zarco-Tejada, P.J., Girona, J., Fereres, E., Use of Crop Water Stress Index (CWSI) for scheduling vineyard irrigation, Conferences de Agricultura, Agua y Energía, March, Madrid, Spain.
83. 2011. Fereres, E., Goldhamer, D., Zarco-Tejada, P.J., Berni, J.A.J., González-Dugo,V.,Suárez, L., Detecting Irrigation Needs To Improve Water Management In Commercial Orchards, AGRI-SENSING 2011, International Symposium on Sensing in Agriculture In Memory of Dahlia Greidinger, 21-24th February, Haifa, Israel.
82. 2010. Hernandez-Clemente, R., Navarro-Cerrillo, R.M., Zarco-Tejada, P.J., Frieyro de Lara, J.E., Suarez, L., A. Hayas-Lopez. Water stress detecction in Mediterranean conifer forest under decline condition base on the photoquemical reflectance index (PRI). FORESTSAT 2010 – ResearchGate, Operational tools in forestry using remote sensing techniques., Laboratorio do Territorio (Laborate), University of Santiago de Compostela, September 7 – 10, 2010, Lugo and Santiago de Compostela, Spain.
81. 2010. Hernandez-Clemente, R., Navarro-Cerrillo, R.M., Zarco-Tejada, P.J., Frieyro de Lara, J.E., Suarez, L., A. Hayas-Lopez. Estimating LAI and height using LiDAR on pine forest in southern Spain. FORESTSAT 2010 – ResearchGate, Operational tools in forestry using remote sensing techniques., Laboratorio do Territorio (Laborate), University of Santiago de Compostela, Lugo and Santiago de Compostela, Spain.
80. 2010. Hernandez-Clemente, R., Navarro-Cerrillo, R.M., Frieyro de Lara, J.E., Zarco-Tejada, P.J., Suarez, L., Hayas-Lopez, A., Sepulcre-Cantó, G. Estimation of biophysical parameters in Mediterranean conifer forest under decline condition by using AHS airborne imagery. FORESTSAT 2010 – ResearchGate, Operational tools in forestry using remote sensing techniques., Laboratorio do Territorio (Laborate), September 7 – 10, 2010, University of Santiago de Compostela, Lugo and Santiago de Compostela, Spain.
79. 2010. Gonzalez-Dugo, V., Ruz, C., Soriano, M.A., Suarez, L., Berni, J.A.J., Zarco-Tejada, P., Fereres, E. Response to regulated deficit irrigation of a nectarine orchard in Southern Spain, Acta Horticulturae 922: 217-220 (2011).
78. 2010. Suárez, L., Zarco-Tejada, P.J., Berni, J.A.J., González-Dugo, V., Fereres, E., Orchard water stress detection using hyperspectral remote sensing imagery, 28th International Horticultural Congress, 22-27th August, Lisbon, Portugal.
77. 2010. Suárez, L., Zarco-Tejada, P.J., Berni, J.A.J., González-Dugo, V., Fereres, E., Goldhamer, D., The effect of spatial resolution in remote sensing of water stress using optical and thermal imagery, 3rd International Symposium Recent Advances in Quantitative Remote Sensing, 27th September-1st October, ISBN: 978-84-370-7952-3, Publicacions de la Universitat de Valencia, pp. 355-357, Valencia, Spain.
76. 2010. P.J. Zarco-Tejada, J.A.J. Berni, V. González-Dugo, Spatial resolution effects on chlorophyll fluorescence detection using hyperspectral imagery acquired from an unmanned aerial vehicle (UAV), Presented at the 4th International Workshop on Remote Sensing of Vegetation Fluorescence.
75. 2009. Lucena, C., Berni, J.A.J., Montes-Borrego, M., Trapero-Casas, J.L., Landa, B.B., Zarco-Tejada, P., Navas-Cortes, J.A..High Resolution Thermal Remote Sensing Imagery for Verticillium Wilt Detection in Olive, 10th Verticillium Symposium 2009, November 16 – 20, 2009, Corfu Island, Hellas.
74. 2009. Berni, J.A.J; Zarco-Tejada, P; González-Dugo, V; Fereres, E.. Remote Sensing of Thermal Water Stress Indicators in Peach, 7th International Peach Symposium, June 8 – 11, 2009, Lleida, Spain.
73. 2009. Suárez, L.*, Zarco-Tejada, P.J., González-Dugo, V., Berni, J.A.J., Fereres, E. The Photochemical Reflectance Index (PRI) as a water stress indicator in peach orchards from remote sensing imagery, 7th International Peach Symposium, June 8 – 11, 2009, Lleida, Spain.
72. 2009. Berni, J.A.J, Suárez, L., Guillén, M, González-Dugo, V, Zarco-Tejada, P, Fereres, E.. Remote Sensing in Peach Orchards: Monitoring from Unmanned Aerial Vehicles (UAVs), 7th International Peach Symposium, June 8 – 11, 2009, Lleida, Spain.
71. 2009. González-Dugo, V., Ruz, C., Soriano, M.A., Berni, J.A.J, Suárez, L., Zarco-Tejada, P., Fereres, E.. Responses of Nectarine to regulated deficit irrigation at the field scaled, 7th International Peach Symposium, June 8 – 11, 2009, Lleida, Spain .
70. 2009. L. Suárez, P.J. Zarco-Tejada, V. González-Dugo, J.A.J. Berni, E. Fereres. Detecting Water Stress in Orchard Crops Using PRI from Airborne Imagery, 6th EARSeL SIG IS workshop IMAGING SPECTROSCOPY :Innovative tool for scientific and commercial environmental applications, March 16 – 19, 2009, Tel- Aviv, Israel.
69. 2009. Hernández-Clemente, R.; Navarro-Cerrillo, R. M.; Frieyro-De Lara,M.; Zarco-Tejada, P.J; Suárez-Barranco, L.; Hayas-Lopez,-,A.; Sepulcre-Cantó,G. Evaluating image-based estimates of biophysical parameters in mediterranean conifer forest in decline using airborne imagery, oral, 6th EARSeL SIG IS workshop IMAGING SPECTROSCOPY : Innovative tool for scientific and commercial environmental applications, March 16 – 19, Presented at the 6TH EARSEL Imaging spectroscopy sig workshop, Target conferences LTD., 2009, Tel- Aviv, Israel.
68. 2009. L. Morillas, M. García, M. Ladron de Guevara, L. Villagarcía, A. Were, P. Zarco-Tejada and F. Domingo,Derivation of the canopy conductance from surface temperature and spectral indices for estimating evapotranspiration in semiarid vegetation, Congreso Internacional sobre Desertificación en memoria del Profesor John B. Thornes, 16-18 September 2009, Murcia, Spain.
67. 2009. G . Sepulcre-Cantó, M. P. Diago, L. Suárez, J. A. J. Berni, P. Zarco-Tejada, F. Martínez de Toda, F. Morales, J. Tardáguila, Estudio de la variabilidad espacial del viñedo mediante métodos de teledetección de alta resolución, VI Congreso Ibérico de Ciencias Hortícolas, 25-29 de mayo de 2009, Logroño, España.
66. 2009. Jimenez Berni, Jose A.; Zarco-Tejada, Pablo J.; Suárez, Lola; Gozález-Dugo, Victoria; Fereres, Elías. Remote sensing of vegetation from UAV platforms using lightweight multispectral and thermal imaging sensors, ISPRS Hannover Workshop 2009.
65. 2008. González-Dugo, V., Ruz, C., Berni, J.A.J., Suárez, L., Guillén-Climent, ML., Zarco-Tejada, P.J., Soriano, M.A., Fereres, E. Regulated deficit irrigation in peach and nectarine at the farm level, Agriculture as Resource for Energy and Environmental Preservation – Multifunctional Agriculture, 10th Congress of the European Society for Agronomy (ESA), 15 September 2008, Bologna, Italy.
64. 2008. Guillén-Climent, M.L., Zarco-Tejada, P.J., Berni, J.A.J., Villalobos, F.J. Estimating Radiation Interception Using High Resolution Multispectral Imagery In Open-Tree Orchards, Agriculture as Resource for Energy and Environmental Preservation – Multifunctional Agriculture, 10th Congress of the European Society for Agronomy (ESA), 15 September 2008, Bologna, Italy.
63. 2008. J. Moreno, I. Moya, F. Miglietta, U. Rascher, M. Berger, W. Verhoef, G. Agati, A. Olioso, P. Zarco-Tejada, V. Rivalland, F. Magnani, Assessing gross primary production from solar-induced chlorophyll fluorescence: field results and integration into biogeophysical models, European Geophysical Union Proceedings.
62. 2007. Delalieux, S., J.A.N. van Aardt, P.J. Zarco-Tejada, P. Kempeneers, W.W. Verstraeten, P. Coppin,Development of robust hyperspectral indices for the detection of deviations of normal plant state, EARSeL eProceedings, ISSN 1729-3782, 6(2): 82-93.
61. 2006. S. Delalieux, P. Kempeneers, J.A.N. van Aardt, S. De Backer, P.J. Zarco-Tejada, G. Sepulcre-Cantó, R. Sagardoy, F. Morales Iribas, P. Scheunders, P. Coppin, Modelling biochemical processes in orchards at leaf- and canopy-level using hyperspectral data, Presented at the Airborne Imaging Spectroscopy Workshop, BruHyp 2006, 10 October 2006, Bruges, Belgium.
60. 2006. A .J. Berjón, V.E. Cachorro, P.J. Zarco-Tejada, A.M. Frutos, C. Toledano, Vegetation spectral reflectance inversion considering the temporal variation of biophysical parameters, In Second Recent Advances in Quantitative Remote Sensing, J.A. Sobrino (Ed.), ISBN: 84-370-6533-X ; 978-84-370-6533-5, Publicacions de la Universitat de Valencia, Spain.
59. 2006. A .J. Berjón, V.E. Cachorro, P.J. Zarco-Tejada, A.M. Frutos, S. Mogo, Monitoring Vegetation using QuickBird data with a Vegetation Index through Radiative Transfer Simulation, In Second Recent Advances in Quantitative Remote Sensing, J.A. Sobrino (Ed.), ISBN: 84-370-6533-X ; 978-84-370-6533-5, Publicacions de la Universitat de Valencia, Spain.
58. 2006. Sepulcre-Cantó, G., Zarco-Tejada, P.J., Jiménez-Muñoz, J.C., Sobrino, J.A., Vega, V., Pastor, M., Soriano, M.A., Fereres, E., Monitoring Water Stress as an Indicator of Fruit Quality in Olive and Peach Orchards using Thermal Remote Sensing Imagery, In Second Recent Advances in Quantitative Remote Sensing, J.A. Sobrino (Ed.), ISBN: 84-370-6533-X ; 978-84-370-6533-5, Publicacions de la Universitat de Valencia, Spain.
57. 2006. I. Moorthy, J.R. Miller, J.A. Jiménez-Berni, B. Hu, P.J. Zarco-Tejada, Radiative transfer modelling of open-canopy tree crops using hyperspectral imagery and LiDAR, In Second Recent Advances in Quantitative Remote Sensing, J.A. Sobrino (Ed.), ISBN: 84-370-6533-X; 978-84-370-6533-5, Publicacions de la Universitat de Valencia, Spain.
56. 2006. M .L. Whiting, S.L. Ustin, P.J. Zarco-Tejada, A. Palacios-Orueta, Hyperspectral mapping of crop and soils for precision agriculture, Proceedings of the International Society for Optical Engineering (SPIE), 13-17 August 2006, San Diego, California, USA.
55. 2006. P. Kempeneers, S. De Backer, P.J. Zarco-Tejada, S. Delalieux, G. Sepulcre-Cantó, F. Morales, J. van Aardt, P. Coppin, P. Scheunders, Stress detection in orchards with hyperspectral remote sensing data, Proceedings of the International Society for Optical Engineering (SPIE), 13-17 August 2006, San Diego, California, USA.
54. 2006. Y-B Cheng, D. Riaño, P.J. Zarco-Tejada, S.L. Ustin, Canopy water content estimates with AVIRIS imagery and MODIS reflectance products, Proceedings of the International Society for Optical Engineering (SPIE), 13-17 August 2006, San Diego, California, USA.
53. 2006. S. Jacquemoud, W. Verhoef, F. Baret, P.J. Zarco-Tejada, G.P. Asner, C. François, S.L. Ustin,PROSPECT+SAIL: 15 Years of Use for Land Surface Characterization, International Geoscience and Remote Sensing Symposium, IGARSS’06, ISBN: 0-7803-9510-7, Denver (CO), USA, July 2006.
52. 2006. J.R. Miller, P.J. Zarco-Tejada, D. Haboudane, W. Verhoef, S. Jacquemoud, A. Gitelson, I. Moorthy, H. Bach, D. Riaño, G. Schaepman-Strub, E. Chuvieco, Retrieval of Biophysical/Structural Canopy Properties: An evolving synthesis of imaging spectrometry data and models, IGARSS’06, ISBN: 0-7803-9510-7, Denver (CO), USA, July 2006.
51. 2006. S.L. Ustin, G.P. Asner, J.A. Gamon, S. Jacquemoud, S. Ollinger, M. Schaepman, P.J. Zarco-Tejada, Retrieval of Quantitative and Qualitative Information about Plant Pigment Systems from High Resolution Spectroscopy, IGARSS’06, ISBN: 0-7803-9510-7, Denver (CO), USA, July 2006.
50. 2005. Zarco-Tejada, P.J., G. Sepulcre-Cantó, O. Pérez-Priego, J.A. Sobrino, J.C. Jiménez-Muñoz, A. Berjón, P. Martín, R. González, Water Stress and Fluorescence Detection in Crop Canopies with AHS Thermal Imagery: simulations with FluorMOD, Airborne Imaging Spectroscopy Workshop, Bruges, Belgium, 7/10/2005.
49. 2005. Zarco-Tejada, P.J., J. Minas, J.A. Gómez, M.A. Soriano, F.J. Villalobos, E. Fereres, Spatial Variability of Biophysical Parameters in Olive Orchards using High-Spatial Resolution Remote Sensing Imagery, International Conference on Remote Sensing and Geoinformation Processing in the Assessment and Monitoring of Land Degradation and Desertification (RGLDD), Trier (Germany), 7-9/09/2005.
48. 2005. Riaño, D., M.A. Patricio, P.J. Zarco-Tejada, C. Rueda, L. Usero, S.L. Ustin, Estimation of equivalent water thickness using radial basis function neural networks, International Conference on Remote Sensing and Geoinformation Processing in the Assessment and Monitoring of Land Degradation and Desertification (RGLDD), Trier (Germany), 7-9/09/2005.
47. 2005. Darling, D., M.L. Whiting, P.J. Zarco-Tejada, S.L. Ustin, Spectral response from Acala cotton varieties to defoliation, Fourteen Annual Airborne Earth Science and Application Workshop, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California (USA), 24-27/05/2005.
46. 2005. Zarco-Tejada, P.J., Stress Detection in Tree Crops with Hyperspectral Remote Sensing and Physical Simulation Models, 11th California GIS Conference – CALGIS, Bakersfield, California (USA), 16-18/03/2005.
45. 2005. Sepulcre-Cantó, G., P.J. Zarco-Tejada, J.A. Sobrino, J.C. Jiménez-Muñoz, F.J. Villalobos, Spatial variability of crop water stress in an olive grove with high-spatial thermal remote sensing imagery, 5th European Conference on Precision Agriculture (5ECPA), Precision Agriculture ’05 – J.V. Stafford (Ed.), Wageningen Academic Publishers, ISBN: 9076998698, 1005 pp., pp. 267-272, Upsala (Sweden), 9-12/6/2005.
44. 2005. Bravo, C., Zarco-Tejada, P.J., Giráldez, J.V, Agüera, J., Pérez, M., Gil, J., R. Ordóñez, P. González, Spatial Relationship between Cotton Yield Variability, Remote Sensing Imagery and some Physical and Chemical Soil Properties, 5th European Conference on Precision Agriculture (5ECPA), Book of Abstracts 5 ECPA – 2 ECPLF, Swedish Institute of Agricultural and Environmental Engineering, ISBN: 91-7072-141-6, 337 pp., pp. 53-55, Upsala (Sweden), 9-12/6/2005.
43. 2004. Zarco-Tejada, P.J., J.R. Miller, R. Pedrós, W. Verhoef, M. Berger, FluorMODgui: A Graphic User Interface for the Spectral Simulation of Leaf and Canopy Fluorescence Effects, 2nd International Workshop on Remote Sensing of Vegetation Fluorescence, 17-19 Nov. 2004, Montreal, Canada.
42. 2004. Zarco-Tejada, P.J., O. Pérez-Priego, G. Sepulcre-Cantó, J.R. Miller, E. Fereres, Chlorophyll Fluorescence Detection with a High-Spectral Resolution Spectrometer through in-filling of the O2-A band as function of Water Stress in Olive Trees, 2nd International Workshop on Remote Sensing of Vegetation Fluorescence, 17-19 Nov. 2004, Montreal, Canada.
41. 2004. Miller, J.R., M. Berger, S. Jacquemoud, J. Moreno, G. Mohammed, I. Moya, S. Pedrós, W. Verhoef, P.J. Zarco-Tejada, L. Alonso, Y. Goulas, J. Louis, Overview of FluorMOD: A Project to Develop an Integrated Leaf-Canopy Fluorescence Simulation Model, 2nd International Workshop on Remote Sensing of Vegetation Fluorescence, 17-19 Nov. 2004, Montreal, Canada.
40. 2004. Zarco-Tejada, P.J., A. Berjón, J.R. Miller, Stress Detection in Crops with Hyperspectral Remote Sensing and Physical Simulation Models, Airborne Imaging Spectroscopy Workshop, 8 October 2004 – Bruges, Belgium.
39. 2004. R.R. Root, P.J. Zanco-Tejada, C. Pinilla, S.L. Ustin, R.F. Kokaly, G.L. Anderson, S.N. Hager, The use of Earth Observing-1 Hyperion data for mapping of leafy spurge, TEAM Leafy Spurge Symposium, Society for Range Management (SRM), 57th Annual Meeting January 24-30, 2004 Salt Lake City, Utah.
38. 2004. Moorthy, I., Miller, J.R., Zarco-Tejada, P.J., Noland, T.L., Needle Chlorophyll Content Estimation: A Comparative Study of PROSPECT and LIBERTY, International Geoscience and Remote Sensing Symposium, IGARSS’03, ISBN 0-7803-7929-2 – 0-7803-7930-6, pp. 1676-1678 vol. 3, Toulouse (France), 21-25/7/2004.
37. 2004. Moorthy, I., Miller, J.R., Noland, T.L., Nielsen, U., Zarco-Tejada, P.J., Needle Chlorophyll Content Estimation of Boreal Conifers using Hyperspectral Remote Sensing, International Geoscience and Remote Sensing Symposium, IGARSS’03, ISBN 0-7803-7929-2 – 0-7803-7930-6, Toulouse (France), 21-25/7/2004.
36. 2004. Berjón, A.J., V.E. Cachorro, P.J. Zarco-Tejada, A.M. De Frutos, P. Martín, Estimation of Leaf Area Index and chlorophyll content in barley by inversion of radiative transfer models at different growth stages, International Geoscience and Remote Sensing Symposium, IGARSS’03, pp. 601- 603 Vol.1, ISBN 0-7803-7929-2 – 0-7803-7930-6, Toulouse (France), 21-25/7/2004.
35. 2004. Zarco-Tejada, P.J., Miller, J.R., Haboudane, D., Tremblay, N., Apostol, S., Detection of chlorophyll fluorescence in vegetation from airborne hyperspectral CASI imagery in the red edge spectral region, International Geoscience and Remote Sensing Symposium, IGARSS’03, pp. 598- 600 Vol.1, ISBN 0-7803-7929-2 – 0-7803-7930-6, Toulouse (France), 21-25/7/2004.
34. 2004. Miller, J.R., Berger, M., Alonso, L., Cerovic, Z., Goulas, Y., Jacquemoud, S., Louis, J., Mohammed, G., Moya, I., Pedros, R., Moreno, J.F., Verhoef, W., Zarco-Tejada, P.J., Progress on the development of an integrated canopy fluorescence model, International Geoscience and Remote Sensing Symposium, IGARSS’03, pp. 601-603 Vol.1, ISBN 0-7803-7929-2 – 0-7803-7930-6, Toulouse (France), 21-25/7/2004.
33. 2003. B. Hu, J.R. Miller, P.J. Zarco-Tejada, J. Freemantle, H. Zwick, MERIS AO # 516 – Land Cover Mapping at BOREAS Study Area, Working meeting on MERIS and AATSR Calibration and Geophysical Validation (MAVT-2003), European Space Agency (ESA), Frascati (Italy), 20-24/10/2003.
32. 2003. Zarco-Tejada, P.J., A. Berjón, A. Morales, J.R. Miller, J. Agüera, V. Cachorro, A.J. Rodríguez, P. Martín, R. González, A. de Frutos, Leaf Biochemistry Estimation on EU High-Value Crops with ROSIS and DAIS Hyperspectral Data and Radiative Transfer Simulation, 3rd EARSeL WORKSHOP on IMAGING SPECTROSCOPY, pp. 597-602, Munich, Germany, 13-16 May 2003. ISBN 2-908885-26-3.
31. 2003. Zarco-Tejada, P.J., A. Berjón, A. Morales, V. Cachorro, J. Agüera, J.R. Miller, A.J. Rodríguez, P. Martín, A. de Frutos, Estimation of leaf and canopy variables on EU high-value crops with hyperspectral remote sensing and 3-D models: integration of methods with precision agriculture, 4th European Conference on Precision Agriculture, 4th ECPA, Berlin, June 15-19th, 2003.
30. 2003. T.L. Noland, J.R. Miller, P.J. Zarco-Tejada, I. Moorthy, C. Panigada, G.H. Mohammed, P.H. Sampson,Bioindicators of Forest Sustainability: Using Remote Sensing to Monitor Forest Condition, XII World Forestry Congress, Quebec, Canada, 21-28th September, 2003.
29. 2002. Haboudane, D., Miller, J.R., Pattey, E., Zarco-Tejada, P.J., Strachan, I., Effects of Chlorophyll Concentration on Green LAI prediction in Crop Canopies: Modelling and Assessment, In Proceedings of the First International Sysmposium on Recent Advances in Quantitative Remote Sensing, Valencia, Spain, 16-20 September, 2002.
28. 2002. Zarco-Tejada, P.J., Ustin, S.L., Estimation of Vegetation Water Content with MODIS data and Radiative Transfer Simulation, In Proceedings of the First International Sysmposium on Recent Advances in Quantitative Remote Sensing, Valencia, Spain, 16-20 September, 2002.
27. 2002. Miller, J., Moreno, J., Zarco-Tejada, P.J., Alonso, L., Haboudane, D., Leaf Pigment retrievals from DAISEX data for crops at BARRAX: Effects of sun-angle and view-angle on inversion results, In Proceedings of the First International Sysmposium on Recent Advances in Quantitative Remote Sensing, Valencia, Spain, 16-20 September, 2002.
26. 2002. Zarco-Tejada, P.J., Haboudane, D., Miller, J.R., Tremblay, N, Dextraze, L, Leaf Chlorophyll a+b and canopy LAI estimation in crops using R-T models and Hyperspectral Reflectance Imagery, In Proceedings of the VII Congress of the European Society for Agronomy, Cordoba, Spain, 15-18th July, 2002.
25. 2002. Pierce, J., Diaz-Barrios, M., Pinzon, J., Ustin, S.L., Shih, P., Tournois, S., Zarco-Tejada, P.J., Vanderbilt, V.C., Perry, G.L., Using Support Vector Machines to automatically extract open water signatures from POLDER multi-angle data over Boreal regions, In Proceedings of the IEEE 2002 International Geoscience and Remote Sensing Symposium, IGARSS’02, Toronto, Canada, 24-28th June, 2002.
24. 2002. P.J. Zarco-Tejada, J.R. Miller, G.H. Mohammed, Chlorophyll Fluorescence Effects on Leaf and Canopy Reflectance: Experimental Results and Model Simulation, R.A. Harris (Ed.), In Proceedings of the FLEX Workshop, European Space Agency (ESA), 19-20 June 2002, ESTEC, Noordiwijk, The Netherlands. ISBN 92-9092-837-9, ISSN 1609-042X.
23. 2002. Root, R., Ustin, S.L., Zarco-Tejada, P.J., Pinilla, C., Kokaly, R., Anderson, G., Brown, K., Dudek, K., Hager, S., Holroyd, E., Comparison of AVIRIS and EO-1 Hyperion for Classification and Mapping of Invasive Leafy Spurge in Theodore Roosevelt National Park, Presented at the 2002 AVIRIS Workshop, JPL-NASA, Pasadena, California, March 5-8th, 2002.
22. 2001. Zarco-Tejada, P.J., Miller, J.R., Minimization of Shadow Effects in Forest Canopies for Chlorophyll Content estimation using Red Edge Optical Indices through Radiative Transfer: Implications for MERIS, In Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium, IGARSS’01, Sydney, Australia, 9th-13th July, 2001.
21. 2001. Zarco-Tejada, P.J., Ustin, S.L., Modeling Canopy Water content for Carbon estimates from MODIS data at Land EOS Validation sites, In Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium, IGARSS’01, Sydney, Australia, 9th-13th July, 2001.
20. 2001. Zarco-Tejada, P.J., Miller, J.R., Hu, B, Harron, J., Noland, T.L., Mohammed, G.H., Sampson, P.H.,Chlorophyll a+b content estimation through turbid-medium and Monte-Carlo RT model inversion for Forest Canopies using Hyperspectral Data, Presented at the 2001 AVIRIS Workshop, JPL-NASA, Pasadena, California, Feb. 27th – March 2nd, 2001.
19. 2001. Ustin, S.L., Zarco-Tejada, P.J., Asner, G., The Role of Hyperspectral data in understanding the Global Carbon Cycle, Presented at the 2001 AVIRIS Workshop, JPL-NASA, Pasadena, California, Feb. 27th – March 2nd, 2001.
18. 2002. Ustin, S.L., Whiting, M., Zarco-Tejada, P.J., Greenberg, J., Developing Precision Farming Maps using Crop and Soil Models, Presented at AG20/20 Conference, Florida, USA, January, 2002.
17. 2001. Haboudane, D., Miller, J.R., Tremblay, N., Zarco-Tejada, P.J., Dextrase, L., Heterogeneity of CASI-estimated Chlorophyll Content: Assessment and Comparison with Ground Truth from L’ACADIE GEOIDE Experimental Site, Presented at the 23rd Canadian Symposium on Remote Sensing, Laval, Quebec (Canada), August 20th-24th, 2001.
16. 2001. Sampson, P.H., Zarco-Tejada, P.J., Mohammed, G.H., Miller, J.R., Noland, T.L., Treitz, P.M., From leaf to canopy: estimation of chlorophyll content using remote sensing to monitor forest conditions, Presented at the Third North American Forest Ecology Workshop, Duluth, Minnesota (USA), 24th-27th June, 2001.
15. 2001. Haboudane, D., Miller, J.R., Tremblay, N., Zarco-Tejada, P.J., Combining hyperspectral vegetation indices for a better estimation of crop chlorophyll content for application to precision agriculture, Presented at the International Symposium of Spectral Sensing Research (ISSSR), Quebec (Canada), June 10th-15th, 2001.
14. 2001. Hu, B., Miller, J.R., Goel, N.S., Zarco-Tejada, P.J., Effects of canopy LAI, crown coverage, and view angle on retrieval of leaf chlorophyll content in forest canopies, Presented at the International Symposium of Spectral Sensing Research (ISSSR), Quebec (Canada), June 10th-15th, 2001.
13. 2001. Strachan, I.B., Pattey, E., Miller, J.R., Zarco-Tejada, P.J., Haboudane, D., McLaughlin, B., Evaluation of hyperspectral stress indicators using ground and airborne platforms over soybean, Presented at the 97th Annual Meeting of the AAG-New York, Feb. 27th-Mar. 3rd, 2001.
12. 2000. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland, Simulation of Radiative Transfer in a single leaf: Estimation of Chlorophyll Fluorescence measures by inversion of a coupled FRT and PROSPECT model, Presented at the Remote Sensing 2000 Conference: From Laboratory Spectroscopy to Remotely Sensed Spectral Observation, Corpus Christi, Texas (USA), October 22-25th, 2000.
11. 2000. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland, P.H. Sampson, Estimation of Chlorophyll Fluorescence under Natural Illumination from Hyperspectral Data, Presented at the Second EARSeL Workshop on Imaging Spectroscopy, Enschede (Holland), 11th-13th July 2000.
10. 2000. T.L. Noland, P.J. Zarco-Tejada, J.R. Miller, G.H. Mohammed, P.H. Sampson, D. Irving, P. Treitz,Bioindicators of Forest Sustainability: Validation of a physiological remote sensing approach, Presented at the Ice Storm Research Conference, Sault Ste. Marie (ON), Canada, October 2000.
9. 2000. G.H. Mohammed, T.L. Noland, D. Irving, P.H. Sampson, P.J. Zarco-Tejada, J.R. Miller, Natural and stress-induced effects on leaf spectral reflectance in Ontario species, Ontario Ministry of Natural Resources (OMNR), Ontario Forest Research Institute (OFRI).
8. 2000. T.L. Noland, P.J. Zarco-Tejada, J.R. Miller, G.H. Mohammed, P.H. Sampson, S.J. Colombo, D. Irving, P. Treitz, J. Freemantle, Bioindicators of Sustainable Forestry: Scaling up physiological indicators using remote sensing, Presented at the Forest Sustainability Beyond 2000 Conference, Sault Ste. Marie, ON, Canada, May 14-18, 2000.
7. 1999. T.L. Noland, P.J. Zarco-Tejada, J.R. Miller, G.H. Mohammed, P. Sampson, Detection of Sugar Maple Condition Using Ground-Based Indicators and Hyperspectral Remote Sensing , Presented at the Fourth International Airborne Remote Sensing Conference, Ottawa (ON), Canada, June 21-24, 1999.
6. 1999. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland, P.H. Sampson, Canopy Optical Indices from Infinite Reflectance and Canopy Reflectance Models for Forest Condition Monitoring: Application to Hyperspectral CASI data, Presented at the IEEE IGARSS’99, Hamburg (Germany), 28th June – 2nd July 1999. Tammy I. Stein (Ed.), ISBN: 0-7803-5207-6.
5. 2000. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland, P.H. Sampson, Optical Indices as Bioindicators of Forest Condition from Hyperspectral CASI data, In Remote Sensing in the 21st Century: Economic and Environmental Applications, Proceedings of the 19th EARSeL Symposium on Remote Sensing in the 21st Century, Valladolid (Spain), 31st May – 2nd June, 1999, Casanova (Ed.), Balkema, Rotterdam, ISBN 9058090965, pp. 517-522.
4. 1999. Treitz, P., J.R. Miller, G. Mohammed, T. Noland, S. Colombo, P.J. Zarco-Tejada, P. Sampson, P. Shepherd, Optical Indices for Estimating Biophysical/Physiological Parameters, Presented at the Annual Meeting of the Canadian Association of Geographers (CAG), Special Session on Remote Sensing, Lethbridge (Canada), June 1999.
3. 1998. Sampson, P.H., G.H. Mohammed, S.J. Colombo, T.L. Noland, J.R. Miller, P.J. Zarco-Tejada. Bioindicators of Forest Sustainability: Progress Report, Ontario Ministry of Natural Resources, Ontario Forest Research Institute, Sault Ste. Marie (On). Forest Research Information Paper No. 142. 18p.
2. 1998. Zarco-Tejada, P.J., Correlations between CO2 fluxes and high spatial resolution reflectance imagery, Revista de Teledetección, 9.
1. 1998. Zarco-Tejada, P.J., J.R. Miller, Land Cover Mapping at BOREAS using red edge spectral parameters from CASI imagery, Poster presented at the “Follow-on BOREAS-NASA Meeting” held in Florida (USA).
Proceedings, Symposia and Non-Refereed Publications in Spanish
30. 2022. Camino, C., Calderón, R., Parnell, S., Dierkes, H., Chemin, Y., Montes-Borrego, M., Román-Écija, M., Landa, B.B., Zarco-Tejada, P.J., Beck, P.S.A., Navas-Cortés, J.A., Detección temprana de la infección por Xylella fastidiosa mediante el uso combinado de imágenes hiperespectrales, térmicas y modelos epidemiológicos, PHYTOMA España , 340 , Junio-Julio 2022.
29. 2018. Calderón, R., Zarco-Tejada, P.J., Navas-Cortés, J.A., Landa, B.B., López-López, M., Detección de enfermedades de cultivos mediante imágenes hiperespectrales y térmicas de alta resolución espacial, Grandes Cultivos, 8 de febrero de 2018.
28. 2017. Ramírez-Cuesta, J.M., Zarco-Tejada, P.J., Testi, L., Lorite, I.J., Rubio-Asensio, J.S., Intrigliolo, D.S., González-Dugo, V., Cuantificación del estrés hídrico de una parcela de melocotonero mediante la integración de CWSI con el modelo de balance de energía METRIC a partir de imágenes térmicas e hiperespectrales de alta resolución espacial, Congreso de la Asociación Española de Teledetección (AET), XVII CONGRESO NACIONAL DE TELEDETECCIÓN – Murcia, 3-7 de octubre de 2017.
27. 2017. Pacheco Labrador, J.L., González Cascón, R., Hernández-Clemente, R., Martín, M.P., Melendo de la Vega, J.R., Zarco Impacto de los tricomas en la aplicación de los modelos de transferencia radiativa en hojas de Quercus ilex , Presented at the 7o Congreso Forestal Español, Plasencia, Cáceres, Extremadura, Spain.
26. 2014. Bellvert, Zarco-Tejada, P.J., Girona, J., Fereres, E. Riego de precisión en viñedos: manejo de la variabilidad mediante la teledetección térmica , Diciembre 2014.
25. 2014. Monterroso, A. y Zarco-Tejada P.J., La vía romana de Corduba a Emerita a su paso por el Alto Guadiato (Término de Belmez). Detección geográfica y teledetección aérea, Jornadas sobre la Bética en tiempos de Augusto: Aspectos históricos y arqueológicos, Museo Arqueológico de Córdoba, 09 – 10 de Noviembre, Córdoba, España.
24. 2013. Bellvert J., Zarco-Tejada P.J., Girona J., Fereres E., La teledeteccion como herramienta para el manejo del riego en viñedos., TIERRAS. 206, 56-61.
23. 2013. Calderón, R., Navas-Cortés, J.A., Lucena, C., Zarco-Tejada, P.J., Teledetección aerotransportada hiperespectral y térmica de alta resolución para la detección temprana de Verticilosis en olivar usando fluorescencia, temperatura e índices espectrales., INTA, XV Congreso de la Asociación Española de Teledetección, Octubre 22 – 24, 2013, Madrid, Spain.
22. 2013. Hernández-Clemente, R., Navarro-Cerrillo, R.M., Zarco-Tejada., Índices de vegetación para la cuantificación de pigmentos en bosque de coníferas a partir de información hiperespectral, CAET 2013. XV Congreso de la Asociación Española de Teledetección, October 22 – 23, 2013, Madrid, Spain.
21. 2011. Rodriguez Gonzalez, J., Zarco-Tejada, P.J., Gómez, A.A., Cuantificación de la rugosidad del suelo mediante medidas diurnas de reflectancia multiespectral de alta resolución espacial obtenidas con un vehiculo aéreo no tripulado, XIV Congreso de la Asociación Española de Teledetección (AET) , 21 – 23 Septiembre, 2011, Mieres del Camino ,Asturias.
20. 2011. Hernández-Clemente, R., Navarro-Cerrillo, R.M., Zarco-Tejada, P.J., Suárez, L., Frieyro J.E. y Hayas A. Estimación del índice de área foliar y concentración foliar en masas repobladas de Pinus sylvestris y Pinus nigra, oral , CAET 2011. XIV Congreso de la Asociación Española de Teledetección Principado de Asturias, September 7 – 10, 2011, Asturias, Spain.
19. 2011. Hernández-Clemente, R., Navarro-Cerrillo, R.M., Zarco-Tejada, P.J., Suárez, L., Frieyro J.E. y Hayas A. Detección temprana de estrés en coníferas a partir del índice de reflectancia fotoquímico (PRI) e imágenes térmicas de alta resolución, oral , CAET 2011. XIV Congreso de la Asociación Española de Teledetección Principado de Asturias, September 7–10, 2011, Asturias, Spain.
18. 2010. Guillén-Climent, M.L., Zarco-Tejada, P.J., Utilización de técnicas de teledetección para elaborar mapas de calidad en viñedos afectados por clorosis férrica, Revista “Tierras”, 173: 130-133. Paper.
17. 2010. Guillén-Climent, M.L., Zarco-Tejada, P.J., Berni, J.A.J., Villalobos, F.J., Validacion de un modelo 3D para la estimacion de radiacion interceptada en cubiertas heterogeneas mediante imagenes de alta resolucion espacial, Revista de Teledetección (ISSN: 1988-8740. 2010. 33: 92-100).
16. 2009. Berni, J.A.J., Zarco-Tejada, P.J., Sepulcre-Cantó, G., Fereres, E., Villalobos, F.J., Estimación de la conductancia estomática y detección de estrés hídrico en vegetación mediante imágenes térmicas de alta resolución espacial obtenidas con un Vehículo Aéreo no Tripulado (UAV), XIII Congreso de la Asociación Española de Teledetección, September 23-26, 2009, Calatayud, Spain. ISBN: 978-84-613-4257-0, pp 25-28.
15. 2009. Guillén-Climent, M.L., Zarco-Tejada, P.J., Berni, J.A.J., Villalobos, F.J. Validación de un modelo 3D para la estimación de radiación interceptada en cubiertas heterogéneas mediante imágenes de alta resolución espacial, XIII Congreso de la Asociación Española de Teledetección, September 23 – 26, 2009, Calatayud, Spain. ISBN: 978-84-613-4257-0, pp 429-432.
14. 2009. Suárez, L., Zarco-Tejada, P.J., González-Dugo, V., Berni, J.A.J., Fereres, E. Detección de estrés hídrico y calidad de fruto en cultivos mediante el índice PRI a partir de imágenes de alta resolución espacial, XIII Congreso de la Asociación Española de Teledetección, September 23 – 26, 2009, Calatayud, Spain. ISBN: 978-84-613-4257-0, pp 29-32.
13. 2006. P. Martín, M.R. González, R. González, P.J. Zarco-Tejada, A. Alonso, A. Berjón, Relaciones entre la composición mineral de la hoja, el contenido en clorofila y la calidad del mosto en vides cv. Tempranillo afectadas por clorosis férrica, XXIX Congreso Mundial de la Viña y el Vino, OIV, Logroño, Junio 2006.
12. 2006. M .R. González, L.C. Núñez, R. González, P.J. Zarco-Tejada, P. Martín, Efectos de la clorosis férrica sobre la acumulación de antocianos en la uva CV. Tempranillo durante la maduración. XI Simposio Ibérico de Nutrición Mineral de las Plantas, Universidad Pública de Navarra, Pamplona, Julio 2006. In Lamsfus, C. (ed.), Nutrición Mineral. Aspectos fisiológicos y ambientales, Vol II, pp 493-498. ISBN 84-9769-164-4.
11. 2006. A .J. Berjón, V.E. Cachorro, A.M. de Frutos, P.J. Zarco-Tejada. Uso de imagines multiespectrales de alta resolución espacial para la obtención del Índice de Área Foliar en cultivos, VIII Reunión Nacional de Óptica. Alicante, 18/22 Septiembre 2006.
10. 2005. Sepulcre-Cantó, G., P.J. Zarco-Tejada, J.C. Jiménez-Muñoz, J.A. Sobrino, E. de Miguel, J. Díaz, Detección de Estrés Hídrico en Olivar mediante datos Hiperespectrales y Térmicos del sensor AHS, XI Congreso Nacional de Teledetección, Teledetección, Avances en la Observación de la Tierra, M. Arbelo, A. González, J.C. Pérez (Eds.), ISBN: 84-609-6894-4, pág.: 53-56, Tenerife, 21-23/9/2005.
9. 2005. Gil Pérez, B., P.J. Zarco-Tejada, A.C. Guimaraes, M. J. de Sousa, S. Hernández Navarro, Alvarez-Martínez, J. Velloso, J. Martín-Gil, Aplicación de técnicas de teledetección hiperespectral en viñedo fertilizado con extracto de algas, Simposio Internacional de Ingeniería Rural, Palencia (España), 21-23/6/2005.
8. 2005. Usero, L., Patricio, M.A., Riaño, D., Zarco-Tejada, P.J., Ustin, S.L., Estimación del contenido de agua del combustible mediante el uso de redes neuronales artificiales, Simposio de Inteligencia Computacional, SICO 2005, Actas del Simposio de Inteligencia Computacional, SICO 2005, IEEE Computational Intelligence Society, SC, ISBN: 84-9732-444-7, pág.: 423-430, Granada (España), 15-16/9/2005.
7. 2005. da Gama Minas, J., P.J. Zarco-Tejada, J.A. Gómez, A. Soriano, Estimación de Variables Biofísicas en Olivar mediante Métodos de Teledetección por Satélite y Sensores Aerotransportados para su Integración en Agricultura de Precisión, V Congreso Ibérico de Ciencias Hortícolas, Actas Portuguesas de Horticultura, Vol. 2, Asociación Portuguesa de CC. Hortícolas (Ed.), Lisboa, ISBN: 972-95881-9-8, pp. 550-555, Oporto (Portugal), 22-27/05/2005.
6. 2005. Martín, P., L.C. Núñez, M.R. González, P.J. Zarco-Tejada, A. Alonso, Corrección de la clorosis férrica del viñedo mediante lignosulfonato de hierro: influencia en el rendimiento, vigor y composición de la uva, VIII Jornadas de los Grupos de Investigación Enológica, Actas de las VIII Jornadas de los Grupos de Investigación Enológica, pág.: 13-15, Palencia (España), 1-3/62005.
5. 2005. González, R., Núñez, L.C., Martín, P., Berjón, A., Zarco-Tejada, P.J., Estimación de la absorbancia de radiación par en hojas de vid a partir de su contenido en clorofila, V Congreso Ibérico de Ciencias Hortícolas, Actas Portuguesas de Horticultura, Vol. 2, Asociación Portuguesa de CC. Hortícolas (Ed.), Lisboa, ISBN: 972-95881-9-8, PP. 384-389, Oporto (Portugal), 22-27/05/2005.
4. 2005. González, M.R., Nuñez, L.C., González, R., Zarco-Tejada, P.J., Martín, P., Diagnóstico foliar de la Clorosis Férrica del Viñedo en la D.O. ‘Ribera Del Duero’, Jornadas de Fertilización de la Sociedad Española de Ciencias Hortícolas (SECH), Sistema de Recomendación de Abonado, C. Ramos, I. Bautista, R.M. Belda, J.M. Paz, J. Doltra, F. Legaz, F. Pomares (Eds), ISBN: 84-9705-873-9, pág.: 40-47, Valencia (España), 4-6/10/2005.
3. 2001. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland, P.H. Sampson, Estimación del contenido clorofílico en coberturas con estructura caducifolia y conífera mediante inversión de modelos de Transferencia Radiativa y datos Hiperespectrales, Presented at the IX Congreso Nacional de Teledetección, Asociación Espanola de Teledetección, Lerida (Spain), 19-21th September, 2001.
2. 2000. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland, P.H. Sampson, Utilización de modelos de reflectancia como nexo entre muestras foliares y la cobertura forestal: aplicación a datos hiperespectrales, Revista de Teledetección, 12, pp. 21-32, Enero 2000.
1. 1999. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland, P.H. Sampson, Indices Opticos obtenidos mediante datos Hiperspectrales del sensor CASI como Indicadores de Estres en Zonas Forestales, Presented at the VIII Congreso Nacional de Teledetección, Asociación Espanola de Teledetección, Albacete (Spain), 22-24th September, 1999.
Proceedings, Symposia and Non-Refereed Publications in French
1. 2003. Haboudane, D., Pattey, E., Miller, J.R., Zarco-Tejada, P.J., et Strachan, I., Effet de la teneur en chlorophylle sur l’estimation de l’indice de surface foliaire verte : Modèlisation et application en agriculture de prècision, 2e Colloque sur la gèomatique agricole et l’agriculture de prècision, St-Hyacinthe, Quebec, Canada, 11-12 fevrier 2003, p.: 161.
Here you will find information and news related to the HyperSens activities.
- Prof. Pablo Zarco-Tejada, was named once again to the Clarivate annual global list of Highly Cited Researchersin the Cross-Field category of 2023 list published by Clarivate Analytics!
- Pablo J. Zarco-Tejada, keynote speaker at the ISPP/ICPP in Lyon, France
Pablo J. Zarco-Tejada gave a keynote address at the 12th International Congress of Plant Pathology (ICPP) in Lyon,France last month on How to combine remote sensing with epidemiological modelling to improve plant disease management, and at the EFSA Workshop on Xylella fastidiosa detection using remote sensing. The University of Melbourne is one of the official partners and WP Co-Leader of the European project BeXyl: Beyond Xylella focused on the development of methods to detect and eradicate the Xylella fastidiosa bacteria, the number one threat for Australian agriculture.
- Prof. Pablo Zarco-Tejada, once again, among the most cited researchers in the world, as reflected in the list of Highly Cited Researchers of 2022 list published by Clarivate Analytics!
- Congratulations to Prof. Pablo Zarco-Tejada for receiving grants from the Australian Research Council (ARC) Discovery Project in 2022!
- Prof. Pablo Zarco-Tejada has once again been recognized as a global scientific pioneer on Clarivate’s Highly Cited Researches of 2021 list, placing him in the top 1% of the world’s researchers with multiple highly cited publications!
- Congratulations to Professor Pablo Zarco-Tejada on being recognized once again as a global scientific pioneer on Clarivate’s Highly Cited Researches of 2020 list.
- We are proud to announce that Professor Pablo Zarco-Tejada has been named on the annual Highly Cited Researches 2019 list from Clarivate.
- An Unmanned Aerial Vehicle (UAV) was used in a project coordinated by HyperSens Lab – University of Melbourne to complete flights carrying hyperspectral and thermal cameras at Mount Langi Ghiran Vineyard on 22 Feb 2019. This campaign was designed to capture very high-resolution hyperspectral and thermal images to monitor vine traits and to determine stress at canopy level. The drone was operated by an expert team from XM2-Industrial. With a fast processing chain method used in this project, the images were processed in less than 24 hours, and the stressed plants were detected on the same day of the flights. This campaign verified the platform’s capability and performance with great success.
Queries?
For more information please contact Prof. Zarco-Tejada at pablo.zarco@unimelb.edu.au
Where to find Us?
FoS: Office 187, Building 142. University of Melbourne, Victoria, Australia.
Map FoS, University of Melbourne
FEIT: Level 6, Melbourne Connect. University of Melbourne, Victoria, Australia.
Map FEIT, University of Melbourne