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