Remote Sensing and Precision Agriculture

Exploring agricultural productivity through the use of advanced sensing technologies.

Academic staff

The following staff are available to supervise honours and masters research in the field of Remote Sensing and Precision Agriculture.

Professor Pablo J. Zarco-Tejada

Project topics:

  • Detection of abiotic stress using airborne hyperspectral and thermal remote sensing images
  • Nutrient assessment of crops using radiative transfer models and airborne imaging spectroscopy
  • Water stress detection using high-resolution thermal images
  • Chlorophyll fluorescence quantification using narrow-band hyperspectral imagers and physical models.