This study was designed to develop accurate spatial thermal and vegetative indices maps of corn field and derive precise crop water stress index using thermal imagery. UAV (Matrice 100) mounted, FLIR Vue Pro thermal imaging camera and MicaSense Rededge multispectral camera were used to collect aerial imagery over a corn field divided into different irrigation levels. Weather data such as ambient air temperature, relative humidity, solar radiation, wind speed were also recorded to establish crop water stress baselines. The collected images were stitched and converted into orthomosaics using Agisoft. Canopy temperature, crop water stress index (CWSI), NDVI and NDRE maps were generated from orthomosaics using Arc map. The real time ground data in terms of soil moisture, crop canopy temperature and leaf water potential was also collected. Results showed that imagery based crop water stress was strongly co-related with different vegetative indices and real-time ground data.
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