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13 June 2023 Quantifying precise and high spatial resolution crop water stress using UAV-based thermal infrared and multispectral imagery (Conference Presentation)
Manoj Gadhwal, Ajay Sharda
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Proceedings Volume PC12539, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VIII; PC1253906 (2023) https://doi.org/10.1117/12.2663419
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States
Abstract
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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Manoj Gadhwal and Ajay Sharda "Quantifying precise and high spatial resolution crop water stress using UAV-based thermal infrared and multispectral imagery (Conference Presentation)", Proc. SPIE PC12539, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VIII, PC1253906 (13 June 2023); https://doi.org/10.1117/12.2663419
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KEYWORDS
Thermography
Infrared imaging
Infrared radiation
Multispectral imaging
Spatial resolution
Near infrared
Cameras
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