Models using remote sensing to estimate evapotranspiration (ET) and water requirements of agricultural crops have been used for monitoring and managing water resources. The objective of this study was to use the SETMI hybrid model through multispectral and thermal imaging to estimate the ET and water requirement of agricultural crops using center pivot irrigation systems through the variable rate irrigation (VRI) for the State of North Dakota in the USA for the years 2021 and 2022. The SETMI model adequately estimated the ET and water requirements in VRI systems, improving irrigation management and the use of water resources.
The Atmosphere-Land Exchange Inverse (ALEXI) a two-source energy balance model was developed to estimate ET. The Visible Infrared Imaging Radiometer Suite (VIIRS) a polar satellite used in this research to provide 375-m resolution compared to other geostationary satellite data which have more than 1 km resolution. VIIRS acquires images of the Globe on daily basis; day/night images. The ALEXI model takes advantage of day/night thermal infrared imaging to produce daily regional ET estimates using a LST differential to retrieve energy balance components between midmorning after sunrise and before noon local time. Daily Evapotranspiration maps were produced with 15o X 15o grid size (Tile). We ran ALEXI for Tile 153, over Brazil for the years 2013-2018. We created a website called Global Daily Evapo-Transpiration (GloDET) where we publish these maps at (https://glodet.nebraska.edu). The ALEXI estimated ET values were compared with ground data from eddy covariance flux towers. ALEXI ET results were extracted at the towers locations for 2013-2016, to serve as comparison for each tower with energy balance closure. The linear correlation was excellent for all sites with R2 between 0.78 - 0.88, for different types of vegetation.
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