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Assessment of Agricultural Water Use in Uzbekistan using Radiation Balance Method with Radiometric Data MODIS

Mukhamadkhan KhamidovDepartment of Using hydropower and pump stations, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan.Javlonbek IshchanovDepartment of Using hydropower and pump stations, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan.Adham MamatalievTashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan.Shavkat BotirovDepartment of Using hydropower and pump stations, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan.Akhrorkhon KhamidovDepartment of Irrigation and Melioration, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan.I DjumaniyazovS KazievA HamidovJ BeltraoA NevesV KhaydarovaM KhamidovM BudikoAyoub AlmhabB IbrahimW BastiaanssenM MenentiR FeddesA HoltslagW KustasJ NormanC ConradS DechM HafeezJ LamersCh MartiusG StrunzB TischbeinK BlumelG RueckerC SchweitzerD Nazaraliev
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Abstract

The spatial images of agricultural water use in the irrigated lands of Khorezm region, located in the lower reaches of the Amudarya River, were mapped and monitored using the data from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS). Land use categories at the case study areas were classified using a recursive partitioning and regression tree with 250 m MODIS NDVI time series. A seasonal existing evapotranspiration (ET) rate was obtained through application of the Surface Energy Balance Algorithm for Land to 1 km daily in MODIS data. In the Khorezm region, a seasonal maximum values for ET was estimated at 1,000 and 1,200 mm for cotton and rice fields, respectively.

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