series to map vegetation water use patterns in the data

Continually increasing world population requires additional food production in the face of growing water scarcity. Evapotranspiration from irrigated land, where much of the world’s food is produced, is one of the most useful indicators to explain whether the water is used as “intended ” or not. Remote sensing techniques have been developed and applied for the computation of actual evapotranspiration, mainly within irrigation systems. In this study a Landsat7 image of December 29, 2000 was acquired for a data scarce area with diverse land use in the Krishna Basin in India and actual evapotranspiration (ETa) was computed using the Surface Energy Balance Algorithm for Land (SEBAL). The image occurs approximately 2 months after the end of the monsoon rains, and between the major cropping cycles in the area. SEBAL ETa varies between 0 to 4.7 mm per day over the image, which includes dense urban areas, dry/barren grassland, native vegetation including shrubs and deciduous forests, water bodies, rainfed crops, supplemental groundwater irrigated vegetables/cotton