A Comparative Study of Evapotranspiration Calculated from Remote Sensing and Meteorological Data for Gaya District, India

A study on evapotranspiration for wheat was conducted in the two-year Rabi season crop from November, 2017 to April, 2018 and April 2019 at Gaya District, Bihar. Spatio-temporal information actual (ETa) helps users better understand evaporative depletion establish links between land use, water allocation, use. The Surface Energy Balance Algorithm Land (SEBAL) adopted employing essential adaptations local soil meteorological conditions. AOI images were used retrieve needed of spectral data. results have been compared in-situ measurements CROPWAT Model, Makkink Model (MM) remote sensing SEBAL model. precise uniform assessment reference (ETo) is required due its crucial role estimating needs irrigated agriculture. aim this work estimate (ETc) a semi-arid environment using freely accessible earth observation datasets regionally distributed coefficient (Kc). Based (Kc), models anticipate (ETc). model fared adequately when standard Penman-Monteith (R2=0.88), according statistical tests comparison. Analysis also demonstrates based with R2 = 0.76, respectively. result implies that model-based ETo estimations are very similar. ETc estimated by PM help coefficient. Additionally, validation model’s performed analysis correlation district level production area under two years. outline availability good amount rainfall gives higher yield resulted into more etc.