Remote sensing-based Crop evapotranspiration can help and provide guidance for crop water management. This paper quantified crop water requirement and crop water stress for soybean according to vegetation cover and land surface changes in the semi-arid region using remote sensing data. In this regard, MODIS products of land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) were used to estimate crop coefficient (Kc) and crop water stress index (CWSI) for period of 2016-17. The FAO-Penman- Monteith (FPM) model was employed to compute reference evapotranspiration (ETo). Lysimeter crop data were collected IARI, New Delhi to evaluate performance of remote sensed crop evapotranspiration (ETc). The performance evaluation results viz. MBE, RMSE and MPE were found 0.44mm, 0.66mm and 25.15% respectively. A linear relation between lysimeter and remote sensed crop coefficient were established correlation coefficient as high as 0.86. Crop water requirement during crop growing period were 304.40mm and 349.50mm by remote sensing and lysimeter respectively. Crop was not suffering from water stress during initial to mid-stage, however, increasing trend was found at late-stage. It can be inferred that ETc and CWSI developed from remotely sensed indices are a useful tool for quantifying crop water consumption at regional and field scales.