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Evapotranspiration (ET) is vital process in land surface atmosphere research.In the present study, Surface Energy Balance Algorithm for Land,(SEBAL)for assessment of ET (for ) from LANDSAT7-ETM+ and validation with Lysimeter data set, is illustrated. It is based on the evaporative fraction concept, and it has been applied to LANDSAT7-ETM+ (30 meter resolution) data acquired over the Indian Agricultural Research Institute (IARI) agricultural farm land. The ET from SEBAL comparison with Lysimeter ET by using 4 statistical tests (Root mean square error (RMSE), Relative Root Mean Square Error (R-RMSE), Mean Absolute Error (MAE), and Normalized Root Mean Square Error (NRMSE)) and each test shows good correlation between predicted and observed ET values. Results from present study revealed that the RMSE of crop growing period was 0.51 mm d -1 for ET SEBAL i.e. ET SEBAL having good accuracy with respect to observed ET Lysimeter . Results are also Downloaded by [New York University] at 21:38 31 July 2015 2 validated by using R-RMSE test. Which also proves that ET SEBAL data is having good accuracy with respect to observed ET Lysimeter as R-RMSE of crop growing period is 0.19mm d -1 . MAE (0.19), NRMSE (0.21) and r 2 (0.91) test indicates model prediction is significant and model can be effectively use for estimation of ET from SEBAL as input of remote sensing (RS) data sets. Finally, the SEBAL has been use full to remote agricultural land where ground based data (Lysimeter data) is not available for daily ET (ET 24h ) estimation. The temporal study of the ET 24h values analyzed have revealed that the highest ET 24h values are owing to the higher development (high greenness) of crops, whereas the lower values are related with lower development (low greenness) or null crop.

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