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Actual Evapotranspiration Estimation Using Remote Sensing: Comparison of Sebal and Metric Models
Evapotranspiration (ET) is the sum of evaporation from earth’s surface and transpiration from plants to the atmosphere. Accurate quantification of ET is crucial for hydrologic modeling, optimizing crop production, drought monitoring, irrigation management, and overall water resource planning. For monitoring evapotranspiration, remote sensing-based Surface Energy Balance Algorithm for Land (SEBAL) and Mapping Evapotranspiration (ET) at high Resolution with Internalized Calibration (METRIC) have been applied extensively. However, the complexity of selecting hot and cold pixels has made the operational use of these models challenging. In this study, an automated implementation of these models called Land MOD ET mapper has been tested in two agricultural sites of Bangladesh using Landsat-4-5 TM images, DEM and weather data from the Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2). Merra-2 is a global atmospheric reanalysis produced by the NASA. The evapotranspiration calculated by the SEBAL and METRIC models were compared with the recorded pan evaporation and the Penman–Monteith method. Comparison of the results from the SEBAL and METRIC shows some differences in ET estimation. This is probably due to the differences in calculation of sensible heat and the assumptions of SEBAL and METRIC in extrapolating instantaneous ET to the daily ET. This study demonstrates the considerable potential of SEBAL and METRIC models for estimation of spatiotemporal distribution of ET from Landsat satellite images and Merra-2 weather data for the agricultural regions of Bangladesh.
Actual Evapotranspiration Estimation Using Remote Sensing: Comparison of Sebal and Metric Models
Evapotranspiration (ET) is the sum of evaporation from earth’s surface and transpiration from plants to the atmosphere. Accurate quantification of ET is crucial for hydrologic modeling, optimizing crop production, drought monitoring, irrigation management, and overall water resource planning. For monitoring evapotranspiration, remote sensing-based Surface Energy Balance Algorithm for Land (SEBAL) and Mapping Evapotranspiration (ET) at high Resolution with Internalized Calibration (METRIC) have been applied extensively. However, the complexity of selecting hot and cold pixels has made the operational use of these models challenging. In this study, an automated implementation of these models called Land MOD ET mapper has been tested in two agricultural sites of Bangladesh using Landsat-4-5 TM images, DEM and weather data from the Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2). Merra-2 is a global atmospheric reanalysis produced by the NASA. The evapotranspiration calculated by the SEBAL and METRIC models were compared with the recorded pan evaporation and the Penman–Monteith method. Comparison of the results from the SEBAL and METRIC shows some differences in ET estimation. This is probably due to the differences in calculation of sensible heat and the assumptions of SEBAL and METRIC in extrapolating instantaneous ET to the daily ET. This study demonstrates the considerable potential of SEBAL and METRIC models for estimation of spatiotemporal distribution of ET from Landsat satellite images and Merra-2 weather data for the agricultural regions of Bangladesh.
Actual Evapotranspiration Estimation Using Remote Sensing: Comparison of Sebal and Metric Models
Tarekul Islam, G. M. (editor) / Shampa, Shampa (editor) / Chowdhury, Ahmed Ishtiaque Amin (editor) / Saha, Sumit Kumar (author) / Ahmmed, Rubel (author) / Jahan, Nasreen (author)
Water Management: A View from Multidisciplinary Perspectives ; Chapter: 18 ; 365-383
2022-03-26
19 pages
Article/Chapter (Book)
Electronic Resource
English
Evapotranspiration Estimation Using Remote Sensing Technology Based on SEBAL Algorithm
| Springer Verlag | 2016
| British Library Conference Proceedings | 2009