Estimation of ET and Crop Water Productivity in a Semi-Arid Region Using a Large Aperture Scintillometer and Remote Sensing-Based SETMI Model
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Submission received: 4 January 2024
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Revised: 22 January 2024
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Accepted: 24 January 2024
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Published: 28 January 2024
Abstract
With the increasing water scarcity and the demand for sustainable agriculture, precise estimation of crop evapotranspiration (ET) is crucial for effective irrigation management, crop yield assessment, and equitable water distribution, particularly in semi-arid regions. In this study, a large aperture scintillometer (LAS) was used to validate the remote sensing-based ET model SETMI (Spatial Evapotranspiration Modeling Interface) in an irrigated maize-wheat cropping system in a semi-arid region at the ICAR-Indian Agricultural Research Institute, New Delhi. Results obtained by the SETMI model depicted modeled surface energy fluxes compared well with LAS field data, showing a very high R2 (0.83–0.95) and NRMSE (8–29%). The SETMI model performed better in the case of the maize crop than the wheat crop in field experiments. Further, the SETMI model was employed at the regional level using high-resolution Sentinel-2 to estimate the regional water productivity of wheat crops over a semi-arid region in India. The estimated regional, seasonal wheat actual ET mainly ranged between 101 mm and 325 mm. The regional wheat water productivity varied from 0.9 kg m−3 to 2.20 kg m−3. Our research reveals that the SETMI model can give reliable estimates of regional wheat water productivity by examining its spatial and temporal fluctuations and facilitating the creation of regional benchmark values.
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MDPI and ACS Style
Singh, P.; Sehgal, V.K.; Dhakar, R.; Neale, C.M.U.; Goncalves, I.Z.; Rani, A.; Jha, P.K.; Das, D.K.; Mukherjee, J.; Khanna, M.;
et al. Estimation of ET and Crop Water Productivity in a Semi-Arid Region Using a Large Aperture Scintillometer and Remote Sensing-Based SETMI Model. Water 2024, 16, 422.
https://doi.org/10.3390/w16030422
Singh P, Sehgal VK, Dhakar R, Neale CMU, Goncalves IZ, Rani A, Jha PK, Das DK, Mukherjee J, Khanna M,
et al. Estimation of ET and Crop Water Productivity in a Semi-Arid Region Using a Large Aperture Scintillometer and Remote Sensing-Based SETMI Model. Water. 2024; 16(3):422.
https://doi.org/10.3390/w16030422
Chicago/Turabian Style
Singh, Pragya, Vinay Kumar Sehgal, Rajkumar Dhakar, Christopher M. U. Neale, Ivo Zution Goncalves, Alka Rani, Prakash Kumar Jha, Deb Kumar Das, Joydeep Mukherjee, Manoj Khanna,
and et al. 2024. “Estimation of ET and Crop Water Productivity in a Semi-Arid Region Using a Large Aperture Scintillometer and Remote Sensing-Based SETMI Model” Water 16, no. 3: 422.
https://doi.org/10.3390/w16030422
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