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Shaurya Swami

affiliation not provided to SSRN

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A Data-driven Framework for Spatiotemporal Improvement of Actual Evapotranspiration Estimates Using Remote Sensing and In-Situ Flux Tower Data

Number of pages: 33 Posted: 08 May 2026
Ali Dadkhah, Donna M. Rizzo, Paul R. Adler, Arman Ahmadi, Patrick J. Clemins, Matthew W. Myers, George F. Pinder, Shaurya Swami, Asim Zia and Luis A. Garcia
affiliation not provided to SSRN, University of Vermont, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Vermont and affiliation not provided to SSRN
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Abstract:

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Spatiotemporal estimation, Actual evapotranspiration, Data-driven framework, Eddy covariance tower, Reanalysis data, Machine Learning