Improved 30‐m Evapotranspiration Estimates Over 145 Eddy Covariance Sites in the Contiguous United States: The Role of ECOSTRESS, Harmonized Landsat Sentinel‐2 Imagery, Climate Reanalysis, and Deep Neural Network Postprocessing

Improved 30‐m Evapotranspiration Estimates Over 145 Eddy Covariance Sites in the Contiguous United States: The Role of ECOSTRESS, Harmonized Landsat Sentinel‐2 Imagery, Climate Reanalysis, and Deep Neural Network Postprocessing

Abstract This study developed and evaluated 30‐m daily evapotranspiration (ET) estimates using the Priestley‐Taylor Jet Propulsion Laboratory (PT‐JPL) model with ECOSTRESS, Moderate MODIS, harmonized Landsat Sentinel‐2 (HLS) imagery, ERA5‐Land reanalysis, and eddy covariance measurements. The new da...

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Bibliographic Details
Main Authors: Taufiq Rashid, Di Tian
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Water Resources Research
Subjects:
evapotranspiration
ECOSTRESS
satellite data
climate reanalysis
eddy covariance
deep learning
Online Access:https://doi.org/10.1029/2023WR036313
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https://doi.org/10.1029/2023WR036313

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