Suitability of Earth Engine Evaporation Flux (EEFlux) Estimation of Evapotranspiration in Rainfed Crops

• Published in: Remote sensing (Basel, Switzerland) Vol. 13; no. 19; p. 3884
• Main Authors: Kadam, Sunil A., Stöckle, Claudio O., Liu, Mingliang, Gao, Zhongming, Russell, Eric S.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2021
• Subjects: actual evapotranspiration; Alfalfa; Automation; Calibration; Canopies; canopy; cold; Crops; eddy covariance; EEFlux; Energy; Evaporation; Evapotranspiration; Fluctuations; Heat; Humidity; irrigation; Landsat; Meteorological data; peas; Performance indices; Pixels; Radiation; rainfed; Remote sensing; Satellite imagery; satellites; Senescence; Spatial discrimination; Spatial resolution; Spring wheat; Wheat; Winter wheat; United States > US; Netherlands
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs13193884

This study evaluated evapotranspiration (ET) estimated using the Earth Engine Evapotranspiration Flux (EEFlux), an automated version of the widely used Mapping Evapotranspiration at High Spatial Resolution with Internalized Calibration (METRIC) model, via comparison with ET measured using eddy covariance flux towers at two U.S. sites (St. John, WA, USA and Genesee, ID, USA) and for two years (2018 and 2019). Crops included spring wheat, winter pea, and winter wheat, all grown under rainfed conditions. The performance indices for daily EEFlux ET estimations combined for all sites and years dramatically improved when the cold pixel alfalfa reference ET fraction (ETrF) in METRIC was reduced from 1.05 (typically used for irrigated crops) to 0.85, with further improvement when the periods of early growth and canopy senescence were excluded. Large EEFlux ET overestimation during crop senescence was consistent in all sites and years. The seasonal absolute departure error was 51% (cold pixel ETrF = 1.05) and 23% (cold pixel ETrF = 0.85), the latter reduced to 12% when the early growth and canopy senescence periods were excluded. Departures of 10% are a reasonable expectation for methods of ET estimation, which EEFlux could achieve with more frequent satellite images, better daily weather data sources, automated adjustment of daily ETrF values during crop senescence, and a better understanding of the selection of adequate cold pixel ETrF values for rainfed crops.