@inproceedings{5336864105444ed5a566ba1fdfadfa36,
title = "Global production and free access to Landsat-scale Evapotranspiration with EEFlux and eeMETRIC",
abstract = "EEFlux (Earth Engine Evapotranspiration Flux) is a version of the METRIC (mapping evapotranspiration at high resolution with internal calibration) application that operates on the Google Earth Engine (EE). EEFlux has a web-based interface and provides free public access to transform Landsat images into 30 m spatial evapotranspiration (ET) data for terrestrial land areas around the globe. EE holds the entire Landsat archive to power EEFlux along with NLDAS/CFSV2 gridded weather data for estimating reference ET. EEFlux is a part of the upcoming OpenET platform (https://openetdata.org/) that has leveraged nonprofit funding to provide ET information to all of the lower 48 states for free, as a means to foster water exchange between agriculture, cities and environment (Melton et al., 2020). The METRIC version in OpenET is named eeMETRIC, and includes cloud detection and time integration of ET snapshots into monthly ET estimates. EEFlux and eeMETRIC employ METRIC's {"}mountain{"} algorithms for estimating aerodynamics and solar radiation in complex terrain. Calibration is automated and ET images are computed for download in seconds using EE's large computational capacity.",
keywords = "EEFLUX, EeMETRIC, Energy balance, Evapotranspiration, Google earth engine, Landsat, METRIC",
author = "Ayse Kilic and Richard Allen and Philip Blankenau and Peter Revelle and Doruk Ozturk and Justin Huntington",
note = "Funding Information: Evapotranspiration (ET) is often the single most important and most uncertain parameter in water planning and allocation models used at the federal, state and local levels. Knowledge of ET is essential for understanding the pathways of water processes and water consumption as well as understanding health and vulnerability of vegetation systems under drought and other stresses. Additionally, accurate ET estimates are critical for managing constraints to food production and water rights in the US and globally. EEFlux calculates ET using a surface energy balance derived from thermal and reflected imagery of Landsat and was developed from the image-based process model METRIC (Allen et al., 2007a,b, 2010, 2013a,b, Irmak-Kilic et al., 2011, Morton, Huntington et al., 2013). METRIC subroutines designed for a wide range of land-uses, terrain types and ecosystems. The METRIC model has been adopted by a number of western states (see applications map) that include CA, OR, NV, ID, NE, CO, NM, MT, WY and TX. The EEFlux project has been funded by Google, Inc., with foundational support by the University of Idaho, University of Nebraska-Lincoln, Desert Research Institute, and by USGS via the Landsat Science Team. Web sites describing METRIC and applications are housed by the University of Idaho and by the Idaho Department of Water Resources. Funding Information: Development of the OpenET platform is supported by the S.D. Bechtel, Jr. Foundation, the Gordon and Betty Moore Foundation, the Walton Family Foundation, the Windward Fund, and the NASA Applied Science Program. In-kind support is provided by partners in the agricultural and water management communities, Google Earth Engine, and the Water Funder Initiative. OpenET operates on the Google Earth Engine. Applications are programmed in Java-script language. Funding Information: We gratefully acknowledge the funding support by Google, Inc. and by the Idaho Agricultural Experiment Station, the Nebraska Agricultural Experiment Station, S.D. Bechtel, Jr. Foundation, the Gordon and Betty Moore Foundation, the Walton Family Foundation, the Windward Fund, the California Water Resources Control Board, the NASA Applied Science Program, Desert Research Institute, and the USGS via the Landsat Science Team. Publisher Copyright: {\textcopyright} 2020 DNIS.All right reserved.; 6th Decennial National Irrigation Symposium 2020 ; Conference date: 30-11-2020 Through 04-12-2020",
year = "2020",
doi = "10.13031/irrig.2020-038",
language = "English (US)",
series = "6th Decennial National Irrigation Symposium",
publisher = "American Society of Agricultural and Biological Engineers",
booktitle = "6th Decennial National Irrigation Symposium",
}