Landsat Hourly Evapotranspiration Flux Assessment using Lysimeters for the Texas High Plains

Evapotranspiration (ET) is one of the biggest data gaps in water management due to limited ET measurements, and further, spatial variability in ET is difficult to capture. Satellite-based ET estimation has great potential for water resources planning as it allows estimation of agricultural water use...

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Veröffentlicht in:Water (Basel) 2020-04, Vol.12 (4), p.1192
Hauptverfasser: Hashem, Ahmed A., Engel, Bernard A., Bralts, Vincent F., Marek, Gary W., Moorhead, Jerry E., Rashad, Mohamed, Radwan, Sherif, Gowda, Prasanna H.
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container_issue 4
container_start_page 1192
container_title Water (Basel)
container_volume 12
creator Hashem, Ahmed A.
Engel, Bernard A.
Bralts, Vincent F.
Marek, Gary W.
Moorhead, Jerry E.
Rashad, Mohamed
Radwan, Sherif
Gowda, Prasanna H.
description Evapotranspiration (ET) is one of the biggest data gaps in water management due to limited ET measurements, and further, spatial variability in ET is difficult to capture. Satellite-based ET estimation has great potential for water resources planning as it allows estimation of agricultural water use at field, landscape, and watershed scales. However, uncertainties with satellite data derived ET are a major concern. This study evaluates hourly satellite-based ET from 2001–2010 for the growing season (May–October) under irrigated and dryland conditions for both tall and short crops. The evaluation was conducted using observed ET from four large weighing lysimeters at the United States Department of Agriculture Agricultural Research Service (USDA-ARS) Conservation and Production Research Laboratory in Bushland, Texas. Hourly ET from satellite data were derived using the Mapping Evapotranspiration at High Resolution with Internalized Calibration (METRIC) model. Performance statistics showed that satellite-based hourly estimates compared to lysimeter measurements provided good performance with an root-mean-square error(RMSE) of 0.14 mm, Nash–Sutcliffe efficiency (NSE) of 0.57, and R2 of 0.62 for ET for dryland crops, and RMSE of 0.16, NSE of 0.63, and R2 of 0.65 for irrigated crops. METRIC provided accurate hourly ET estimates that may be useful for irrigation scheduling and other water resources management purposes based on the hourly assessment.
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Satellite-based ET estimation has great potential for water resources planning as it allows estimation of agricultural water use at field, landscape, and watershed scales. However, uncertainties with satellite data derived ET are a major concern. This study evaluates hourly satellite-based ET from 2001–2010 for the growing season (May–October) under irrigated and dryland conditions for both tall and short crops. The evaluation was conducted using observed ET from four large weighing lysimeters at the United States Department of Agriculture Agricultural Research Service (USDA-ARS) Conservation and Production Research Laboratory in Bushland, Texas. Hourly ET from satellite data were derived using the Mapping Evapotranspiration at High Resolution with Internalized Calibration (METRIC) model. Performance statistics showed that satellite-based hourly estimates compared to lysimeter measurements provided good performance with an root-mean-square error(RMSE) of 0.14 mm, Nash–Sutcliffe efficiency (NSE) of 0.57, and R2 of 0.62 for ET for dryland crops, and RMSE of 0.16, NSE of 0.63, and R2 of 0.65 for irrigated crops. 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Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 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subjects Accuracy
Agricultural management
Agricultural research
Aquatic resources
Arid zones
Calibration
Crops
Earth resources technology satellites
Energy
Estimates
Evapotranspiration
Government agencies
Heat
High plains
Humidity
Hydrologic cycle
Irrigation
Irrigation scheduling
Irrigation water
Landsat
Lysimeters
Management
Mapping
Measurement
Radiation
Rain
Remote sensing
Resource management
Root-mean-square errors
Sensors
Software
Studies
Water
Water management
Water resources
Water resources management
Water use
Watersheds
title Landsat Hourly Evapotranspiration Flux Assessment using Lysimeters for the Texas High Plains
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