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...
Gespeichert in:
Veröffentlicht in: | Water (Basel) 2020-04, Vol.12 (4), p.1192 |
---|---|
Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
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. |
doi_str_mv | 10.3390/w12041192 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2394766647</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A791294716</galeid><sourcerecordid>A791294716</sourcerecordid><originalsourceid>FETCH-LOGICAL-c331t-aa672bfdd4634cb9601ace33eaaad5bc65d413b5de9d37d8ff898cc08b8e7b4b3</originalsourceid><addsrcrecordid>eNpNUE1LAzEQDaJgqT34DwKePGxNNtmvYymtFRb0UG_Cks1Hm7KbXTO72v57UyrizGGG4b03vIfQPSVzxgry9E1jwikt4is0iUnGIs45vf6336IZwIGE4kWeJ2SCPkrhFIgBb7rRNye8-hJ9N3jhoLdeDLZzeN2MR7wA0ACtdgMewbodLk9gWz1oD9h0Hg97jbf6KABv7G6P3xphHdyhGyMa0LPfOUXv69V2uYnK1-eX5aKMJGN0iIRIs7g2SvGUcVkXKaFCasa0EEIltUwTxSmrE6ULxTKVG5MXuZQkr3Od1bxmU_Rw0e199zlqGKpDcOPCyypmBc_SNOVZQM0vqJ1odGWdOfuUoZVureycNjbcF1lB48ChaSA8XgjSdwBem6r3thX-VFFSnQOv_gJnPyuPc78</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2394766647</pqid></control><display><type>article</type><title>Landsat Hourly Evapotranspiration Flux Assessment using Lysimeters for the Texas High Plains</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Hashem, Ahmed A. ; Engel, Bernard A. ; Bralts, Vincent F. ; Marek, Gary W. ; Moorhead, Jerry E. ; Rashad, Mohamed ; Radwan, Sherif ; Gowda, Prasanna H.</creator><creatorcontrib>Hashem, Ahmed A. ; Engel, Bernard A. ; Bralts, Vincent F. ; Marek, Gary W. ; Moorhead, Jerry E. ; Rashad, Mohamed ; Radwan, Sherif ; Gowda, Prasanna H.</creatorcontrib><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.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w12041192</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>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</subject><ispartof>Water (Basel), 2020-04, Vol.12 (4), p.1192</ispartof><rights>COPYRIGHT 2020 MDPI AG</rights><rights>2020 by the authors. 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-aa672bfdd4634cb9601ace33eaaad5bc65d413b5de9d37d8ff898cc08b8e7b4b3</citedby><cites>FETCH-LOGICAL-c331t-aa672bfdd4634cb9601ace33eaaad5bc65d413b5de9d37d8ff898cc08b8e7b4b3</cites><orcidid>0000-0002-4749-7996</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Hashem, Ahmed A.</creatorcontrib><creatorcontrib>Engel, Bernard A.</creatorcontrib><creatorcontrib>Bralts, Vincent F.</creatorcontrib><creatorcontrib>Marek, Gary W.</creatorcontrib><creatorcontrib>Moorhead, Jerry E.</creatorcontrib><creatorcontrib>Rashad, Mohamed</creatorcontrib><creatorcontrib>Radwan, Sherif</creatorcontrib><creatorcontrib>Gowda, Prasanna H.</creatorcontrib><title>Landsat Hourly Evapotranspiration Flux Assessment using Lysimeters for the Texas High Plains</title><title>Water (Basel)</title><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.</description><subject>Accuracy</subject><subject>Agricultural management</subject><subject>Agricultural research</subject><subject>Aquatic resources</subject><subject>Arid zones</subject><subject>Calibration</subject><subject>Crops</subject><subject>Earth resources technology satellites</subject><subject>Energy</subject><subject>Estimates</subject><subject>Evapotranspiration</subject><subject>Government agencies</subject><subject>Heat</subject><subject>High plains</subject><subject>Humidity</subject><subject>Hydrologic cycle</subject><subject>Irrigation</subject><subject>Irrigation scheduling</subject><subject>Irrigation water</subject><subject>Landsat</subject><subject>Lysimeters</subject><subject>Management</subject><subject>Mapping</subject><subject>Measurement</subject><subject>Radiation</subject><subject>Rain</subject><subject>Remote sensing</subject><subject>Resource management</subject><subject>Root-mean-square errors</subject><subject>Sensors</subject><subject>Software</subject><subject>Studies</subject><subject>Water</subject><subject>Water management</subject><subject>Water resources</subject><subject>Water resources management</subject><subject>Water use</subject><subject>Watersheds</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUE1LAzEQDaJgqT34DwKePGxNNtmvYymtFRb0UG_Cks1Hm7KbXTO72v57UyrizGGG4b03vIfQPSVzxgry9E1jwikt4is0iUnGIs45vf6336IZwIGE4kWeJ2SCPkrhFIgBb7rRNye8-hJ9N3jhoLdeDLZzeN2MR7wA0ACtdgMewbodLk9gWz1oD9h0Hg97jbf6KABv7G6P3xphHdyhGyMa0LPfOUXv69V2uYnK1-eX5aKMJGN0iIRIs7g2SvGUcVkXKaFCasa0EEIltUwTxSmrE6ULxTKVG5MXuZQkr3Od1bxmU_Rw0e199zlqGKpDcOPCyypmBc_SNOVZQM0vqJ1odGWdOfuUoZVureycNjbcF1lB48ChaSA8XgjSdwBem6r3thX-VFFSnQOv_gJnPyuPc78</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Hashem, Ahmed A.</creator><creator>Engel, Bernard A.</creator><creator>Bralts, Vincent F.</creator><creator>Marek, Gary W.</creator><creator>Moorhead, Jerry E.</creator><creator>Rashad, Mohamed</creator><creator>Radwan, Sherif</creator><creator>Gowda, Prasanna H.</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-4749-7996</orcidid></search><sort><creationdate>20200401</creationdate><title>Landsat Hourly Evapotranspiration Flux Assessment using Lysimeters for the Texas High Plains</title><author>Hashem, Ahmed A. ; Engel, Bernard A. ; Bralts, Vincent F. ; Marek, Gary W. ; Moorhead, Jerry E. ; Rashad, Mohamed ; Radwan, Sherif ; Gowda, Prasanna H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-aa672bfdd4634cb9601ace33eaaad5bc65d413b5de9d37d8ff898cc08b8e7b4b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accuracy</topic><topic>Agricultural management</topic><topic>Agricultural research</topic><topic>Aquatic resources</topic><topic>Arid zones</topic><topic>Calibration</topic><topic>Crops</topic><topic>Earth resources technology satellites</topic><topic>Energy</topic><topic>Estimates</topic><topic>Evapotranspiration</topic><topic>Government agencies</topic><topic>Heat</topic><topic>High plains</topic><topic>Humidity</topic><topic>Hydrologic cycle</topic><topic>Irrigation</topic><topic>Irrigation scheduling</topic><topic>Irrigation water</topic><topic>Landsat</topic><topic>Lysimeters</topic><topic>Management</topic><topic>Mapping</topic><topic>Measurement</topic><topic>Radiation</topic><topic>Rain</topic><topic>Remote sensing</topic><topic>Resource management</topic><topic>Root-mean-square errors</topic><topic>Sensors</topic><topic>Software</topic><topic>Studies</topic><topic>Water</topic><topic>Water management</topic><topic>Water resources</topic><topic>Water resources management</topic><topic>Water use</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hashem, Ahmed A.</creatorcontrib><creatorcontrib>Engel, Bernard A.</creatorcontrib><creatorcontrib>Bralts, Vincent F.</creatorcontrib><creatorcontrib>Marek, Gary W.</creatorcontrib><creatorcontrib>Moorhead, Jerry E.</creatorcontrib><creatorcontrib>Rashad, Mohamed</creatorcontrib><creatorcontrib>Radwan, Sherif</creatorcontrib><creatorcontrib>Gowda, Prasanna H.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hashem, Ahmed A.</au><au>Engel, Bernard A.</au><au>Bralts, Vincent F.</au><au>Marek, Gary W.</au><au>Moorhead, Jerry E.</au><au>Rashad, Mohamed</au><au>Radwan, Sherif</au><au>Gowda, Prasanna H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Landsat Hourly Evapotranspiration Flux Assessment using Lysimeters for the Texas High Plains</atitle><jtitle>Water (Basel)</jtitle><date>2020-04-01</date><risdate>2020</risdate><volume>12</volume><issue>4</issue><spage>1192</spage><pages>1192-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>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.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w12041192</doi><orcidid>https://orcid.org/0000-0002-4749-7996</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2073-4441 |
ispartof | Water (Basel), 2020-04, Vol.12 (4), p.1192 |
issn | 2073-4441 2073-4441 |
language | eng |
recordid | cdi_proquest_journals_2394766647 |
source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T20%3A05%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Landsat%20Hourly%20Evapotranspiration%20Flux%20Assessment%20using%20Lysimeters%20for%20the%20Texas%20High%20Plains&rft.jtitle=Water%20(Basel)&rft.au=Hashem,%20Ahmed%20A.&rft.date=2020-04-01&rft.volume=12&rft.issue=4&rft.spage=1192&rft.pages=1192-&rft.issn=2073-4441&rft.eissn=2073-4441&rft_id=info:doi/10.3390/w12041192&rft_dat=%3Cgale_proqu%3EA791294716%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2394766647&rft_id=info:pmid/&rft_galeid=A791294716&rfr_iscdi=true |