Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s00271-022-00810-1 http://hdl.handle.net/11449/241524 |
Resumo: | Assessment of water consumption is a crucial task for irrigation management in grapevines, especially in areas with limited water resources, which is the case of California Central Valley. This study evaluated the utility of the Simple Algorithm for Evapotranspiration Retrievement (SAFER) model to estimate daily and seasonal actual evapotranspiration (ETa) using Sentinel 2 images at 10-m spatial resolution and 5-day revisit time in 3 vineyards located at two sites in California. A unique characteristic of this model is the estimation of “synthetic” temperature maps, which are used as part of the estimation of ET and energy balance. The SAFER energy balance results were validated with six eddy covariance (EC) flux towers as part of the Grape Remote-sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). The estimated surface temperature derived from upwelling longwave radiation measurements was closely correlated with the observed sensor surface temperature with R2 higher than 0.86 for the analyzed EC towers. After performing an internal calibration, SAFER root mean square error (RMSE) values on daily ETa were between 0.64 and 0.75 mm day−1. Additionally, the seasonal ETa was estimated and compared with the EC observations showing an average R2 ranging from 0.64 to 0.52 mm/season. Spatial patterns of ETa showed variability between sites and producer management activities. The results found indicate both limitations and potential utility of SAFER for irrigation management in vineyards using daily or seasonal ETa under different irrigation treatments. |
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Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumptionAssessment of water consumption is a crucial task for irrigation management in grapevines, especially in areas with limited water resources, which is the case of California Central Valley. This study evaluated the utility of the Simple Algorithm for Evapotranspiration Retrievement (SAFER) model to estimate daily and seasonal actual evapotranspiration (ETa) using Sentinel 2 images at 10-m spatial resolution and 5-day revisit time in 3 vineyards located at two sites in California. A unique characteristic of this model is the estimation of “synthetic” temperature maps, which are used as part of the estimation of ET and energy balance. The SAFER energy balance results were validated with six eddy covariance (EC) flux towers as part of the Grape Remote-sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). The estimated surface temperature derived from upwelling longwave radiation measurements was closely correlated with the observed sensor surface temperature with R2 higher than 0.86 for the analyzed EC towers. After performing an internal calibration, SAFER root mean square error (RMSE) values on daily ETa were between 0.64 and 0.75 mm day−1. Additionally, the seasonal ETa was estimated and compared with the EC observations showing an average R2 ranging from 0.64 to 0.52 mm/season. Spatial patterns of ETa showed variability between sites and producer management activities. The results found indicate both limitations and potential utility of SAFER for irrigation management in vineyards using daily or seasonal ETa under different irrigation treatments.Department of Rural Engineering Faculdade de Ciências Agrônomicas UNESP, SPDepartment of Civil and Environmental Engineering Utah State UniversityE & J Gallo Winery Viticulture Chemistry and EnologyDepartment of Biosystems Engineering Faculdade de Ciências e Engenharia UNESP, SPEmbrapa Monitoramento Por Satélite, SPNational Laboratory for Agriculture and the Environment USDA ARSHydrology and Remote Sensing Laboratory USDA ARSPlants Soil and Climate Department Utah State UniversityCOMPLUTIG, MadridDepartment of Rural Engineering Faculdade de Ciências Agrônomicas UNESP, SPDepartment of Biosystems Engineering Faculdade de Ciências e Engenharia UNESP, SPUniversidade Estadual Paulista (UNESP)Utah State UniversityChemistry and EnologyEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)USDA ARSCOMPLUTIGSafre, Anderson L. S. [UNESP]Nassar, AymanTorres-Rua, AlfonsoAboutalebi, MayharSaad, João C. C. [UNESP]Manzione, Rodrigo L. [UNESP]de Castro Teixeira, Antonio HeribertoPrueger, John H.McKee, Lynn G.Alfieri, Joseph G.Hipps, Lawrence E.Nieto, HectorWhite, William A.del Mar Alsina, MariaSanchez, LuisKustas, William P.Dokoozlian, NickGao, FengAnderson, Martha C.2023-03-01T21:08:00Z2023-03-01T21:08:00Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s00271-022-00810-1Irrigation Science.1432-13190342-7188http://hdl.handle.net/11449/24152410.1007/s00271-022-00810-12-s2.0-85136235204Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIrrigation Scienceinfo:eu-repo/semantics/openAccess2024-04-30T14:02:50Zoai:repositorio.unesp.br:11449/241524Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:04:26.030715Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption |
title |
Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption |
spellingShingle |
Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption Safre, Anderson L. S. [UNESP] |
title_short |
Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption |
title_full |
Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption |
title_fullStr |
Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption |
title_full_unstemmed |
Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption |
title_sort |
Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption |
author |
Safre, Anderson L. S. [UNESP] |
author_facet |
Safre, Anderson L. S. [UNESP] Nassar, Ayman Torres-Rua, Alfonso Aboutalebi, Mayhar Saad, João C. C. [UNESP] Manzione, Rodrigo L. [UNESP] de Castro Teixeira, Antonio Heriberto Prueger, John H. McKee, Lynn G. Alfieri, Joseph G. Hipps, Lawrence E. Nieto, Hector White, William A. del Mar Alsina, Maria Sanchez, Luis Kustas, William P. Dokoozlian, Nick Gao, Feng Anderson, Martha C. |
author_role |
author |
author2 |
Nassar, Ayman Torres-Rua, Alfonso Aboutalebi, Mayhar Saad, João C. C. [UNESP] Manzione, Rodrigo L. [UNESP] de Castro Teixeira, Antonio Heriberto Prueger, John H. McKee, Lynn G. Alfieri, Joseph G. Hipps, Lawrence E. Nieto, Hector White, William A. del Mar Alsina, Maria Sanchez, Luis Kustas, William P. Dokoozlian, Nick Gao, Feng Anderson, Martha C. |
author2_role |
author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Utah State University Chemistry and Enology Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) USDA ARS COMPLUTIG |
dc.contributor.author.fl_str_mv |
Safre, Anderson L. S. [UNESP] Nassar, Ayman Torres-Rua, Alfonso Aboutalebi, Mayhar Saad, João C. C. [UNESP] Manzione, Rodrigo L. [UNESP] de Castro Teixeira, Antonio Heriberto Prueger, John H. McKee, Lynn G. Alfieri, Joseph G. Hipps, Lawrence E. Nieto, Hector White, William A. del Mar Alsina, Maria Sanchez, Luis Kustas, William P. Dokoozlian, Nick Gao, Feng Anderson, Martha C. |
description |
Assessment of water consumption is a crucial task for irrigation management in grapevines, especially in areas with limited water resources, which is the case of California Central Valley. This study evaluated the utility of the Simple Algorithm for Evapotranspiration Retrievement (SAFER) model to estimate daily and seasonal actual evapotranspiration (ETa) using Sentinel 2 images at 10-m spatial resolution and 5-day revisit time in 3 vineyards located at two sites in California. A unique characteristic of this model is the estimation of “synthetic” temperature maps, which are used as part of the estimation of ET and energy balance. The SAFER energy balance results were validated with six eddy covariance (EC) flux towers as part of the Grape Remote-sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). The estimated surface temperature derived from upwelling longwave radiation measurements was closely correlated with the observed sensor surface temperature with R2 higher than 0.86 for the analyzed EC towers. After performing an internal calibration, SAFER root mean square error (RMSE) values on daily ETa were between 0.64 and 0.75 mm day−1. Additionally, the seasonal ETa was estimated and compared with the EC observations showing an average R2 ranging from 0.64 to 0.52 mm/season. Spatial patterns of ETa showed variability between sites and producer management activities. The results found indicate both limitations and potential utility of SAFER for irrigation management in vineyards using daily or seasonal ETa under different irrigation treatments. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-03-01T21:08:00Z 2023-03-01T21:08:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s00271-022-00810-1 Irrigation Science. 1432-1319 0342-7188 http://hdl.handle.net/11449/241524 10.1007/s00271-022-00810-1 2-s2.0-85136235204 |
url |
http://dx.doi.org/10.1007/s00271-022-00810-1 http://hdl.handle.net/11449/241524 |
identifier_str_mv |
Irrigation Science. 1432-1319 0342-7188 10.1007/s00271-022-00810-1 2-s2.0-85136235204 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Irrigation Science |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129579960762368 |