Water: tools and functions to estimate actual evapotranspiración using Land Surface Energy Balance Models in R

Autores
Olmedo, Guillermo Federico; Ortega Farias, Samuel; Fuente Saiz, Daniel de la; Fonseca Luengo, David; Fuentes Peñailillo, Fernando
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The crop water requirement is a key factor in the agricultural process. It is usually estimated throughout actual evapotranspiration (ETa). This parameter is the key to develop irrigation strategies, to improve water use efficiency and to understand hydrological, climatic, and ecosystem processes. Currently, it is calculated with classical methods, which are difficult to extrapolate, or with land surface energy balance models (LSEB), such as METRIC and SEBAL, which are based on remote sensing data. This paper describes water, an open implementation of LSEB. The package provides several functions to estimate the parameters of the LSEB equation from satellite data and proposes a new object class to handle weather station data. One of the critical steps in METRIC is the selection of “cold” and “hot” pixels, which water solves with an automatic method. The water package can process a batch of satellite images and integrates most of the already published sub-models for METRIC. Although water implements METRIC, it will be expandable to SEBAL and others in the near future. Finally, two different procedures are demonstrated using data that is included in water package.
EEA Mendoza
Fil: Olmedo, Guillermo Federico. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina
Fil: Ortega Farias, Samuel. Universidad de Talca. Centro de Investigación y Transferencia en Riego y Agroclimatología; Chile
Fil: Fuente Saiz, Daniel de la. Universidad de Talca. Centro de Investigación y Transferencia en Riego y Agroclimatología; Chile
Fil: Fonseca Luengo, David. Universidad de Talca. Centro de Investigación y Transferencia en Riego y Agroclimatología; Chile
Fil: Fuentes Peñailillo, Fernando. Universidad de Talca. Centro de Investigación y Transferencia en Riego y Agroclimatología; Chile
Fuente
The R Journal 8 (2) : 352-369. (December 2016)
Materia
Ingeniería Agrícola
Agua
Evapotranspiración
Balance de Energía
Water
Evapotranspiration
Agricultural Engineering
Energy Balance
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/1374
Acceder
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oai_identifier_str oai:localhost:20.500.12123/1374
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network_name_str INTA Digital (INTA)
spelling Water: tools and functions to estimate actual evapotranspiración using Land Surface Energy Balance Models in ROlmedo, Guillermo FedericoOrtega Farias, SamuelFuente Saiz, Daniel de laFonseca Luengo, DavidFuentes Peñailillo, FernandoIngeniería AgrícolaAguaEvapotranspiraciónBalance de EnergíaWaterEvapotranspirationAgricultural EngineeringEnergy BalanceThe crop water requirement is a key factor in the agricultural process. It is usually estimated throughout actual evapotranspiration (ETa). This parameter is the key to develop irrigation strategies, to improve water use efficiency and to understand hydrological, climatic, and ecosystem processes. Currently, it is calculated with classical methods, which are difficult to extrapolate, or with land surface energy balance models (LSEB), such as METRIC and SEBAL, which are based on remote sensing data. This paper describes water, an open implementation of LSEB. The package provides several functions to estimate the parameters of the LSEB equation from satellite data and proposes a new object class to handle weather station data. One of the critical steps in METRIC is the selection of “cold” and “hot” pixels, which water solves with an automatic method. The water package can process a batch of satellite images and integrates most of the already published sub-models for METRIC. Although water implements METRIC, it will be expandable to SEBAL and others in the near future. Finally, two different procedures are demonstrated using data that is included in water package.EEA MendozaFil: Olmedo, Guillermo Federico. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; ArgentinaFil: Ortega Farias, Samuel. Universidad de Talca. Centro de Investigación y Transferencia en Riego y Agroclimatología; ChileFil: Fuente Saiz, Daniel de la. Universidad de Talca. Centro de Investigación y Transferencia en Riego y Agroclimatología; ChileFil: Fonseca Luengo, David. Universidad de Talca. Centro de Investigación y Transferencia en Riego y Agroclimatología; ChileFil: Fuentes Peñailillo, Fernando. Universidad de Talca. Centro de Investigación y Transferencia en Riego y Agroclimatología; Chile2017-10-02T13:54:17Z2017-10-02T13:54:17Z2016-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/1374https://journal.r-project.org/archive/2016/RJ-2016-051/RJ-2016-051.pdf2073-4859The R Journal 8 (2) : 352-369. (December 2016)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:44:11Zoai:localhost:20.500.12123/1374instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:11.788INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Water: tools and functions to estimate actual evapotranspiración using Land Surface Energy Balance Models in R
title Water: tools and functions to estimate actual evapotranspiración using Land Surface Energy Balance Models in R
spellingShingle Water: tools and functions to estimate actual evapotranspiración using Land Surface Energy Balance Models in R
Olmedo, Guillermo Federico
Ingeniería Agrícola
Agua
Evapotranspiración
Balance de Energía
Water
Evapotranspiration
Agricultural Engineering
Energy Balance
title_short Water: tools and functions to estimate actual evapotranspiración using Land Surface Energy Balance Models in R
title_full Water: tools and functions to estimate actual evapotranspiración using Land Surface Energy Balance Models in R
title_fullStr Water: tools and functions to estimate actual evapotranspiración using Land Surface Energy Balance Models in R
title_full_unstemmed Water: tools and functions to estimate actual evapotranspiración using Land Surface Energy Balance Models in R
title_sort Water: tools and functions to estimate actual evapotranspiración using Land Surface Energy Balance Models in R
dc.creator.none.fl_str_mv Olmedo, Guillermo Federico
Ortega Farias, Samuel
Fuente Saiz, Daniel de la
Fonseca Luengo, David
Fuentes Peñailillo, Fernando
author Olmedo, Guillermo Federico
author_facet Olmedo, Guillermo Federico
Ortega Farias, Samuel
Fuente Saiz, Daniel de la
Fonseca Luengo, David
Fuentes Peñailillo, Fernando
author_role author
author2 Ortega Farias, Samuel
Fuente Saiz, Daniel de la
Fonseca Luengo, David
Fuentes Peñailillo, Fernando
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ingeniería Agrícola
Agua
Evapotranspiración
Balance de Energía
Water
Evapotranspiration
Agricultural Engineering
Energy Balance
topic Ingeniería Agrícola
Agua
Evapotranspiración
Balance de Energía
Water
Evapotranspiration
Agricultural Engineering
Energy Balance
dc.description.none.fl_txt_mv The crop water requirement is a key factor in the agricultural process. It is usually estimated throughout actual evapotranspiration (ETa). This parameter is the key to develop irrigation strategies, to improve water use efficiency and to understand hydrological, climatic, and ecosystem processes. Currently, it is calculated with classical methods, which are difficult to extrapolate, or with land surface energy balance models (LSEB), such as METRIC and SEBAL, which are based on remote sensing data. This paper describes water, an open implementation of LSEB. The package provides several functions to estimate the parameters of the LSEB equation from satellite data and proposes a new object class to handle weather station data. One of the critical steps in METRIC is the selection of “cold” and “hot” pixels, which water solves with an automatic method. The water package can process a batch of satellite images and integrates most of the already published sub-models for METRIC. Although water implements METRIC, it will be expandable to SEBAL and others in the near future. Finally, two different procedures are demonstrated using data that is included in water package.
EEA Mendoza
Fil: Olmedo, Guillermo Federico. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina
Fil: Ortega Farias, Samuel. Universidad de Talca. Centro de Investigación y Transferencia en Riego y Agroclimatología; Chile
Fil: Fuente Saiz, Daniel de la. Universidad de Talca. Centro de Investigación y Transferencia en Riego y Agroclimatología; Chile
Fil: Fonseca Luengo, David. Universidad de Talca. Centro de Investigación y Transferencia en Riego y Agroclimatología; Chile
Fil: Fuentes Peñailillo, Fernando. Universidad de Talca. Centro de Investigación y Transferencia en Riego y Agroclimatología; Chile
description The crop water requirement is a key factor in the agricultural process. It is usually estimated throughout actual evapotranspiration (ETa). This parameter is the key to develop irrigation strategies, to improve water use efficiency and to understand hydrological, climatic, and ecosystem processes. Currently, it is calculated with classical methods, which are difficult to extrapolate, or with land surface energy balance models (LSEB), such as METRIC and SEBAL, which are based on remote sensing data. This paper describes water, an open implementation of LSEB. The package provides several functions to estimate the parameters of the LSEB equation from satellite data and proposes a new object class to handle weather station data. One of the critical steps in METRIC is the selection of “cold” and “hot” pixels, which water solves with an automatic method. The water package can process a batch of satellite images and integrates most of the already published sub-models for METRIC. Although water implements METRIC, it will be expandable to SEBAL and others in the near future. Finally, two different procedures are demonstrated using data that is included in water package.
publishDate 2016
dc.date.none.fl_str_mv 2016-12
2017-10-02T13:54:17Z
2017-10-02T13:54:17Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/1374
https://journal.r-project.org/archive/2016/RJ-2016-051/RJ-2016-051.pdf
2073-4859
url http://hdl.handle.net/20.500.12123/1374
https://journal.r-project.org/archive/2016/RJ-2016-051/RJ-2016-051.pdf
identifier_str_mv 2073-4859
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv The R Journal 8 (2) : 352-369. (December 2016)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
_version_ 1844619117775028224
score 12.559606

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