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

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. C...

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Autores principales: Olmedo, Guillermo Federico, Ortega Farias, Samuel, Fuente Saiz, Daniel de la, Fonseca Luengo, David, Fuentes Peñailillo, Fernando
Formato: info:eu-repo/semantics/article
Lenguaje:Inglés
Publicado: 2017
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12123/1374
https://journal.r-project.org/archive/2016/RJ-2016-051/RJ-2016-051.pdf
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author Olmedo, Guillermo Federico
Ortega Farias, Samuel
Fuente Saiz, Daniel de la
Fonseca Luengo, David
Fuentes Peñailillo, Fernando
author_browse Fonseca Luengo, David
Fuente Saiz, Daniel de la
Fuentes Peñailillo, Fernando
Olmedo, Guillermo Federico
Ortega Farias, Samuel
author_facet Olmedo, Guillermo Federico
Ortega Farias, Samuel
Fuente Saiz, Daniel de la
Fonseca Luengo, David
Fuentes Peñailillo, Fernando
author_sort Olmedo, Guillermo Federico
collection INTA Digital
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.
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institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
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spelling INTA13742018-02-15T15:28:05Z Water: tools and functions to estimate actual evapotranspiración using Land Surface Energy Balance Models in R Olmedo, Guillermo Federico Ortega Farias, Samuel Fuente Saiz, Daniel de la Fonseca Luengo, David Fuentes Peñailillo, Fernando Ingeniería Agrícola Agua Evapotranspiración Balance de Energía Water Evapotranspiration Agricultural Engineering Energy Balance 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 2017-10-02T13:54:17Z 2017-10-02T13:54:17Z 2016-12 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/1374 https://journal.r-project.org/archive/2016/RJ-2016-051/RJ-2016-051.pdf 2073-4859 eng 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) application/pdf The R Journal 8 (2) : 352-369. (December 2016)
spellingShingle Ingeniería Agrícola
Agua
Evapotranspiración
Balance de Energía
Water
Evapotranspiration
Agricultural Engineering
Energy Balance
Olmedo, Guillermo Federico
Ortega Farias, Samuel
Fuente Saiz, Daniel de la
Fonseca Luengo, David
Fuentes Peñailillo, Fernando
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
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_short 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 evapotranspiracion using land surface energy balance models in r
topic Ingeniería Agrícola
Agua
Evapotranspiración
Balance de Energía
Water
Evapotranspiration
Agricultural Engineering
Energy Balance
url http://hdl.handle.net/20.500.12123/1374
https://journal.r-project.org/archive/2016/RJ-2016-051/RJ-2016-051.pdf
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