Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation

Autores
Holzman, Mauro; Rivas, Raúl Eduardo; Bayala, Martín Ignacio; Pasapera,José
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The vegetation water status is a crucial variable for modelling of drought impact, vegetation productivity and water fluxes. Methods for spatial estimation of this variable still need to be improved. The integration of remotely sensed data of land surface temperature (LST) and water vegetation indices based on near-infrared (NIR) and short-wave infrared (SWIR) reflectance for estimation of vegetation water content and water available for evapotranspiration require more analysis. This study contains a detailed method and measurements of LST, NIR and SWIR reflectance of soybean, corn and barley taken in field campaigns in central Argentine Pampas and laboratory with a ST PRO Raytek (8–14 μm) and a spectrometer SVC HR-1024i (0.35 and 2.5 μm). Also, relative water content of leaves was measured in laboratory during the dehydration process. This method and dataset could be also used for researching other wavelengths between 0.35 and 2.5 μm as indicator of water vegetation status (e.g. solar-induced chlorophyll fluorescence, photosynthesis). •Procedures useful to measure field spectra of vegetation are presented. •Not only the traditional method to measure leaves spectra in laboratory, but also in field were applied. •The method allows the integration of spectra and thermal data as a proxy of vegetation water status.
Materia
Oceanografía, Hidrología, Recursos Hídricos
Vegetation water content
Optical/thermal data
Vegetation water stress
Soil moisture
Evapotranspiration
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/11050

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network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetationHolzman, MauroRivas, Raúl EduardoBayala, Martín IgnacioPasapera,JoséOceanografía, Hidrología, Recursos HídricosVegetation water contentOptical/thermal dataVegetation water stressSoil moistureEvapotranspirationThe vegetation water status is a crucial variable for modelling of drought impact, vegetation productivity and water fluxes. Methods for spatial estimation of this variable still need to be improved. The integration of remotely sensed data of land surface temperature (LST) and water vegetation indices based on near-infrared (NIR) and short-wave infrared (SWIR) reflectance for estimation of vegetation water content and water available for evapotranspiration require more analysis. This study contains a detailed method and measurements of LST, NIR and SWIR reflectance of soybean, corn and barley taken in field campaigns in central Argentine Pampas and laboratory with a ST PRO Raytek (8–14 μm) and a spectrometer SVC HR-1024i (0.35 and 2.5 μm). Also, relative water content of leaves was measured in laboratory during the dehydration process. This method and dataset could be also used for researching other wavelengths between 0.35 and 2.5 μm as indicator of water vegetation status (e.g. solar-induced chlorophyll fluorescence, photosynthesis). •Procedures useful to measure field spectra of vegetation are presented. •Not only the traditional method to measure leaves spectra in laboratory, but also in field were applied. •The method allows the integration of spectra and thermal data as a proxy of vegetation water status.2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/11050enghttps://digital.cic.gba.gob.ar/handle/11746/10743info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mex.2020.101172info:eu-repo/semantics/altIdentifier/issn/2215-0161Pampa argentinainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:39:55Zoai:digital.cic.gba.gob.ar:11746/11050Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:39:55.588CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
spellingShingle Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
Holzman, Mauro
Oceanografía, Hidrología, Recursos Hídricos
Vegetation water content
Optical/thermal data
Vegetation water stress
Soil moisture
Evapotranspiration
title_short Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_full Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_fullStr Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_full_unstemmed Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_sort Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
dc.creator.none.fl_str_mv Holzman, Mauro
Rivas, Raúl Eduardo
Bayala, Martín Ignacio
Pasapera,José
author Holzman, Mauro
author_facet Holzman, Mauro
Rivas, Raúl Eduardo
Bayala, Martín Ignacio
Pasapera,José
author_role author
author2 Rivas, Raúl Eduardo
Bayala, Martín Ignacio
Pasapera,José
author2_role author
author
author
dc.subject.none.fl_str_mv Oceanografía, Hidrología, Recursos Hídricos
Vegetation water content
Optical/thermal data
Vegetation water stress
Soil moisture
Evapotranspiration
topic Oceanografía, Hidrología, Recursos Hídricos
Vegetation water content
Optical/thermal data
Vegetation water stress
Soil moisture
Evapotranspiration
dc.description.none.fl_txt_mv The vegetation water status is a crucial variable for modelling of drought impact, vegetation productivity and water fluxes. Methods for spatial estimation of this variable still need to be improved. The integration of remotely sensed data of land surface temperature (LST) and water vegetation indices based on near-infrared (NIR) and short-wave infrared (SWIR) reflectance for estimation of vegetation water content and water available for evapotranspiration require more analysis. This study contains a detailed method and measurements of LST, NIR and SWIR reflectance of soybean, corn and barley taken in field campaigns in central Argentine Pampas and laboratory with a ST PRO Raytek (8–14 μm) and a spectrometer SVC HR-1024i (0.35 and 2.5 μm). Also, relative water content of leaves was measured in laboratory during the dehydration process. This method and dataset could be also used for researching other wavelengths between 0.35 and 2.5 μm as indicator of water vegetation status (e.g. solar-induced chlorophyll fluorescence, photosynthesis). •Procedures useful to measure field spectra of vegetation are presented. •Not only the traditional method to measure leaves spectra in laboratory, but also in field were applied. •The method allows the integration of spectra and thermal data as a proxy of vegetation water status.
description The vegetation water status is a crucial variable for modelling of drought impact, vegetation productivity and water fluxes. Methods for spatial estimation of this variable still need to be improved. The integration of remotely sensed data of land surface temperature (LST) and water vegetation indices based on near-infrared (NIR) and short-wave infrared (SWIR) reflectance for estimation of vegetation water content and water available for evapotranspiration require more analysis. This study contains a detailed method and measurements of LST, NIR and SWIR reflectance of soybean, corn and barley taken in field campaigns in central Argentine Pampas and laboratory with a ST PRO Raytek (8–14 μm) and a spectrometer SVC HR-1024i (0.35 and 2.5 μm). Also, relative water content of leaves was measured in laboratory during the dehydration process. This method and dataset could be also used for researching other wavelengths between 0.35 and 2.5 μm as indicator of water vegetation status (e.g. solar-induced chlorophyll fluorescence, photosynthesis). •Procedures useful to measure field spectra of vegetation are presented. •Not only the traditional method to measure leaves spectra in laboratory, but also in field were applied. •The method allows the integration of spectra and thermal data as a proxy of vegetation water status.
publishDate 2021
dc.date.none.fl_str_mv 2021
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 https://digital.cic.gba.gob.ar/handle/11746/11050
url https://digital.cic.gba.gob.ar/handle/11746/11050
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/10743
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mex.2020.101172
info:eu-repo/semantics/altIdentifier/issn/2215-0161
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Pampa argentina
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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