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

Autores
Holzman, Mauro Ezequiel; Rivas, Raúl Eduardo; Bayala, Martin 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.
Fil: Holzman, Mauro Ezequiel. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff"; Argentina
Fil: Rivas, Raúl Eduardo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; Argentina
Fil: Bayala, Martin Ignacio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; Argentina
Fil: Pasapera, José. Comisión Nacional de Investigación y Desarrollo Aeroespacial; Perú
Materia
EVAPOTRANSPIRATION
OPTICAL/THERMAL DATA
SOIL MOISTURE
VEGETATION WATER CONTENT
VEGETATION WATER STATUS ESTIMATION WITH OPTICAL AND THERMAL DATA
VEGETATION WATER STRESS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/164388
Acceder
id CONICETDig_aecb70acd357315de7061cfd8ce9494a
oai_identifier_str oai:ri.conicet.gov.ar:11336/164388
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetationHolzman, Mauro EzequielRivas, Raúl EduardoBayala, Martin IgnacioPasapera, JoséEVAPOTRANSPIRATIONOPTICAL/THERMAL DATASOIL MOISTUREVEGETATION WATER CONTENTVEGETATION WATER STATUS ESTIMATION WITH OPTICAL AND THERMAL DATAVEGETATION WATER STRESShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The 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.Fil: Holzman, Mauro Ezequiel. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff"; ArgentinaFil: Rivas, Raúl Eduardo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; ArgentinaFil: Bayala, Martin Ignacio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; ArgentinaFil: Pasapera, José. Comisión Nacional de Investigación y Desarrollo Aeroespacial; PerúElsevier2021-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/164388Holzman, Mauro Ezequiel; Rivas, Raúl Eduardo; Bayala, Martin Ignacio; Pasapera, José; Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation; Elsevier; MethodsX; 8; 1-2021; 1-42215-0161CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2215016120303927info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mex.2020.101172info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:08:59Zoai:ri.conicet.gov.ar:11336/164388instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:09:00.072CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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 Ezequiel
EVAPOTRANSPIRATION
OPTICAL/THERMAL DATA
SOIL MOISTURE
VEGETATION WATER CONTENT
VEGETATION WATER STATUS ESTIMATION WITH OPTICAL AND THERMAL DATA
VEGETATION WATER STRESS
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 Ezequiel
Rivas, Raúl Eduardo
Bayala, Martin Ignacio
Pasapera, José
author Holzman, Mauro Ezequiel
author_facet Holzman, Mauro Ezequiel
Rivas, Raúl Eduardo
Bayala, Martin Ignacio
Pasapera, José
author_role author
author2 Rivas, Raúl Eduardo
Bayala, Martin Ignacio
Pasapera, José
author2_role author
author
author
dc.subject.none.fl_str_mv EVAPOTRANSPIRATION
OPTICAL/THERMAL DATA
SOIL MOISTURE
VEGETATION WATER CONTENT
VEGETATION WATER STATUS ESTIMATION WITH OPTICAL AND THERMAL DATA
VEGETATION WATER STRESS
topic EVAPOTRANSPIRATION
OPTICAL/THERMAL DATA
SOIL MOISTURE
VEGETATION WATER CONTENT
VEGETATION WATER STATUS ESTIMATION WITH OPTICAL AND THERMAL DATA
VEGETATION WATER STRESS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
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.
Fil: Holzman, Mauro Ezequiel. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff"; Argentina
Fil: Rivas, Raúl Eduardo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; Argentina
Fil: Bayala, Martin Ignacio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; Argentina
Fil: Pasapera, José. Comisión Nacional de Investigación y Desarrollo Aeroespacial; Perú
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 2021-01
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/11336/164388
Holzman, Mauro Ezequiel; Rivas, Raúl Eduardo; Bayala, Martin Ignacio; Pasapera, José; Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation; Elsevier; MethodsX; 8; 1-2021; 1-4
2215-0161
CONICET Digital
CONICET
url http://hdl.handle.net/11336/164388
identifier_str_mv Holzman, Mauro Ezequiel; Rivas, Raúl Eduardo; Bayala, Martin Ignacio; Pasapera, José; Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation; Elsevier; MethodsX; 8; 1-2021; 1-4
2215-0161
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2215016120303927
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mex.2020.101172
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846781427995115520
score 12.982451

Publicaciones similares