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
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/11050
Ver los metadatos del registro completo
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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) |
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CIC Digital (CICBA) |
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Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
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CICBA |
institution |
CICBA |
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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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1844618586163773440 |
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13.070432 |