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

Autores
Holzman, Mauro; Rivas, Raúl Eduardo; Pasapera, José
Año de publicación
2020
Idioma
inglés
Tipo de recurso
conjunto de datos
Estado
versión enviada
Descripción
The vegetation water status is a crucial variable for modelling of drought impact, vegetation productivity and water fluxes. This file 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 (8-14µm) and a spectrometer SVC HR-1024i (0.35 and 2.5 µm). Also, data relative water content of leaves was measured in laboratory during the dehydration process. This dataset could be also used for researching.
This dataset contains measurements of LST, NIR and SWIR reflectance of soybean, corn and barley taken in field campaigns in central Argentine Pampas (La Campana, 37°17' S, 58°56' W) and laboratory with a ST PRO Raytek (8-14µm) and a spectrometer SVC HR-1024i (0.35 and 2.5 µm). Also, data of relative water content of leaves measured in laboratory during the dehydration process are included.
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:11746/10743
Acceder
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oai_identifier_str oai:digital.cic.gba.gob.ar:11746/10743
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Dataset of land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetationHolzman, MauroRivas, Raúl EduardoPasapera, JoséOceanografía, Hidrología, Recursos Hídricoshttps://purl.org/becyt/ford/1.5Vegetation water contentoptical/thermal datavegetation water stresssoil moistureevapotranspirationThe vegetation water status is a crucial variable for modelling of drought impact, vegetation productivity and water fluxes. This file 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 (8-14µm) and a spectrometer SVC HR-1024i (0.35 and 2.5 µm). Also, data relative water content of leaves was measured in laboratory during the dehydration process. This dataset could be also used for researching.This dataset contains measurements of LST, NIR and SWIR reflectance of soybean, corn and barley taken in field campaigns in central Argentine Pampas (La Campana, 37°17' S, 58°56' W) and laboratory with a ST PRO Raytek (8-14µm) and a spectrometer SVC HR-1024i (0.35 and 2.5 µm). Also, data of relative water content of leaves measured in laboratory during the dehydration process are included.2020-11-26info:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_ddb1info:ar-repo/semantics/conjuntoDeDatosinfo:eu-repo/semantics/dataSetapplication/vnd.openxmlformats-officedocument.spreadsheetml.sheethttps://digital.cic.gba.gob.ar/handle/11746/10743enghttps://digital.cic.gba.gob.ar/handle/11746/11050info:eu-repo/semantics/altIdentifier/doi/10.17632/5hjyy6z436.1Pampa 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:CICBA2025-09-29T13:40:23Zoai:digital.cic.gba.gob.ar:11746/10743Institucionalhttp://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 13:40:23.995CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Dataset of land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title Dataset of land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
spellingShingle Dataset of 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 Dataset of land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_full Dataset of land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_fullStr Dataset of land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_full_unstemmed Dataset of land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_sort Dataset of 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
Pasapera, José
author Holzman, Mauro
author_facet Holzman, Mauro
Rivas, Raúl Eduardo
Pasapera, José
author_role author
author2 Rivas, Raúl Eduardo
Pasapera, José
author2_role 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
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
dc.description.none.fl_txt_mv The vegetation water status is a crucial variable for modelling of drought impact, vegetation productivity and water fluxes. This file 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 (8-14µm) and a spectrometer SVC HR-1024i (0.35 and 2.5 µm). Also, data relative water content of leaves was measured in laboratory during the dehydration process. This dataset could be also used for researching.
This dataset contains measurements of LST, NIR and SWIR reflectance of soybean, corn and barley taken in field campaigns in central Argentine Pampas (La Campana, 37°17' S, 58°56' W) and laboratory with a ST PRO Raytek (8-14µm) and a spectrometer SVC HR-1024i (0.35 and 2.5 µm). Also, data of relative water content of leaves measured in laboratory during the dehydration process are included.
description The vegetation water status is a crucial variable for modelling of drought impact, vegetation productivity and water fluxes. This file 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 (8-14µm) and a spectrometer SVC HR-1024i (0.35 and 2.5 µm). Also, data relative water content of leaves was measured in laboratory during the dehydration process. This dataset could be also used for researching.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-26
dc.type.none.fl_str_mv info:eu-repo/semantics/submittedVersion
http://purl.org/coar/resource_type/c_ddb1
info:ar-repo/semantics/conjuntoDeDatos
info:eu-repo/semantics/dataSet
status_str submittedVersion
format dataSet
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/10743
url https://digital.cic.gba.gob.ar/handle/11746/10743
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/11050
info:eu-repo/semantics/altIdentifier/doi/10.17632/5hjyy6z436.1
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/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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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score 13.070432

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