Subsurface soil moisture estimation by VI-LST method
- Autores
- Holzman, Mauro Ezequiel; Rivas, Raúl; Bayala, Martín Ignacio
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In this letter, the relationship between temperature vegetation dryness index (TVDI) from the Moderate Resolution Imaging Spectroradiometer and subsurface soil moisture (SM) cover crop and native grassland of the Argentine Pampas is analyzed.High correlation (R2 > 0.69) between TVDI and SM measurements was found at different soil depths. In addition, we found that the potential of this index to reflect subsurface soil wetness fluctuations depends on root system depth, root distribution in the soil, and physical soil characteristics. Results indicate that thermal and reflectance data combination could be used to monitor subsurface SM below vegetated areas.
Fil: Holzman, Mauro Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Azul; Argentina
Fil: Rivas, Raúl. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Azul; Argentina
Fil: Bayala, Martín Ignacio. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Azul; Argentina - Materia
-
Optical–Thermal
Soil Moisture (Sm)
Stress Index - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/10861
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Subsurface soil moisture estimation by VI-LST methodHolzman, Mauro EzequielRivas, RaúlBayala, Martín IgnacioOptical–ThermalSoil Moisture (Sm)Stress Indexhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1In this letter, the relationship between temperature vegetation dryness index (TVDI) from the Moderate Resolution Imaging Spectroradiometer and subsurface soil moisture (SM) cover crop and native grassland of the Argentine Pampas is analyzed.High correlation (R2 > 0.69) between TVDI and SM measurements was found at different soil depths. In addition, we found that the potential of this index to reflect subsurface soil wetness fluctuations depends on root system depth, root distribution in the soil, and physical soil characteristics. Results indicate that thermal and reflectance data combination could be used to monitor subsurface SM below vegetated areas.Fil: Holzman, Mauro Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Azul; ArgentinaFil: Rivas, Raúl. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Azul; ArgentinaFil: Bayala, Martín Ignacio. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Azul; ArgentinaInstitute Of Electrical And Electronics Engineers2014-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/10861Holzman, Mauro Ezequiel; Rivas, Raúl; Bayala, Martín Ignacio; Subsurface soil moisture estimation by VI-LST method; Institute Of Electrical And Electronics Engineers; Ieee Geoscience And Remote Sensing Letters; 11; 11; 5-2014; 1951-19551545-598Xenginfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6803861info:eu-repo/semantics/altIdentifier/doi/10.1109/LGRS.2014.2314617info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:17Zoai:ri.conicet.gov.ar:11336/10861instacron: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:34982025-09-29 09:37:18.098CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Subsurface soil moisture estimation by VI-LST method |
title |
Subsurface soil moisture estimation by VI-LST method |
spellingShingle |
Subsurface soil moisture estimation by VI-LST method Holzman, Mauro Ezequiel Optical–Thermal Soil Moisture (Sm) Stress Index |
title_short |
Subsurface soil moisture estimation by VI-LST method |
title_full |
Subsurface soil moisture estimation by VI-LST method |
title_fullStr |
Subsurface soil moisture estimation by VI-LST method |
title_full_unstemmed |
Subsurface soil moisture estimation by VI-LST method |
title_sort |
Subsurface soil moisture estimation by VI-LST method |
dc.creator.none.fl_str_mv |
Holzman, Mauro Ezequiel Rivas, Raúl Bayala, Martín Ignacio |
author |
Holzman, Mauro Ezequiel |
author_facet |
Holzman, Mauro Ezequiel Rivas, Raúl Bayala, Martín Ignacio |
author_role |
author |
author2 |
Rivas, Raúl Bayala, Martín Ignacio |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Optical–Thermal Soil Moisture (Sm) Stress Index |
topic |
Optical–Thermal Soil Moisture (Sm) Stress Index |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
In this letter, the relationship between temperature vegetation dryness index (TVDI) from the Moderate Resolution Imaging Spectroradiometer and subsurface soil moisture (SM) cover crop and native grassland of the Argentine Pampas is analyzed.High correlation (R2 > 0.69) between TVDI and SM measurements was found at different soil depths. In addition, we found that the potential of this index to reflect subsurface soil wetness fluctuations depends on root system depth, root distribution in the soil, and physical soil characteristics. Results indicate that thermal and reflectance data combination could be used to monitor subsurface SM below vegetated areas. Fil: Holzman, Mauro Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Azul; Argentina Fil: Rivas, Raúl. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Azul; Argentina Fil: Bayala, Martín Ignacio. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Azul; Argentina |
description |
In this letter, the relationship between temperature vegetation dryness index (TVDI) from the Moderate Resolution Imaging Spectroradiometer and subsurface soil moisture (SM) cover crop and native grassland of the Argentine Pampas is analyzed.High correlation (R2 > 0.69) between TVDI and SM measurements was found at different soil depths. In addition, we found that the potential of this index to reflect subsurface soil wetness fluctuations depends on root system depth, root distribution in the soil, and physical soil characteristics. Results indicate that thermal and reflectance data combination could be used to monitor subsurface SM below vegetated areas. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-05 |
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/11336/10861 Holzman, Mauro Ezequiel; Rivas, Raúl; Bayala, Martín Ignacio; Subsurface soil moisture estimation by VI-LST method; Institute Of Electrical And Electronics Engineers; Ieee Geoscience And Remote Sensing Letters; 11; 11; 5-2014; 1951-1955 1545-598X |
url |
http://hdl.handle.net/11336/10861 |
identifier_str_mv |
Holzman, Mauro Ezequiel; Rivas, Raúl; Bayala, Martín Ignacio; Subsurface soil moisture estimation by VI-LST method; Institute Of Electrical And Electronics Engineers; Ieee Geoscience And Remote Sensing Letters; 11; 11; 5-2014; 1951-1955 1545-598X |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6803861 info:eu-repo/semantics/altIdentifier/doi/10.1109/LGRS.2014.2314617 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Institute Of Electrical And Electronics Engineers |
publisher.none.fl_str_mv |
Institute Of Electrical And Electronics Engineers |
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 |
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1844613174450454528 |
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13.070432 |