Comparison of X and C band satellite radar images to characterize irrigated agricultural fields
- Autores
- Verón, Santiago Ramón; de Abelleyra, Diego
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Despite the effect of water content on radar backscattering is well known, isolating the contributions from soil, vegetation, and vegetation superficial water content (wetness) is still challenging. This work aim to characterize the backscatter response over maize crops in the Argentine pampas with differing soil and vegetation water content and wetness considering multipolarimetric X and C band radar. Two images (RADARSAT-2 and TerraSAR-X) were acquired with a 20' time difference over the same study area. Simultaneously with acquisitions, field measurements of superficial soil moisture, dry and wet vegetation biomass and height were performed over irrigated and non irrigated and standing and non emerged crop fields. Soil moisture showed high r2for backscatter and several polarimetric decompositions approaches. On the contrary low correlation was found for maize crop growth parameters. X and C band radar indexes seem to saturate at low maize biomass values but could be associated to superficial crop wetness.
Fil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: de Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria; Argentina - Materia
-
maize
biomass
wetness
soil moisture - 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:11336/84586
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Comparison of X and C band satellite radar images to characterize irrigated agricultural fieldsVerón, Santiago Ramónde Abelleyra, Diegomaizebiomasswetnesssoil moisturehttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Despite the effect of water content on radar backscattering is well known, isolating the contributions from soil, vegetation, and vegetation superficial water content (wetness) is still challenging. This work aim to characterize the backscatter response over maize crops in the Argentine pampas with differing soil and vegetation water content and wetness considering multipolarimetric X and C band radar. Two images (RADARSAT-2 and TerraSAR-X) were acquired with a 20' time difference over the same study area. Simultaneously with acquisitions, field measurements of superficial soil moisture, dry and wet vegetation biomass and height were performed over irrigated and non irrigated and standing and non emerged crop fields. Soil moisture showed high r2for backscatter and several polarimetric decompositions approaches. On the contrary low correlation was found for maize crop growth parameters. X and C band radar indexes seem to saturate at low maize biomass values but could be associated to superficial crop wetness.Fil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: de Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria; ArgentinaInstitute of Electrical and Electronics Engineers2014-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/84586Verón, Santiago Ramón; de Abelleyra, Diego; Comparison of X and C band satellite radar images to characterize irrigated agricultural fields; Institute of Electrical and Electronics Engineers; International Geoscience and Remote Sensing Symposium; 11-2014; 2106-21092153-7003CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1109/IGARSS.2014.6946881info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/6946881/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:32:58Zoai:ri.conicet.gov.ar:11336/84586instacron: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 09:32:58.862CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Comparison of X and C band satellite radar images to characterize irrigated agricultural fields |
title |
Comparison of X and C band satellite radar images to characterize irrigated agricultural fields |
spellingShingle |
Comparison of X and C band satellite radar images to characterize irrigated agricultural fields Verón, Santiago Ramón maize biomass wetness soil moisture |
title_short |
Comparison of X and C band satellite radar images to characterize irrigated agricultural fields |
title_full |
Comparison of X and C band satellite radar images to characterize irrigated agricultural fields |
title_fullStr |
Comparison of X and C band satellite radar images to characterize irrigated agricultural fields |
title_full_unstemmed |
Comparison of X and C band satellite radar images to characterize irrigated agricultural fields |
title_sort |
Comparison of X and C band satellite radar images to characterize irrigated agricultural fields |
dc.creator.none.fl_str_mv |
Verón, Santiago Ramón de Abelleyra, Diego |
author |
Verón, Santiago Ramón |
author_facet |
Verón, Santiago Ramón de Abelleyra, Diego |
author_role |
author |
author2 |
de Abelleyra, Diego |
author2_role |
author |
dc.subject.none.fl_str_mv |
maize biomass wetness soil moisture |
topic |
maize biomass wetness soil moisture |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Despite the effect of water content on radar backscattering is well known, isolating the contributions from soil, vegetation, and vegetation superficial water content (wetness) is still challenging. This work aim to characterize the backscatter response over maize crops in the Argentine pampas with differing soil and vegetation water content and wetness considering multipolarimetric X and C band radar. Two images (RADARSAT-2 and TerraSAR-X) were acquired with a 20' time difference over the same study area. Simultaneously with acquisitions, field measurements of superficial soil moisture, dry and wet vegetation biomass and height were performed over irrigated and non irrigated and standing and non emerged crop fields. Soil moisture showed high r2for backscatter and several polarimetric decompositions approaches. On the contrary low correlation was found for maize crop growth parameters. X and C band radar indexes seem to saturate at low maize biomass values but could be associated to superficial crop wetness. Fil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: de Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria; Argentina |
description |
Despite the effect of water content on radar backscattering is well known, isolating the contributions from soil, vegetation, and vegetation superficial water content (wetness) is still challenging. This work aim to characterize the backscatter response over maize crops in the Argentine pampas with differing soil and vegetation water content and wetness considering multipolarimetric X and C band radar. Two images (RADARSAT-2 and TerraSAR-X) were acquired with a 20' time difference over the same study area. Simultaneously with acquisitions, field measurements of superficial soil moisture, dry and wet vegetation biomass and height were performed over irrigated and non irrigated and standing and non emerged crop fields. Soil moisture showed high r2for backscatter and several polarimetric decompositions approaches. On the contrary low correlation was found for maize crop growth parameters. X and C band radar indexes seem to saturate at low maize biomass values but could be associated to superficial crop wetness. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-11 |
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/11336/84586 Verón, Santiago Ramón; de Abelleyra, Diego; Comparison of X and C band satellite radar images to characterize irrigated agricultural fields; Institute of Electrical and Electronics Engineers; International Geoscience and Remote Sensing Symposium; 11-2014; 2106-2109 2153-7003 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/84586 |
identifier_str_mv |
Verón, Santiago Ramón; de Abelleyra, Diego; Comparison of X and C band satellite radar images to characterize irrigated agricultural fields; Institute of Electrical and Electronics Engineers; International Geoscience and Remote Sensing Symposium; 11-2014; 2106-2109 2153-7003 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1109/IGARSS.2014.6946881 info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/6946881/ |
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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1844613009425563648 |
score |
13.070432 |