Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stages

Autores
Mieza, M. Soledad; Ferrazzoli, Paolo; Cravero, Walter R.; Kovac, Federico D.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
SAR backscattering coefficient (σ⁰) of crops depends on the operational frequency, polarization and incidence angle of the acquisition system, the dielectric behaviour of crops, and soil-related variables such as the volumetric moisture (mv) and its roughness. In SAR applications, surface roughness is usually characterized by two parameters: the standard deviation of the surface height to a reference height or rms height (s) and the autocorrelation length. The autocorrelation length, defined as the distance at which the correlation function drops to 1/e, describes the surface periodicity and indicates to what extent two separate points can be considered correlated. For crops in their early stages, soil characteristics play a crucial role in σ⁰ due to the low vegetation development. In this work, we present σ⁰ simulations for sunflower (early stages) using a model proposed by for the L Band; specifically, the frequency was set to that of the SAOCOM instruments (1.275 GHz).
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Soil
Backscattering
Sunflower
SAOCOM
L Band
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/140588
Acceder
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network_name_str SEDICI (UNLP)
spelling Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stagesMieza, M. SoledadFerrazzoli, PaoloCravero, Walter R.Kovac, Federico D.Ciencias InformáticasSoilBackscatteringSunflowerSAOCOML BandSAR backscattering coefficient (σ⁰) of crops depends on the operational frequency, polarization and incidence angle of the acquisition system, the dielectric behaviour of crops, and soil-related variables such as the volumetric moisture (mv) and its roughness. In SAR applications, surface roughness is usually characterized by two parameters: the standard deviation of the surface height to a reference height or rms height (s) and the autocorrelation length. The autocorrelation length, defined as the distance at which the correlation function drops to 1/e, describes the surface periodicity and indicates to what extent two separate points can be considered correlated. For crops in their early stages, soil characteristics play a crucial role in σ⁰ due to the low vegetation development. In this work, we present σ⁰ simulations for sunflower (early stages) using a model proposed by for the L Band; specifically, the frequency was set to that of the SAOCOM instruments (1.275 GHz).Sociedad Argentina de Informática e Investigación Operativa2021-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionResumenhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf52-53http://sedici.unlp.edu.ar/handle/10915/140588enginfo:eu-repo/semantics/altIdentifier/url/http://50jaiio.sadio.org.ar/pdfs/cai/CAI-09.pdfinfo:eu-repo/semantics/altIdentifier/issn/2525-0949info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:16:37Zoai:sedici.unlp.edu.ar:10915/140588Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:16:37.577SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stages
title Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stages
spellingShingle Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stages
Mieza, M. Soledad
Ciencias Informáticas
Soil
Backscattering
Sunflower
SAOCOM
L Band
title_short Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stages
title_full Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stages
title_fullStr Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stages
title_full_unstemmed Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stages
title_sort Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stages
dc.creator.none.fl_str_mv Mieza, M. Soledad
Ferrazzoli, Paolo
Cravero, Walter R.
Kovac, Federico D.
author Mieza, M. Soledad
author_facet Mieza, M. Soledad
Ferrazzoli, Paolo
Cravero, Walter R.
Kovac, Federico D.
author_role author
author2 Ferrazzoli, Paolo
Cravero, Walter R.
Kovac, Federico D.
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Soil
Backscattering
Sunflower
SAOCOM
L Band
topic Ciencias Informáticas
Soil
Backscattering
Sunflower
SAOCOM
L Band
dc.description.none.fl_txt_mv SAR backscattering coefficient (σ⁰) of crops depends on the operational frequency, polarization and incidence angle of the acquisition system, the dielectric behaviour of crops, and soil-related variables such as the volumetric moisture (mv) and its roughness. In SAR applications, surface roughness is usually characterized by two parameters: the standard deviation of the surface height to a reference height or rms height (s) and the autocorrelation length. The autocorrelation length, defined as the distance at which the correlation function drops to 1/e, describes the surface periodicity and indicates to what extent two separate points can be considered correlated. For crops in their early stages, soil characteristics play a crucial role in σ⁰ due to the low vegetation development. In this work, we present σ⁰ simulations for sunflower (early stages) using a model proposed by for the L Band; specifically, the frequency was set to that of the SAOCOM instruments (1.275 GHz).
Sociedad Argentina de Informática e Investigación Operativa
description SAR backscattering coefficient (σ⁰) of crops depends on the operational frequency, polarization and incidence angle of the acquisition system, the dielectric behaviour of crops, and soil-related variables such as the volumetric moisture (mv) and its roughness. In SAR applications, surface roughness is usually characterized by two parameters: the standard deviation of the surface height to a reference height or rms height (s) and the autocorrelation length. The autocorrelation length, defined as the distance at which the correlation function drops to 1/e, describes the surface periodicity and indicates to what extent two separate points can be considered correlated. For crops in their early stages, soil characteristics play a crucial role in σ⁰ due to the low vegetation development. In this work, we present σ⁰ simulations for sunflower (early stages) using a model proposed by for the L Band; specifically, the frequency was set to that of the SAOCOM instruments (1.275 GHz).
publishDate 2021
dc.date.none.fl_str_mv 2021-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Resumen
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/140588
url http://sedici.unlp.edu.ar/handle/10915/140588
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://50jaiio.sadio.org.ar/pdfs/cai/CAI-09.pdf
info:eu-repo/semantics/altIdentifier/issn/2525-0949
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/3.0/
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
dc.format.none.fl_str_mv application/pdf
52-53
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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