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

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...

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Autores principales: Mieza, M. Soledad, Ferrazzoli, Paolo, Cravero, Walter R., Kovac, Federico D.
Formato: Objeto de conferencia Resumen
Lenguaje:Inglés
Publicado: 2021
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/140588
http://50jaiio.sadio.org.ar/pdfs/cai/CAI-09.pdf
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id I19-R120-10915-140588
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Soil
Backscattering
Sunflower
SAOCOM
L Band
spellingShingle Ciencias Informáticas
Soil
Backscattering
Sunflower
SAOCOM
L Band
Mieza, M. Soledad
Ferrazzoli, Paolo
Cravero, Walter R.
Kovac, Federico D.
Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stages
topic_facet Ciencias Informáticas
Soil
Backscattering
Sunflower
SAOCOM
L Band
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).
format Objeto de conferencia
Resumen
author Mieza, M. Soledad
Ferrazzoli, Paolo
Cravero, Walter R.
Kovac, Federico D.
author_facet Mieza, M. Soledad
Ferrazzoli, Paolo
Cravero, Walter R.
Kovac, Federico D.
author_sort Mieza, M. Soledad
title Influence of soil variables at the L Band: backscattering coefficient simulations for sunflower in early stages
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
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/140588
http://50jaiio.sadio.org.ar/pdfs/cai/CAI-09.pdf
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AT craverowalterr influenceofsoilvariablesatthelbandbackscatteringcoefficientsimulationsforsunflowerinearlystages
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