Modeling temporal evolution of junco marshes radar signatures

In this work, multitemporal synthetic aperture radar (SAR) data in conjunction with an electromagnetic (EM) model and a vegetation growth model were used to monitor and explain burn-regrowth events of junco vegetation in a wetland environment. The data used were from Radarsat-1, ENVISAT Advanced Syn...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Grings, F., Ferrazzoli, P., Karszenbaum, H., Tiffenberg, J., Kandus, P., Guerriero, L., Jacobo-Berrles, J.C.
Formato: JOUR
Materias:
Electromagnetic (EM) models
Radar
Wetlands
Vegetation growth model
Computer simulation
Data acquisition
Magnetoelectric effects
Mathematical models
Remote sensing
Synthetic aperture radar
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01962892_v43_n10_p2238_Grings
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_01962892_v43_n10_p2238_Grings
record_format dspace
spelling todo:paper_01962892_v43_n10_p2238_Grings2023-10-03T15:09:42Z Modeling temporal evolution of junco marshes radar signatures Grings, F. Ferrazzoli, P. Karszenbaum, H. Tiffenberg, J. Kandus, P. Guerriero, L. Jacobo-Berrles, J.C. Electromagnetic (EM) models Radar Wetlands Electromagnetic (EM) models Vegetation growth model Computer simulation Data acquisition Magnetoelectric effects Mathematical models Remote sensing Wetlands Synthetic aperture radar In this work, multitemporal synthetic aperture radar (SAR) data in conjunction with an electromagnetic (EM) model and a vegetation growth model were used to monitor and explain burn-regrowth events of junco vegetation in a wetland environment. The data used were from Radarsat-1, ENVISAT Advanced Synthetic Aperture Radar (ASAR), and European Remote Sensing 2 (ERS-2) temporal series. The EM model is based on radiative transfer theory and describes junco vegetation as a set of vertical dielectric cylinders on a flat flooded surface. It was used, together with the vegetation growth model, to predict the temporal evolution of the radar response during a burn-regrowth event. This simulation was compared with the ERS-2 vertical (VV) data. It was observed a "bell-shaped" temporal trend that was confirmed by the simulated data with a mean error of 2.5 dB. Additionally, in view of current and future ENVISAT ASAR Alternating Polarization Mode Precision data, the horizontal (HH) SAR temporal response was also simulated giving as a result strong differences between simulated HH and VV temporal trends. These differences are in good agreement with the ones observed between Radarsat-1 HH and ERS-2 VV SAR data acquired at close dates and also with the same differences observed between HH and VV ENVISAT ASAR data. Electromagnetic modeling results provide a sound theoretical interpretation of these observations. © 2005 IEEE. Fil:Grings, F. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Karszenbaum, H. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Tiffenberg, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Kandus, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_01962892_v43_n10_p2238_Grings
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Electromagnetic (EM) models
Radar
Wetlands
Electromagnetic (EM) models
Vegetation growth model
Computer simulation
Data acquisition
Magnetoelectric effects
Mathematical models
Remote sensing
Wetlands
Synthetic aperture radar
spellingShingle Electromagnetic (EM) models
Radar
Wetlands
Electromagnetic (EM) models
Vegetation growth model
Computer simulation
Data acquisition
Magnetoelectric effects
Mathematical models
Remote sensing
Wetlands
Synthetic aperture radar
Grings, F.
Ferrazzoli, P.
Karszenbaum, H.
Tiffenberg, J.
Kandus, P.
Guerriero, L.
Jacobo-Berrles, J.C.
Modeling temporal evolution of junco marshes radar signatures
topic_facet Electromagnetic (EM) models
Radar
Wetlands
Electromagnetic (EM) models
Vegetation growth model
Computer simulation
Data acquisition
Magnetoelectric effects
Mathematical models
Remote sensing
Wetlands
Synthetic aperture radar
description In this work, multitemporal synthetic aperture radar (SAR) data in conjunction with an electromagnetic (EM) model and a vegetation growth model were used to monitor and explain burn-regrowth events of junco vegetation in a wetland environment. The data used were from Radarsat-1, ENVISAT Advanced Synthetic Aperture Radar (ASAR), and European Remote Sensing 2 (ERS-2) temporal series. The EM model is based on radiative transfer theory and describes junco vegetation as a set of vertical dielectric cylinders on a flat flooded surface. It was used, together with the vegetation growth model, to predict the temporal evolution of the radar response during a burn-regrowth event. This simulation was compared with the ERS-2 vertical (VV) data. It was observed a "bell-shaped" temporal trend that was confirmed by the simulated data with a mean error of 2.5 dB. Additionally, in view of current and future ENVISAT ASAR Alternating Polarization Mode Precision data, the horizontal (HH) SAR temporal response was also simulated giving as a result strong differences between simulated HH and VV temporal trends. These differences are in good agreement with the ones observed between Radarsat-1 HH and ERS-2 VV SAR data acquired at close dates and also with the same differences observed between HH and VV ENVISAT ASAR data. Electromagnetic modeling results provide a sound theoretical interpretation of these observations. © 2005 IEEE.
format JOUR
author Grings, F.
Ferrazzoli, P.
Karszenbaum, H.
Tiffenberg, J.
Kandus, P.
Guerriero, L.
Jacobo-Berrles, J.C.
author_facet Grings, F.
Ferrazzoli, P.
Karszenbaum, H.
Tiffenberg, J.
Kandus, P.
Guerriero, L.
Jacobo-Berrles, J.C.
author_sort Grings, F.
title Modeling temporal evolution of junco marshes radar signatures
title_short Modeling temporal evolution of junco marshes radar signatures
title_full Modeling temporal evolution of junco marshes radar signatures
title_fullStr Modeling temporal evolution of junco marshes radar signatures
title_full_unstemmed Modeling temporal evolution of junco marshes radar signatures
title_sort modeling temporal evolution of junco marshes radar signatures
url http://hdl.handle.net/20.500.12110/paper_01962892_v43_n10_p2238_Grings
work_keys_str_mv AT gringsf modelingtemporalevolutionofjuncomarshesradarsignatures
AT ferrazzolip modelingtemporalevolutionofjuncomarshesradarsignatures
AT karszenbaumh modelingtemporalevolutionofjuncomarshesradarsignatures
AT tiffenbergj modelingtemporalevolutionofjuncomarshesradarsignatures
AT kandusp modelingtemporalevolutionofjuncomarshesradarsignatures
AT guerrierol modelingtemporalevolutionofjuncomarshesradarsignatures
AT jacoboberrlesjc modelingtemporalevolutionofjuncomarshesradarsignatures
_version_ 1807321034848731136

Ejemplares similares