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...

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Autores principales:	Grings, Francisco Matías, Karszenbaum, Haydee, Tiffenberg, Javier, Kandus, Patricia
Publicado:	2005
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:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01962892_v43_n10_p2238_Grings 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	paper:paper_01962892_v43_n10_p2238_Grings
record_format	dspace
spelling	paper:paper_01962892_v43_n10_p2238_Grings2023-06-08T15:20:27Z Modeling temporal evolution of junco marshes radar signatures Grings, Francisco Matías Karszenbaum, Haydee Tiffenberg, Javier Kandus, Patricia 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. 2005 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01962892_v43_n10_p2238_Grings 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, Francisco Matías Karszenbaum, Haydee Tiffenberg, Javier Kandus, Patricia 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.
author	Grings, Francisco Matías Karszenbaum, Haydee Tiffenberg, Javier Kandus, Patricia
author_facet	Grings, Francisco Matías Karszenbaum, Haydee Tiffenberg, Javier Kandus, Patricia
author_sort	Grings, Francisco Matías
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
publishDate	2005
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01962892_v43_n10_p2238_Grings http://hdl.handle.net/20.500.12110/paper_01962892_v43_n10_p2238_Grings
work_keys_str_mv	AT gringsfranciscomatias modelingtemporalevolutionofjuncomarshesradarsignatures AT karszenbaumhaydee modelingtemporalevolutionofjuncomarshesradarsignatures AT tiffenbergjavier modelingtemporalevolutionofjuncomarshesradarsignatures AT kanduspatricia modelingtemporalevolutionofjuncomarshesradarsignatures
_version_	1768545185578352640

Modeling temporal evolution of junco marshes radar signatures

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