Model investigation about the potential of C band SAR in herbaceous wetlands flood monitoring
Wetlands are areas where the presence of water at or near the soil surface drives the natural system. Imaging radars (SARs) have distinct characteristics which make them of significant value for monitoring and mapping wetland inundation dynamics. The presence or absence of water (which has a much hi...
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todo:paper_01431161_v29_n17-18_p5361_Grings2023-10-03T14:59:15Z Model investigation about the potential of C band SAR in herbaceous wetlands flood monitoring Grings, F.M. Ferrazzoli, P. Karszenbaum, H. Salvia, M. Kandus, P. Jacobo-Berlles, J.C. Perna, P. Digital storage Floods Remote sensing Synthetic aperture radar Vegetation Water levels Environmental conditions Forward simulation Multi-polarization Presence of water Research efforts Retrieval applications Wave interactions Wetland vegetation Wetlands Wetlands are areas where the presence of water at or near the soil surface drives the natural system. Imaging radars (SARs) have distinct characteristics which make them of significant value for monitoring and mapping wetland inundation dynamics. The presence or absence of water (which has a much higher dielectric constant than dry or wet soil) in wetlands may significantly alter the signal detected from these areas depending on the dominant vegetation type, density, and height. The objective of this paper is to present our current research efforts to explain and correctly simulate the radar response of wetland vegetation/inundation mixtures, and use simulations as an aid for retrieval applications. The radar response of junco marshes under different flood conditions and vegetation stages is analysed using a set of 13 multipolarization ENVISAT ASAR scenes acquired over the ParanáRiver Delta marshes during the period 2003-2005. The main aspect of the approach followed is the simulation of SAR wave interactions with vegetation and water, using an adapted and improved version of the EM model developed at Tor Vergata University. The results obtained indicate that with the refined EM model, it is possible to represent with a good accuracy VV and HH SAR responses of junco marshes for a variety of environmental conditions. Further work and data are needed to explain measured HV backscattering. The general agreement obtained between simulations and observations permitted the development of a simple retrieval scheme, and estimates of water level below the canopy were obtained for different environmental conditions. RMS errors of forward simulations and retrievals are reported and discussed. © 2008 Taylor & Francis. Fil:Grings, F.M. 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:Salvia, M. 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. Fil:Jacobo-Berlles, J.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Perna, 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_01431161_v29_n17-18_p5361_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 |
Digital storage Floods Remote sensing Synthetic aperture radar Vegetation Water levels Environmental conditions Forward simulation Multi-polarization Presence of water Research efforts Retrieval applications Wave interactions Wetland vegetation Wetlands |
spellingShingle |
Digital storage Floods Remote sensing Synthetic aperture radar Vegetation Water levels Environmental conditions Forward simulation Multi-polarization Presence of water Research efforts Retrieval applications Wave interactions Wetland vegetation Wetlands Grings, F.M. Ferrazzoli, P. Karszenbaum, H. Salvia, M. Kandus, P. Jacobo-Berlles, J.C. Perna, P. Model investigation about the potential of C band SAR in herbaceous wetlands flood monitoring |
topic_facet |
Digital storage Floods Remote sensing Synthetic aperture radar Vegetation Water levels Environmental conditions Forward simulation Multi-polarization Presence of water Research efforts Retrieval applications Wave interactions Wetland vegetation Wetlands |
description |
Wetlands are areas where the presence of water at or near the soil surface drives the natural system. Imaging radars (SARs) have distinct characteristics which make them of significant value for monitoring and mapping wetland inundation dynamics. The presence or absence of water (which has a much higher dielectric constant than dry or wet soil) in wetlands may significantly alter the signal detected from these areas depending on the dominant vegetation type, density, and height. The objective of this paper is to present our current research efforts to explain and correctly simulate the radar response of wetland vegetation/inundation mixtures, and use simulations as an aid for retrieval applications. The radar response of junco marshes under different flood conditions and vegetation stages is analysed using a set of 13 multipolarization ENVISAT ASAR scenes acquired over the ParanáRiver Delta marshes during the period 2003-2005. The main aspect of the approach followed is the simulation of SAR wave interactions with vegetation and water, using an adapted and improved version of the EM model developed at Tor Vergata University. The results obtained indicate that with the refined EM model, it is possible to represent with a good accuracy VV and HH SAR responses of junco marshes for a variety of environmental conditions. Further work and data are needed to explain measured HV backscattering. The general agreement obtained between simulations and observations permitted the development of a simple retrieval scheme, and estimates of water level below the canopy were obtained for different environmental conditions. RMS errors of forward simulations and retrievals are reported and discussed. © 2008 Taylor & Francis. |
format |
JOUR |
author |
Grings, F.M. Ferrazzoli, P. Karszenbaum, H. Salvia, M. Kandus, P. Jacobo-Berlles, J.C. Perna, P. |
author_facet |
Grings, F.M. Ferrazzoli, P. Karszenbaum, H. Salvia, M. Kandus, P. Jacobo-Berlles, J.C. Perna, P. |
author_sort |
Grings, F.M. |
title |
Model investigation about the potential of C band SAR in herbaceous wetlands flood monitoring |
title_short |
Model investigation about the potential of C band SAR in herbaceous wetlands flood monitoring |
title_full |
Model investigation about the potential of C band SAR in herbaceous wetlands flood monitoring |
title_fullStr |
Model investigation about the potential of C band SAR in herbaceous wetlands flood monitoring |
title_full_unstemmed |
Model investigation about the potential of C band SAR in herbaceous wetlands flood monitoring |
title_sort |
model investigation about the potential of c band sar in herbaceous wetlands flood monitoring |
url |
http://hdl.handle.net/20.500.12110/paper_01431161_v29_n17-18_p5361_Grings |
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