Monitoring flood condition in marshes using em models and envisat ASAR observations

Mostrar todas las versiones(2)

This paper discusses the contribution of multipolarization radar data in monitoring flooding events in wetland areas of the Delta of the Paraná River, in Argentina. The discussion is based on the comparison between radiative transfer model simulations and ENVISAT Advanced Synthetic Aperture Radar ob...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Grings, Francisco Matías, Jacobo Berlles, Julio C. A., Karszenbaum, Haydee, Tiffenberg, Javier, Pratolongo, Paula Daniela, Kandus, Patricia
Publicado: 2006
Materias:
Flood monitoring
Modeling
Radar
Wetlands
Nonflooded conditions
Radiative transfer models
Biomass
Computer simulation
Data reduction
Heat transfer
Flood control
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01962892_v44_n4_p936_Grings
http://hdl.handle.net/20.500.12110/paper_01962892_v44_n4_p936_Grings
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_01962892_v44_n4_p936_Grings
record_format dspace
spelling paper:paper_01962892_v44_n4_p936_Grings2023-06-08T15:20:27Z Monitoring flood condition in marshes using em models and envisat ASAR observations Grings, Francisco Matías Jacobo Berlles, Julio C. A. Karszenbaum, Haydee Tiffenberg, Javier Pratolongo, Paula Daniela Kandus, Patricia Flood monitoring Modeling Radar Wetlands Flood monitoring Modeling Nonflooded conditions Radiative transfer models Biomass Computer simulation Data reduction Heat transfer Radar Wetlands Flood control This paper discusses the contribution of multipolarization radar data in monitoring flooding events in wetland areas of the Delta of the Paraná River, in Argentina. The discussion is based on the comparison between radiative transfer model simulations and ENVISAT Advanced Synthetic Aperture Radar observations of two types of marshes: junco and cortadera. When these marshes are flooded, the radar response changes significantly. The differences in radar response between the flooded and nonflooded condition can be related to changes in the amount of emerged biomass. Based on this, we propose a vegetation-dependent flooding prediction scheme for two marsh structures: nearly vertical cylinders (junco-like) and randomly oriented discs (cortadera-like). © 2006 IEEE. Fil:Grings, F.M. 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: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:Pratolongo, P. 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. 2006 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01962892_v44_n4_p936_Grings http://hdl.handle.net/20.500.12110/paper_01962892_v44_n4_p936_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 Flood monitoring
Modeling
Radar
Wetlands
Flood monitoring
Modeling
Nonflooded conditions
Radiative transfer models
Biomass
Computer simulation
Data reduction
Heat transfer
Radar
Wetlands
Flood control
spellingShingle Flood monitoring
Modeling
Radar
Wetlands
Flood monitoring
Modeling
Nonflooded conditions
Radiative transfer models
Biomass
Computer simulation
Data reduction
Heat transfer
Radar
Wetlands
Flood control
Grings, Francisco Matías
Jacobo Berlles, Julio C. A.
Karszenbaum, Haydee
Tiffenberg, Javier
Pratolongo, Paula Daniela
Kandus, Patricia
Monitoring flood condition in marshes using em models and envisat ASAR observations
topic_facet Flood monitoring
Modeling
Radar
Wetlands
Flood monitoring
Modeling
Nonflooded conditions
Radiative transfer models
Biomass
Computer simulation
Data reduction
Heat transfer
Radar
Wetlands
Flood control
description This paper discusses the contribution of multipolarization radar data in monitoring flooding events in wetland areas of the Delta of the Paraná River, in Argentina. The discussion is based on the comparison between radiative transfer model simulations and ENVISAT Advanced Synthetic Aperture Radar observations of two types of marshes: junco and cortadera. When these marshes are flooded, the radar response changes significantly. The differences in radar response between the flooded and nonflooded condition can be related to changes in the amount of emerged biomass. Based on this, we propose a vegetation-dependent flooding prediction scheme for two marsh structures: nearly vertical cylinders (junco-like) and randomly oriented discs (cortadera-like). © 2006 IEEE.
author Grings, Francisco Matías
Jacobo Berlles, Julio C. A.
Karszenbaum, Haydee
Tiffenberg, Javier
Pratolongo, Paula Daniela
Kandus, Patricia
author_facet Grings, Francisco Matías
Jacobo Berlles, Julio C. A.
Karszenbaum, Haydee
Tiffenberg, Javier
Pratolongo, Paula Daniela
Kandus, Patricia
author_sort Grings, Francisco Matías
title Monitoring flood condition in marshes using em models and envisat ASAR observations
title_short Monitoring flood condition in marshes using em models and envisat ASAR observations
title_full Monitoring flood condition in marshes using em models and envisat ASAR observations
title_fullStr Monitoring flood condition in marshes using em models and envisat ASAR observations
title_full_unstemmed Monitoring flood condition in marshes using em models and envisat ASAR observations
title_sort monitoring flood condition in marshes using em models and envisat asar observations
publishDate 2006
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01962892_v44_n4_p936_Grings
http://hdl.handle.net/20.500.12110/paper_01962892_v44_n4_p936_Grings
work_keys_str_mv AT gringsfranciscomatias monitoringfloodconditioninmarshesusingemmodelsandenvisatasarobservations
AT jacoboberllesjulioca monitoringfloodconditioninmarshesusingemmodelsandenvisatasarobservations
AT karszenbaumhaydee monitoringfloodconditioninmarshesusingemmodelsandenvisatasarobservations
AT tiffenbergjavier monitoringfloodconditioninmarshesusingemmodelsandenvisatasarobservations
AT pratolongopauladaniela monitoringfloodconditioninmarshesusingemmodelsandenvisatasarobservations
AT kanduspatricia monitoringfloodconditioninmarshesusingemmodelsandenvisatasarobservations
_version_ 1768544548398563328

Ejemplares similares