Estimating flow resistance of wetlands using SAR images and interaction models

The inability to monitor wetland drag coefficients at a regional scale is rooted in the difficulty to determine vegetation structure from remote sensing data. Based on the fact that the backscattering coefficient is sensitive to marsh vegetation structure, this paper presents a methodology to estima...

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Autores principales: Salvia, Maria Mercedes, Grings, Francisco Matías, Perna, Pablo Alejandro, Karszenbaum, Haydee
Publicado: 2009
Materias:
Marsh hydraulic conductivity
Microwave interaction model
Synthetic Aperture Radar (SAR)
Wetland management
Ancillary data
Argentina
Backscattering coefficients
Fire event
Flow resistance
Herbaceous vegetation
Interaction model
Marsh vegetation
Regional scale
Remote sensing data
River deltas
SAR Images
Test case
Vegetation structure
Backscattering
Drag
Drag coefficient
Imaging systems
Remote sensing
Vegetation
Wetlands
Synthetic aperture radar
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20724292_v1_n4_p992_Salvia
http://hdl.handle.net/20.500.12110/paper_20724292_v1_n4_p992_Salvia
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_20724292_v1_n4_p992_Salvia
record_format dspace
spelling paper:paper_20724292_v1_n4_p992_Salvia2023-06-08T16:34:09Z Estimating flow resistance of wetlands using SAR images and interaction models Salvia, Maria Mercedes Grings, Francisco Matías Perna, Pablo Alejandro Karszenbaum, Haydee Marsh hydraulic conductivity Microwave interaction model Synthetic Aperture Radar (SAR) Wetland management Ancillary data Argentina Backscattering coefficients Fire event Flow resistance Herbaceous vegetation Interaction model Marsh hydraulic conductivity Marsh vegetation Microwave interaction model Regional scale Remote sensing data River deltas SAR Images Test case Vegetation structure Wetland management Backscattering Drag Drag coefficient Imaging systems Remote sensing Vegetation Wetlands Synthetic aperture radar The inability to monitor wetland drag coefficients at a regional scale is rooted in the difficulty to determine vegetation structure from remote sensing data. Based on the fact that the backscattering coefficient is sensitive to marsh vegetation structure, this paper presents a methodology to estimate the drag coefficient from a combination of SAR images, interaction models and ancillary data. We use as test case a severe fire event occurred in the Paraná River Delta (Argentina) at the beginning of 2008, when 10% of the herbaceous vegetation was burned up. A map of the reduction of the wetland drag coefficient is presented. © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. Fil:Salvia, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Grings, F. 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. Fil:Karszenbaum, H. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2009 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20724292_v1_n4_p992_Salvia http://hdl.handle.net/20.500.12110/paper_20724292_v1_n4_p992_Salvia
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Marsh hydraulic conductivity
Microwave interaction model
Synthetic Aperture Radar (SAR)
Wetland management
Ancillary data
Argentina
Backscattering coefficients
Fire event
Flow resistance
Herbaceous vegetation
Interaction model
Marsh hydraulic conductivity
Marsh vegetation
Microwave interaction model
Regional scale
Remote sensing data
River deltas
SAR Images
Test case
Vegetation structure
Wetland management
Backscattering
Drag
Drag coefficient
Imaging systems
Remote sensing
Vegetation
Wetlands
Synthetic aperture radar
spellingShingle Marsh hydraulic conductivity
Microwave interaction model
Synthetic Aperture Radar (SAR)
Wetland management
Ancillary data
Argentina
Backscattering coefficients
Fire event
Flow resistance
Herbaceous vegetation
Interaction model
Marsh hydraulic conductivity
Marsh vegetation
Microwave interaction model
Regional scale
Remote sensing data
River deltas
SAR Images
Test case
Vegetation structure
Wetland management
Backscattering
Drag
Drag coefficient
Imaging systems
Remote sensing
Vegetation
Wetlands
Synthetic aperture radar
Salvia, Maria Mercedes
Grings, Francisco Matías
Perna, Pablo Alejandro
Karszenbaum, Haydee
Estimating flow resistance of wetlands using SAR images and interaction models
topic_facet Marsh hydraulic conductivity
Microwave interaction model
Synthetic Aperture Radar (SAR)
Wetland management
Ancillary data
Argentina
Backscattering coefficients
Fire event
Flow resistance
Herbaceous vegetation
Interaction model
Marsh hydraulic conductivity
Marsh vegetation
Microwave interaction model
Regional scale
Remote sensing data
River deltas
SAR Images
Test case
Vegetation structure
Wetland management
Backscattering
Drag
Drag coefficient
Imaging systems
Remote sensing
Vegetation
Wetlands
Synthetic aperture radar
description The inability to monitor wetland drag coefficients at a regional scale is rooted in the difficulty to determine vegetation structure from remote sensing data. Based on the fact that the backscattering coefficient is sensitive to marsh vegetation structure, this paper presents a methodology to estimate the drag coefficient from a combination of SAR images, interaction models and ancillary data. We use as test case a severe fire event occurred in the Paraná River Delta (Argentina) at the beginning of 2008, when 10% of the herbaceous vegetation was burned up. A map of the reduction of the wetland drag coefficient is presented. © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.
author Salvia, Maria Mercedes
Grings, Francisco Matías
Perna, Pablo Alejandro
Karszenbaum, Haydee
author_facet Salvia, Maria Mercedes
Grings, Francisco Matías
Perna, Pablo Alejandro
Karszenbaum, Haydee
author_sort Salvia, Maria Mercedes
title Estimating flow resistance of wetlands using SAR images and interaction models
title_short Estimating flow resistance of wetlands using SAR images and interaction models
title_full Estimating flow resistance of wetlands using SAR images and interaction models
title_fullStr Estimating flow resistance of wetlands using SAR images and interaction models
title_full_unstemmed Estimating flow resistance of wetlands using SAR images and interaction models
title_sort estimating flow resistance of wetlands using sar images and interaction models
publishDate 2009
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20724292_v1_n4_p992_Salvia
http://hdl.handle.net/20.500.12110/paper_20724292_v1_n4_p992_Salvia
work_keys_str_mv AT salviamariamercedes estimatingflowresistanceofwetlandsusingsarimagesandinteractionmodels
AT gringsfranciscomatias estimatingflowresistanceofwetlandsusingsarimagesandinteractionmodels
AT pernapabloalejandro estimatingflowresistanceofwetlandsusingsarimagesandinteractionmodels
AT karszenbaumhaydee estimatingflowresistanceofwetlandsusingsarimagesandinteractionmodels
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