Estimating flow resistance of wetlands using SAR images and interaction models
- Autores
- Salvia, M.; Franco, M.; Grings, F.; Perna, P.; Martino, R.; Karszenbaum, H.; Ferrazzoli, P.
- Año de publicación
- 2009
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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. - Fuente
- Remote Sens. 2009;1(4):992-1008
- Materia
-
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 - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/2.5/ar
- Repositorio
- Institución
- Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
- OAI Identificador
- paperaa:paper_20724292_v1_n4_p992_Salvia
Ver los metadatos del registro completo
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Estimating flow resistance of wetlands using SAR images and interaction modelsSalvia, M.Franco, M.Grings, F.Perna, P.Martino, R.Karszenbaum, H.Ferrazzoli, P.Marsh hydraulic conductivityMicrowave interaction modelSynthetic Aperture Radar (SAR)Wetland managementAncillary dataArgentinaBackscattering coefficientsFire eventFlow resistanceHerbaceous vegetationInteraction modelMarsh hydraulic conductivityMarsh vegetationMicrowave interaction modelRegional scaleRemote sensing dataRiver deltasSAR ImagesTest caseVegetation structureWetland managementBackscatteringDragDrag coefficientImaging systemsRemote sensingVegetationWetlandsSynthetic aperture radarThe 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.2009info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_20724292_v1_n4_p992_SalviaRemote Sens. 2009;1(4):992-1008reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2025-09-29T13:43:02Zpaperaa:paper_20724292_v1_n4_p992_SalviaInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-09-29 13:43:04.1Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse |
dc.title.none.fl_str_mv |
Estimating flow resistance of wetlands using SAR images and interaction models |
title |
Estimating flow resistance of wetlands using SAR images and interaction models |
spellingShingle |
Estimating flow resistance of wetlands using SAR images and interaction models Salvia, M. 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 |
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 |
dc.creator.none.fl_str_mv |
Salvia, M. Franco, M. Grings, F. Perna, P. Martino, R. Karszenbaum, H. Ferrazzoli, P. |
author |
Salvia, M. |
author_facet |
Salvia, M. Franco, M. Grings, F. Perna, P. Martino, R. Karszenbaum, H. Ferrazzoli, P. |
author_role |
author |
author2 |
Franco, M. Grings, F. Perna, P. Martino, R. Karszenbaum, H. Ferrazzoli, P. |
author2_role |
author author author author author author |
dc.subject.none.fl_str_mv |
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 |
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 |
dc.description.none.fl_txt_mv |
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. |
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. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12110/paper_20724292_v1_n4_p992_Salvia |
url |
http://hdl.handle.net/20.500.12110/paper_20724292_v1_n4_p992_Salvia |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/2.5/ar |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
Remote Sens. 2009;1(4):992-1008 reponame:Biblioteca Digital (UBA-FCEN) instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales instacron:UBA-FCEN |
reponame_str |
Biblioteca Digital (UBA-FCEN) |
collection |
Biblioteca Digital (UBA-FCEN) |
instname_str |
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales |
instacron_str |
UBA-FCEN |
institution |
UBA-FCEN |
repository.name.fl_str_mv |
Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales |
repository.mail.fl_str_mv |
ana@bl.fcen.uba.ar |
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1844618737754308608 |
score |
13.070432 |