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Abstract:

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.

Registro:

Documento: Artículo
Título:Estimating flow resistance of wetlands using SAR images and interaction models
Autor:Salvia, M.; Franco, M.; Grings, F.; Perna, P.; Martino, R.; Karszenbaum, H.; Ferrazzoli, P.
Filiación:Instituto de Astronomía y Física del Espacio (IAFE), Ciudad Universitaria, 1428 Buenos Aires, Argentina
Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales (FCEyN), Dpto. de Física, Ciudad Universitaria, Pab. I, 1428 Buenos Aires, Argentina
Universidad de Buenos Aires, Facultad de Ingeniería (FIUBA), Grupo de Medios Porosos, Av. Paseo Colón 850, C1063ACV, Buenos Aires, Argentina
Università di Roma Tor Vergata, Facoltà di Ingegneria, Dipartimento di Informatica, Sistemi e Produzione (DISP), Via del Politecnico 1, 00133 Roma, Italy
Palabras clave: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
Año:2009
Volumen:1
Número:4
Página de inicio:992
Página de fin:1008
DOI: http://dx.doi.org/10.3390/rs1040992
Título revista:Remote Sensing
Título revista abreviado:Remote Sens.
ISSN:20724292
PDF:https://bibliotecadigital.exactas.uba.ar/download/paper/paper_20724292_v1_n4_p992_Salvia.pdf
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20724292_v1_n4_p992_Salvia

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Citas:

---------- APA ----------
Salvia, M., Franco, M., Grings, F., Perna, P., Martino, R., Karszenbaum, H. & Ferrazzoli, P. (2009) . Estimating flow resistance of wetlands using SAR images and interaction models. Remote Sensing, 1(4), 992-1008.
http://dx.doi.org/10.3390/rs1040992
---------- CHICAGO ----------
Salvia, M., Franco, M., Grings, F., Perna, P., Martino, R., Karszenbaum, H., et al. "Estimating flow resistance of wetlands using SAR images and interaction models" . Remote Sensing 1, no. 4 (2009) : 992-1008.
http://dx.doi.org/10.3390/rs1040992
---------- MLA ----------
Salvia, M., Franco, M., Grings, F., Perna, P., Martino, R., Karszenbaum, H., et al. "Estimating flow resistance of wetlands using SAR images and interaction models" . Remote Sensing, vol. 1, no. 4, 2009, pp. 992-1008.
http://dx.doi.org/10.3390/rs1040992
---------- VANCOUVER ----------
Salvia, M., Franco, M., Grings, F., Perna, P., Martino, R., Karszenbaum, H., et al. Estimating flow resistance of wetlands using SAR images and interaction models. Remote Sens. 2009;1(4):992-1008.
http://dx.doi.org/10.3390/rs1040992