DocumentCode :
882644
Title :
Monitoring flood condition in marshes using EM models and Envisat ASAR observations
Author :
Grings, Francisco M. ; Ferrazzoli, Paolo ; Jacobo-Berlles, Julio C. ; Karszenbaum, Haydee ; Tiffenberg, Javier ; Pratolongo, Paula ; Kandus, Patricia
Author_Institution :
Inst. de Astronomia y Fisica del Espacio, Ciudad Univ., Buenos Aires, Argentina
Volume :
44
Issue :
4
fYear :
2006
fDate :
4/1/2006 12:00:00 AM
Firstpage :
936
Lastpage :
942
Abstract :
This paper discusses the contribution of multipolarization radar data in monitoring flooding events in wetland areas of the Delta of the Parana´ 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).
Keywords :
floods; hydrological techniques; radar polarimetry; radiative transfer; remote sensing by radar; synthetic aperture radar; vegetation mapping; Argentina; Envisat ASAR observations; Parana River delta; advanced synthetic aperture radar; biomass; cortadera marsh; flood condition monitoring; flooded marshes; flooding event monitoring; junco marsh; marsh structures; multipolarization radar data; radar response; radiative transfer model simulation; randomly oriented discs; vegetation-dependent flooding prediction; vertical cylinders; wetland areas; Backscatter; Condition monitoring; Floods; Jacobian matrices; Polarization; Radar imaging; Rivers; Spaceborne radar; Synthetic aperture radar; Vegetation; Flood monitoring; modeling; radar; wetlands;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2005.863482
Filename :
1610829
Link To Document :
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