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Multi-temporal RADARSAT-1 and ERS backscattering signatures of coastal wetlands in southeastern louisiana

Photogrammetric Engineering and Remote Sensing

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Abstract

Using multi-temporal European Remote-sensing Satellites (BBS-1/-2) and Canadian Radar Satellite (RADARSAT-i) synthetic aperture radar (sar) data over the Louisiana coastal zone, we characterize seasonal variations of radar backscattering according to vegetation type. Our main findings are as follows. First, ERS-1/-2 and RADARSAT-i require careful radiometric calibration to perform multi-temporal backscattering analysis for wetland mapping. We use SAR backscattering signals from cities for the relative calibration. Second, using seasonally averaged backscattering coefficients from ERS-1/-2 and RADARSAT-i, we can differentiate most forests (bottomland and swamp forests) and marshes (freshwater, intermediate, brackish, and saline marshes) in coastal wetlands. The student t-test results support the usefulness of season-averaged backscatter data for classification. Third, combining SAR backscattering coefficients and an optical-sensor-based normalized difference vegetation index can provide further insight into vegetation type and enhance the separation between forests and marshes. Our study demonstrates that sar can provide necessary information to characterize coastal wetlands and monitor their changes. ?? 2009 American Society for Photogrammetry and Remote Sensing.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Multi-temporal RADARSAT-1 and ERS backscattering signatures of coastal wetlands in southeastern louisiana
Series title:
Photogrammetric Engineering and Remote Sensing
Volume
75
Issue:
5
Year Published:
2009
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Photogrammetric Engineering and Remote Sensing
First page:
607
Last page:
617