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TitleMapping and monitoring flooded vegetation and soil moisture using simulated compact polarimetry
AuthorWhite, L; Landon, A; Dabboor, M; Pratt, A; Brisco, B
SourceProceedings, IGARSS 2014 and 35th Canadian Symposium of Remote Sensing; 2014 p. 1568-1571,
Alt SeriesEarth Sciences Sector, Contribution Series 20140254
MeetingIGARSS 2014 and 35th Canadian Symposium of Remote Sensing; Québec, QC; CA; July 13-18, 2014
Mediapaper; on-line; digital
File formatpdf
Subjectsenvironmental geology; geophysics; floods; wetlands; sediments; vegetation; radar imagery; radar methods; satellite imagery; remote sensing; modelling; soils; soil moisture; mapping techniques; Land cover
Illustrationstables; satellite images
ProgramRemote Sensing Science
Released2014 07 01
AbstractThis paper shows that the m-chi decomposition, the Shannon-Entropy model and the Wishart-Chernoff distance can be used to map and monitor wetlands. Areas which changed from flooded vegetation to non-flooded vegetation were accurately mapped using the m-chi decomposition, and areas that changed from saturated soil to unsaturated soil were visible with the Shannon-Entropy model. In addition,
the Wishart-Chernoff distance was able to map wetland areas which had changed to a different land cover type over time.
Summary(Plain Language Summary, not published)
Wetlands are one of Canada's most important resources. They provide food and shelter for a variety of wildlife, help offset hydrological events like floods and act as a filter for sediments and toxins. Flooded vegetation and soil moisture are two important components of a wetland. This study reports on the potential of a new and innovative mode which will be available on Canada's future RADARSAT Constellation Mission - specifically, compact polarimetry (CP) - to map and monitor flooded vegetation and soil moisture changes within wetlands. Three different models were applied to simulated CP data over a test site. The first was able to accurately map changes from flooded vegetation to non-flooded vegetation, the second was able to map wetland boundaries (saturated soil), while the third model proved promising as an initial identification of areas of high change within wetlands. A synergistic approach using all three models has utility for the mapping and monitoring of wetlands.

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