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TitleA rule-based method for mapping Canada's wetlands using optical, radar and DEM data
AuthorLi, J; Chen, W
SourceInternational Journal of Remote Sensing vol. 26, no. 22, 2005 p. 5051-5069, https://doi.org/10.1080/01431160500166516
Year2005
Alt SeriesEarth Sciences Sector, Contribution Series 20043289
PublisherInforma UK Limited
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
ProvinceOntario; Quebec; Newfoundland and Labrador
AreaOttawa; Mer Bleue; Lac Saint-Pierre; St. Lawrence River; Goose Bay; Happy Valley; Labrador
SubjectsNature and Environment; remote sensing; mapping techniques; radar imagery; wetlands; environmental studies; resource management; conservation; satellite imagery; LANDSAT; bogs; fens; marshes; swamps; topography; landscape types; terrain types; surface waters; vegetation; digital elevation models; optical data; synthetic aperture radar (SAR); land cover; decision trees; backscatter
Illustrationsflow charts; sketch maps; tables; satellite images
ProgramReducing Canada's Vulnerability to Climate Change
ProgramCanadian Space Agency, Government Related Initiative Program (GRIP)
Released2011 03 04
AbstractUp-to-date information on the distribution and change associated with wetlands are essential for their effective conservation and management. Satellite remote sensing is arguably the only practical way for mapping wetland in a timely manner over a large area, and therefore has been chosen by the Canada's National Wetland Inventory (NWI) initiative and Environment and Sustainable Development Indicators (ESDI) initiative for the extends of wetland indicator. As a contribution to these initiatives, this paper presents a rule-based wetland mapping method using Landsat-7/ETM+, two-season Radarsat-1/SAR images, and DEM data. Three study sites in eastern Canada have been chosen to test this new method. The testing results indicate that the classification accuracy of the new method ranges 79-92%, for open bog, open fen, treed bog, marsh, and swamp at the three sites. In comparison, two traditional methods based on Landsat-7/ETM+ or both Landsat-7/ETM+ and Radarsat-1/SAR have accuracies of 24-89% and 78-85% respectively.
GEOSCAN ID220091