| Title | A rule-based method for mapping Canada's wetlands using optical, radar and DEM data |
| |
| Author | Li, J; Chen, W |
| Source | International Journal of Remote Sensing vol. 26, no. 22, 2005 p. 5051-5069, https://doi.org/10.1080/01431160500166516 |
| Year | 2005 |
| Alt Series | Earth Sciences Sector, Contribution Series 20043289 |
| Publisher | Informa UK Limited |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Province | Ontario; Quebec; Newfoundland and Labrador |
| Area | Ottawa; Mer Bleue; Lac Saint-Pierre; St. Lawrence River; Goose Bay; Happy Valley; Labrador |
| Subjects | Nature 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; Land cover |
| Illustrations | flow charts; sketch maps; tables; satellite images |
| Program | Reducing Canada's Vulnerability to Climate Change
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| Program | Canadian Space Agency, Government Related
Initiative Program (GRIP) |
| Released | 2011 03 04 |
| Abstract | Up-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 ID | 220091 |
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