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TitreA rule-based method for mapping Canada's wetlands using optical, radar and DEM data
AuteurLi, J; Chen, W
SourceInternational Journal of Remote Sensing vol. 26, no. 22, 2005 p. 5051-5069, https://doi.org/10.1080/01431160500166516
Année2005
Séries alt.Secteur des sciences de la Terre, Contribution externe 20043289
ÉditeurInforma UK Limited
Documentpublication en série
Lang.anglais
DOIhttps://doi.org/10.1080/01431160500166516
Mediapapier; en ligne; numérique
Formatspdf
ProvinceOntario; Québec; Terre-Neuve-et-Labrador
Sujetstélédétection; techniques de cartographie; imagerie radar; terres humides; etudes de l'environnement; gestion des ressources; conservation; imagerie par satellite; satellite LANDSAT; tourbières aligotrophes; tourbières minérotrophes; marais; marais; topographie; types de paysage; types de terrain; eaux de surface; végétation; couverture du sol; Nature et environnement
Illustrationsflow charts; sketch maps; tables; satellite images
ProgrammeRéduire la vulnérabilité du Canada au changement climatique
ProgrammeAgence spatiale canadienne, le programme des Initiatives gouvernementales en observation de la Terre (IGOT)
Diffusé2011 03 04
Résumé(disponible en anglais seulement)
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 ID220091