| Titre | A rule-based method for mapping Canada's wetlands using optical, radar and DEM data |
| |
| Auteur | Li, J; Chen, W |
| Source | International Journal of Remote Sensing vol. 26, no. 22, 2005 p. 5051-5069, https://doi.org/10.1080/01431160500166516 |
| Année | 2005 |
| Séries alt. | Secteur des sciences de la Terre, Contribution externe 20043289 |
| Éditeur | Informa UK Limited |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.1080/01431160500166516 |
| Media | papier; en ligne; numérique |
| Formats | pdf |
| Province | Ontario; Québec; Terre-Neuve-et-Labrador |
| Région | Ottawa; Mer Bleue; Lac Saint-Pierre; Fleuve Saint-Laurent; Goose Bay; Happy Valley; Labrador |
| Sujets | télédétection; 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 |
| Illustrations | organigrammes; croquis cartographiques; tableaux; images satellitaires |
| Programme | Réduire la vulnérabilité du Canada au
changement climatique |
| Programme | Agence spatiale canadienne, le programme des Initiatives gouvernementales en observation de la Terre (IGOT) |
| Diffusé | 2011 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 ID | 220091 |
|
|