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TitreMedium-resolution land cover information from SPOT 4-5 across the subarctic treeline, Great Slave region, NWT
AuteurOlthof, I; Latifovic, R; Wolfe, S A; Fraser, R
Source39th Annual Yellowknife Geoscience Forum, abstracts of talks and posters; par Fischer, B J; Watson, D M; Northwest Territories Geoscience Office, Yellowknife Geoscience Forum Abstracts Volume vol. 2011, 2011 p. 116
LiensOnline - En ligne
Année2011
Séries alt.Secteur des sciences de la Terre, Contribution externe 20110212
RéunionYellowknife NWT Geoscience Forum; Yellowknife; CA; Novembre 15-17, 2011
Documentpublication en série
Lang.anglais
Mediapapier
Formatspdf
ProvinceTerritoires du Nord-Ouest
Sujetstélédétection; satellites; imagerie par satellite; végétation; géophysique
ProgrammeGestionn aire de programme - sciences de changements climatiques, Géosciences de changements climatiques
Résumé(disponible en anglais seulement)
The taiga-tundra ecotone represents a vast area where open forests transition to treeless tundra vegetation. This ecotone is of interest to climate research due to predicted climate-driven treeline advances and the fact that the area serves as a gateway to vast economic resources in the Arctic. Because this ecotone contains transitions from forest to tundra and from discontinuous to continuous permafrost, a small amount of climate warming may potentially produce significant changes to both soils and vegetation, presenting challenges for infrastructure development and maintenance. Baseline geospatial information at an appropriate scale for maintaining and planning current and future development is presently lacking over this ecotone. As part of the Great Slave TRACS (Transportation Risk in the Arctic to Climatic Sensitivity) project, we present methods used to generate baseline land cover and vegetation information across the taiga shield ecozone. Methods developed at the Canada Centre for Remote Sensing (CCRS) to balance radiometry of large-area medium resolution satellite image mosaics are illustrated. Reference data collected north of Yellowknife in the summer of 2011 are shown, along with classification methods and initial results. This initiative further assists in completing a national scale mapping effort using 20 m resolution SPOT 4-5 satellite data.
GEOSCAN ID289283