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TitleMedium-resolution land cover information from SPOT 4-5 across the subarctic treeline, Great Slave region, NWT
 
AuthorOlthof, I; Latifovic, R; Wolfe, S AORCID logo; Fraser, RORCID logo
Source39th Annual Yellowknife Geoscience Forum, abstracts of talks and posters; by Fischer, B J; Watson, D M; Northwest Territories Geoscience Office, Yellowknife Geoscience Forum Abstracts Volume vol. 2011, 2011 p. 116 Open Access logo Open Access
LinksOnline - En ligne
Image
Year2011
Alt SeriesEarth Sciences Sector, Contribution Series 20110212
MeetingYellowknife NWT Geoscience Forum; Yellowknife; CA; November 15-17, 2011
Documentserial
Lang.English
Mediapaper
File formatpdf
ProvinceNorthwest Territories
AreaGreat Slave Lake
Subjectsgeophysics; Nature and Environment; remote sensing; satellites; satellite imagery; vegetation
ProgramClimate Change Geoscience
Released2011 01 01
AbstractThe 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

 
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