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TitleIntegration of GIS and RS: A Canadian Vegetation Cover Experience
AuthorPalko, S; St-Laurent, L
SourceProceedings of the Third International Colloquium of National Laboratory for Information Engineering on Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan Technical University of Surveying and Mapping; 1994 p. 10
Alt SeriesEarth Sciences Sector, Contribution Series 20042538
AbstractThe purpose of this paper is twofold. The first part provides an overview of a new, seamless digital data set showing vegetation and land cover categories over all of Canada derived from Remote Sensing (RS) imagery in raster format. The second part describes the conversion of the data set from raster to vector format to make the data set suitable for integration into Geographic Information Systems (GIS).

Data were obtained from the Advanced Very High Resolution Radiometer (AVHRR) sensor operating on board the United States National Oceanic and Atmospheric Administration (NOAA) satellites which have a resolution of 1.1 km. The vegetation and land cover data set includes twelve categories, all interpreted from the AVHRR imagery. The paper focuses on the methodology involved in image compositing, the techniques of image classification, the definition and description of vegetation and land cover categories, challenges of raster to vector conversion and related generalization, and finally the integration of the data set into a GIS environment.


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