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TitleForest Cover Indicator Based on Multi-scale Remote Sensing Information
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorLeblanc, S GORCID logo; Chen, WORCID logo; Fernandes, R AORCID logo
Source30th International Symposium on Remote Sensing of Environment, Honolulu, Hawaii, November 10-14; 2003 p. 4, Open
Access logo Open Access
Alt SeriesEarth Sciences Sector, Contribution Series 20043249
Mediapaper; on-line; digital
File formatpdf
SubjectsNature and Environment
Released2003 01 01
AbstractForests cover nearly half of Canada's landmass. While forested lands are often viewed as areas of wood production, forests also provide wildlife habitat and ecosystem mechanisms to clean air and water, and sequester carbon. Measuring the area of forested land in Canada on a regular basis provides an indicator of the availability of these important ecosystem services. This study examines the capability of coarse spatial resolution satellite data to quantify forest cover based on crown closure estimates. Field data, high and medium resolution remote sensing imageries, and a canopy radiative transfer model (Five-Scale) are used to assess the mapping potential of 1-km data, such as AVHRR, VGT and MODIS. The main challenge of the research is in the transition zone between boreal forest and the tundra, where few inventory data are available and the trees are found in clusters. The results will be used in a Canada-wide forest indicator that aimed at monitoring yearly changes in the forest extend due in part to forest fires, insect defoliation, regrowth and changes due to climate change. Different methodologies and initial results of this ongoing activity are presented.

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