| Title | Forest Cover Indicator Based on Multi-scale Remote Sensing Information |
| Download | Downloads (Preprint) |
| |
| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Leblanc, S G ;
Chen, W; Fernandes, R A |
| Source | 30th International Symposium on Remote Sensing of Environment, Honolulu, Hawaii, November 10-14; 2003 p. 4, https://doi.org/10.4095/220051  Open Access |
| Year | 2003 |
| Alt Series | Earth Sciences Sector, Contribution Series 20043249 |
| Document | book |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | Nature and Environment |
| Released | 2003 01 01 |
| Abstract | Forests 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. |
| GEOSCAN ID | 220051 |
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