| Title | Finding the tree line: quantitative derivation of forest cover estimates |
| Download | Downloads |
| |
| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Leblanc, S G ;
Orazietti, J; Chen, W; Olthof, I; Fernandes, R |
| Source | Proceedings of the 31st International Symposium on Remote Sensing of Environment; 2005 p. 1-4 |
| Year | 2005 |
| Alt Series | Earth Sciences Sector, Contribution Series 2005044 |
| Meeting | 31st International Symposium on Remote Sensing of Environment; St. Petersburg; RU; June 20-24, 2005 |
| Document | book |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | Nature and Environment |
| Program | Reducing Canada's Vulnerability to Climate Change
|
| Abstract | Human activities and climate change are affecting the current position of our ecosystem boundaries and it is expected that the boreal northern tree line will shift to the north due to milder climate at
high latitude. This change in extent of the boreal forest will affect greatly the carbon cycle and sustainable development of the north. To be able to assess these changes, field measurements using digital hemispherical photography were acquired to
quantitatively estimate vegetation characteristics such as leaf area index (LAI) and canopy crown closure in the Yukon and Northwest Territories of Canada during the summer of 2004. Crown closure is used in this study as a quantitative measure to
assess forest presence/absence based on a given forest definition. Empirical relationships are derived using LANDSAT ETM+ images that were normalized with coarse resolution SPOT-VGT data. The best results are found when linear combination of bands
for the broadleaf species and linear combination of exponential relationships for the coniferous species are used. The crown closure maps from LANDSAT images are then used to calibrate low-resolution forest cover maps from NOAA-AVHRR and SPOT-VGT
data. |
| GEOSCAN ID | 220567 |
|
|