| Title | Deriving stand age distribution in boreal forest using SPOT VEGETATION and NOAA AVHRR imagery |
| Download | Downloads (Preprint) |
| |
| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Zhang, Q; Pavlic, G; Chen, W ; Latifovic, R; Fraser, R; Cihlar,
J |
| Source | Remote Sensing of Environment vol. 91, no. 3-4, 2004 p. 271-520, https://doi.org/10.1016/j.rse.2004.04.004 |
| Image |  |
| Year | 2004 |
| Alt Series | Earth Sciences Sector, Contribution Series 20043177 |
| Publisher | Elsevier BV |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Province | Ontario |
| NTS | 52A; 52B; 52G; 52H; 42B; 42C; 42F; 42G |
| Lat/Long WENS | -92.0000 -88.0000 50.0000 48.0000 |
| Lat/Long WENS | -86.0000 -82.0000 50.0000 48.0000 |
| Subjects | geophysics; vegetation; remote sensing; satellite imagery; mapping techniques; Short-wave vegetation index (SWVI); Normalized Vegetation Index (NDVI) |
| Illustrations | location maps; satellite images; tables; flow charts; graphs; histograms |
| Released | 2004 06 01 |
| Abstract | Stand age distribution in boreal forests reflects past disturbances, which is a major determinant of the carbon strength (sink or source). We used mapped and dated fire scars as a reference and
developed a remote sensing algorithm for mapping boreal forest stand age distribution that accounts for other stand-replacing disturbances such as harvesting. Considering its strong discriminatory capacity on vegetation type and stand age, a
short-wave vegetation index (SWVI) (Remote Sensing of Environment 82 (2002) 95), calculated from the SPOT VEGETATION (VGT) near-infrared and short-wave infrared bands, was utilized to quantify forest regeneration following fire. Stand age of a pixel
was then determined by its SWVI value in comparison with the known ones from the dated fire scars. A change indicator (Latifovic, R. (2001). VGT and AVHRR Manager User manual. Canada Centre for Remote Sensing, Natural Resources Canada. Ottawa,
Ontario, Canada), which considered interannual changes in the Normalized Difference Vegetation Index (NDVI) from sequential NOAA Advanced Very-High Resolution Radiometer (AVHRR) imagery (1993-1998), was employed to differentiate areas with lower SWVI
values resulting from biophysical factors other than disturbances. We evaluated the stand age distribution product using Landsat TM imagery and discussed the limits and constraints of the remote sensing approach of deriving stand age distribution in
the boreal forest region. |
| GEOSCAN ID | 219979 |
|
|