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TitleDeriving stand age distribution in boreal forest using SPOT VEGETATION and NOAA AVHRR imagery
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorZhang, Q; Pavlic, G; Chen, WORCID logo; Latifovic, R; Fraser, RORCID logo; Cihlar, J
SourceRemote Sensing of Environment vol. 91, no. 3-4, 2004 p. 271-520,
Alt SeriesEarth Sciences Sector, Contribution Series 20043177
PublisherElsevier BV
Mediapaper; on-line; digital
File formatpdf
NTS52A; 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
Subjectsgeophysics; vegetation; remote sensing; satellite imagery; mapping techniques; Short-wave vegetation index (SWVI); Normalized Vegetation Index (NDVI)
Illustrationslocation maps; satellite images; tables; flow charts; graphs; histograms
Released2004 06 01
AbstractStand 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.

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