Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 699-704, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-699-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Jun 2016
VEGETATION COVER MAPPING BASED ON REMOTE SENSING AND DIGITAL ELEVATION MODEL DATA
M. A. Korets, V. A. Ryzhkova, I. V. Danilova, and A. S. Prokushkin Sukachev Institute of Forest SB-RAS, Russia
Keywords: Geographic Information System (GIS), Remote Sensing (RS), Digital Elevation Model (DEM), Vegetation Mapping Abstract. An algorithm of forest cover mapping based on combined GIS-based analysis of multi-band satellite imagery, digital elevation model, and ground truth data was developed. Using the classification principles and an approach of Russian forest scientist Kolesnikov, maps of forest types and forest growing conditions (FGC) were build. The first map is based on RS-composite classification, while the second map is constructed on the basis of DEM-composite classification. The spatial combination of this two layers were also used for extrapolation and mapping of ecosystem carbon stock values (kgC/m2). The proposed approach was applied for the test site area (~3600 km2), located in the Northern Siberia boreal forests of Evenkia near Tura settlement.
Conference paper (PDF, 1981 KB)


Citation: Korets, M. A., Ryzhkova, V. A., Danilova, I. V., and Prokushkin, A. S.: VEGETATION COVER MAPPING BASED ON REMOTE SENSING AND DIGITAL ELEVATION MODEL DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 699-704, https://doi.org/10.5194/isprs-archives-XLI-B8-699-2016, 2016.

BibTeX EndNote Reference Manager XML