Journal of Siberian Federal University. Engineering & Technologies: Mapping of Vegetation Cover and Soil Carbon Stock Using Geographic Information System Tools, Remote Sensing Data and Digiatal Elevation Model

Journal of Siberian Federal University. Engineering & Technologies / Mapping of Vegetation Cover and Soil Carbon Stock Using Geographic Information System Tools, Remote Sensing Data and Digiatal Elevation Model

Issue: Journal of Siberian Federal University. Engineering & Technologies. 2017 10 (6)
Authors: Danilova, Irina V.; Ryzhkova, Vera A.; Korets, Michael A.
Contact information: Danilova, Irina V.: V.N. Sukachev Institute of Forest SB RAS 50/28 Akademgorodok, Krasnoyarsk, 660036, Russia; Ryzhkova, Vera A.: V.N. Sukachev Institute of Forest SB RAS 50/28 Akademgorodok, Krasnoyarsk, 660036, Russia; ; Korets, Michael A.: V.N. Sukachev Institute of Forest SB RAS 50/28 Akademgorodok, Krasnoyarsk, 660036, Russia
Keywords: remote sensing data (RSD); digital elevation model (DEM); geographic information system (GIS); vegetation cover mapping; soil carbon stock; Central Siberia
Abstract: This study employed an algorithm of vegetation cover mapping based on a spatial analysis of Landsat OLI satellite imagery, a digital elevation model (DEM) and field data using geographic information systems (GIS) and expert knowledge. Applying this algorithm, maps of vegetation types and vegetation growth conditions were built for the test site in the northern part of near-Yenisei Siberia (Krasnoyarsk region). The spatial analysis of these two maps with field samples were used for the extrapolation and mapping of soil carbon stock volumes (kgC/m2)
Pages: 775-782
Paper at repository of SibFU: https://elib.sfu-kras.ru/handle/2311/35011