Mapping of vegetation cover and soil carbon stock using geographic information system tools, remote sensing data and digiatal elevation model
Автор: Danilova Irina V., Ryzhkova Vera A., Korets Michael A.
Журнал: Журнал Сибирского федерального университета. Серия: Техника и технологии @technologies-sfu
Статья в выпуске: 6 т.10, 2017 года.
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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).
Remote sensing data (rsd), digital elevation model (dem), geographic information system (gis), vegetation cover mapping, soil carbon stock, central siberia
Короткий адрес: https://sciup.org/146115245
IDR: 146115245 | DOI: 10.17516/1999-494X-2017-10-6-775-782
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