METHODICAL FEATURES OF DATA INTERPRETATION OF REMOTE SENSING FOR GEOINFORMATION MAPPING OF CHERNIVTSI REGION LAND RESOURCES

Bondarenko E., Smirnov Ya.

Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

Abstract:

Formulated automated and manual techniques of Landsat data interpretation on the basis of CORINE land resources classification system. Defines the main spectral characteristics of the land cover categories in the Chernivtsi region. Constructed vector polygonal layers with boundaries of land cover categories in region for the years 1989 and 2010.

Keywords:

remote sensing, image classification, GIS, land resources, land cover, land use, CORINE

Language:

ukrainian

DOI: http://doi.org/10.17721/1728-2721.2014.62.13

References:

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Suggested citation:

Bondarenko, E., Smirnov, Ya.  (2014). Methodical features of data interpretation of remote sensing for geoinformation mapping of Chernivtsi region land resources. Visnyk Kyivskogo natsionalnogo universytetu, Geografiya [Bulletin of Taras Shevchenko National University of Kyiv, Geography], 1 (62), 53-59 (in Ukrainian, abstr. in English).