Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2009, Issue 6, Vol. 2, pp. 411-418
High Resolution Space Imagery
for Soil Recognition and Mapping of Agricultural Lands
Научно-исследовательское республиканское унитарное предприятие «БелНИЦзем», 220108, Республика Беларусь, Минск, ул. Казинца, 86/3
High-resolution multispectral space images QuickBird and Ikonos substantially increase possibilities
of land cover/land use remotely studies. Researches and construction of the automated technology of
large-scale soil-mapping based on remote sensing data are performed in Republican Unitary Enterprise
BelNICzem. Main approaches of multispectral high-resolution imagery processing and thematic interpretation
for soil mapping are reviewed in the article. Possibilities of remote studies of water erosion, soil
moisture and peat degradation in reclaimed areas are shown by examples of tested areas, located in Braslav
and Soligorsk districts of the Republic of Belarus. Major indication characteristic of soils for their
use in automated recognition are considered.
Keywords: remote sensing, geographic information systems, multispectral imagery, space images, soils, soil maps, automated processing of remote sensing data, recognition, interpretation, mapping
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