Two-level model for land degradation mapping on multispectral satellite imagery

dc.contributor.author	Gubkina, V.V.
dc.date.accessioned	2013-11-19T21:11:15Z
dc.date.available	2013-11-19T21:11:15Z
dc.date.issued	2011
dc.identifier.uri	http://ir.nmu.org.ua/handle/123456789/3118
dc.description.abstract	Two-level model for land degradation mapping on multispectral satellite imagery of low and medium spatial resolution is shown. First level model applies several different thematic classifications of source multispectral images, e.g. vegetation change, soil erosion etc. Second level gives data fusion of specific thematic classifications of the first level into final thematic map to improve accuracy and reliability of wing to joint interpretation. Proposed model will be useful for information support systems to provide land management.	uk_UA
dc.language.iso	en	uk_UA
dc.publisher	University of Zilina	uk_UA
dc.subject	Two-level model for land degradation mapping on multispectral satellite imagery	uk_UA
dc.subject	remote sensing thematic mapping, two-level probabilistic model, change detection, geospatial data fusion, multispectral satellite imagery, land deg-radation	uk_UA
dc.title	Two-level model for land degradation mapping on multispectral satellite imagery	uk_UA
dc.type	Article	uk_UA