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dc.creatorRyzhkova,Vera
dc.creatorDanilova,Irina
dc.date2012-01-01
dc.date.accessioned2019-06-12T02:00:23Z
dc.date.available2019-06-12T02:00:23Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0717-92002012000300011
dc.identifier.urihttps://bibliotecadigital.infor.cl/handle/20.500.12220/28822
dc.descriptionA method of automated classification and mapping based on a spatial analysis of a digital elevation model (Shuttle Radar Topography Mission (SRTM 90m), Landsat 5-TM imagery, and ground data was applied to classify and map forest site conditions and vegetation on a test site. The vector maps obtained reflected the test site potential environmental conditions, forest types, and regenerating vegetation age stages.
dc.formattext/html
dc.languageen
dc.publisherUniversidad Austral de Chile, Facultad de Ciencias Forestales
dc.relation10.4067/S0717-92002012000300011
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceBosque (Valdivia) v.33 n.3 2012
dc.subjectCentral Siberia
dc.subjectsite conditions and forest type mapping
dc.subjectgeographical information system (GIS)
dc.subjectdigital elevation model (DEM)
dc.subjectremote sensing data
dc.titleGIS-based classification and mapping of forest site conditions and vegetation
dc.typeArtículo de revista


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