GIS-based classification and mapping of forest site conditions and vegetation

A 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...

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Autores principales:	Ryzhkova,Vera, Danilova,Irina
Lenguaje:	English
Publicado:	Universidad Austral de Chile, Facultad de Ciencias Forestales 2012
Materias:	Central Siberia site conditions and forest type mapping geographical information system (GIS) digital elevation model (DEM) remote sensing data
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002012000300011
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spelling	oai:scielo:S0717-920020120003000112014-11-05GIS-based classification and mapping of forest site conditions and vegetationRyzhkova,VeraDanilova,Irina Central Siberia site conditions and forest type mapping geographical information system (GIS) digital elevation model (DEM) remote sensing data A 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.info:eu-repo/semantics/openAccessUniversidad Austral de Chile, Facultad de Ciencias ForestalesBosque (Valdivia) v.33 n.3 20122012-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002012000300011en10.4067/S0717-92002012000300011
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Central Siberia site conditions and forest type mapping geographical information system (GIS) digital elevation model (DEM) remote sensing data
spellingShingle	Central Siberia site conditions and forest type mapping geographical information system (GIS) digital elevation model (DEM) remote sensing data Ryzhkova,Vera Danilova,Irina GIS-based classification and mapping of forest site conditions and vegetation
description	A 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.
author	Ryzhkova,Vera Danilova,Irina
author_facet	Ryzhkova,Vera Danilova,Irina
author_sort	Ryzhkova,Vera
title	GIS-based classification and mapping of forest site conditions and vegetation
title_short	GIS-based classification and mapping of forest site conditions and vegetation
title_full	GIS-based classification and mapping of forest site conditions and vegetation
title_fullStr	GIS-based classification and mapping of forest site conditions and vegetation
title_full_unstemmed	GIS-based classification and mapping of forest site conditions and vegetation
title_sort	gis-based classification and mapping of forest site conditions and vegetation
publisher	Universidad Austral de Chile, Facultad de Ciencias Forestales
publishDate	2012
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002012000300011
work_keys_str_mv	AT ryzhkovavera gisbasedclassificationandmappingofforestsiteconditionsandvegetation AT danilovairina gisbasedclassificationandmappingofforestsiteconditionsandvegetation
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GIS-based classification and mapping of forest site conditions and vegetation

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