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 reflected the test site potential environmental conditions, forest types, and regenerating vegetation age stages.
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Main Authors: | Ryzhkova,Vera, Danilova,Irina |
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Format: | Artículo de revista biblioteca |
Language: | English |
Published: |
Universidad Austral de Chile, Facultad de Ciencias Forestales
2019-06-12T02:00:23Z
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Subjects: | Central Siberia, site conditions and forest type mapping, geographical information system (GIS), digital elevation model (DEM), remote sensing data, |
Online Access: | https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0717-92002012000300011 https://bibliotecadigital.infor.cl/handle/20.500.12220/28822 |
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