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

被引：2
|
作者：
Ryzhkova, Vera [1 ]
Danilova, Irina [1 ]
机构：
[1] Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia
来源：
BOSQUE | 2012年 / 33卷 / 03期
基金：
俄罗斯基础研究基金会;
关键词：
Central Siberia; site conditions and forest type mapping; geographical information system (GIS); digital elevation model (DEM); remote sensing data;
D O I：
10.4067/S0717-92002012000300011
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
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.
引用
收藏
页码：293 / 297
页数：5
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