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

页码：293 / 297

页数：5

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