西南林业大学学报2018，Vol.38Issue(3)：137-144,8.DOI:10.11929/j.issn.2095-1914.2018.03.020
基于NFI和DEM数据的浙江森林立地分类研究
Forest Site Classification Based on NFI and DEM in Zhejiang Province
摘要
Abstract
Based on national forest inventory data (NFI) in Zhejiang Province in 2009 and the digital eleva-tion data (DEM) obtained synchronously as the data source,according to the soil type,the site type group was di-vided,and the slope position index and slope direction angle were used to assign the slope position and slope direc-tion,respectively. The principal component analysis of the site factors of elevation, slope direction, slope, slope position,soil thickness,humus thickness,and litter thickness in each site type group was performed to determine the dominant site factor,and the site type was divided according to the dominant site factor. Results show that the forest site in Zhejiang Province can be divided into 7 site type groups and 400 site types,which can achieve more accurate site classification,and provide reference basis for afforestation planning,tending and renewal,and forestry ecological construction.关键词
立地分类/主成分分析/森林资源/清查/坡位指数Key words
site classification/principal component analysis/forest resources/inventory/slope index分类
农业科技引用本文复制引用
李培琳,韦新良,汤孟平..基于NFI和DEM数据的浙江森林立地分类研究[J].西南林业大学学报,2018,38(3):137-144,8.基金项目
国家林业局林业公益性行业科研专项(20150430303)资助. （20150430303）
