林业科学2011，Vol.47Issue(9)：1-6,6.
基于Landsat TM数据估算雷竹林地上生物量
Estimation of Aboveground Biomass of Phyllostachys praecox Forest Based on Landsat Thematic Mapper Image
摘要
Abstract
Based on data collected with Landsat Thematic Mapper ( TM ) , a remote sensing technique, and a field survey, a model established with the partial least squares ( PLS) regression was used to estimate aboveground biomass (AGB) of Phyllostachys praecox forest in Lin'an City, Zhejiang Province. Results showed that AGB of individual Phyllostachys praecox was significantly correlated with diameter at breast height and AGB of Phyllostachys praecox forest was significantly correlated with culms density. The predicted accuracy of the PLS model has be improved through PLS-Bootstrap variable selection method, with a root mean square error ( RMSE ) of 3.45 t · hm-2 . The PLS model is an effective way of estimating AGB of Phyllostachys praecox forest in a large area. Most of Phyllostachys praecox in the forested area had AGB values between 13 and 25 t·hm2, and the average AGB density was 19. 52 t · hm-2.关键词
雷竹林/地上生物量/Landsat TM遥感数据/偏最小二乘回归Key words
Phyllostachys praecox forest/ aboveground biomass/ Landsat TM data/ partial least squares regression分类
农业科技引用本文复制引用
徐小军,周国模,杜华强,董德进,崔瑞蕊,周宇峰,沈振明..基于Landsat TM数据估算雷竹林地上生物量[J].林业科学,2011,47(9):1-6,6.基金项目
国家林业局948项目(2008-4-49)、国家自然科学基金项目(30700638)、浙江省科技厅项目(2008C12068)、浙江省重点科技创新团队(2010R50030). （2008-4-49）
