基于IRS-P6数据的森林生物量遥感估算——以桂林尧山为例

Remote sensing study on forest biomass estimation model based on IRS-P6——a case study of Yaoshan area,Guilin

以桂林市尧山森林生物量为研究目标,以IRS-P6的LISS-III/IV数据和Landsat-7 ETM+数据为信息源,通过逐步引入-剔除法,建立起5种变量剔除情况下的遥感估算针叶林材积的多元线性回归方程.以此作为基础,对尧山针叶林材积开展了定量遥感计算和分析.研究结果表明尧山东南部森林生物量要大于西北部.相关研究结论为尧山以及桂林地区生态环境综合治理提供了林学方面的新依据.

The forest biomass was taken as the object,lie in Yaoshan,GuiLin city,it regard IRS-P6 LISS-III/IV data and Landsat 7 ETM ＋ data as the source of information.It set up multiple linear regression equation of coniferous forest volume by remote sensing estimation while five varibles were eliminated.The coniferous forest volume was studied in Yaoshan by quantitative remote calculation and analysis.The results show that the forest biomass in the southeast of Yaoshan is bigger than the northwest aeras.New evidences are provided throughout some related conclusions on how to manage ecology environment in Yaoshan aeras,Guilin,especially is for the field of forest in a comprehensive way.