【摘要】 基于Landsat-8遥感影像结合同期的野外调查样地数据,建立青海省西宁市南北山森林生物量估测模型。通过对Landsat-8遥感数据6个原始波段的灰度值和4个常用植被指数(DVI、NDVI、EVI、SAVI),开展主成分分析后得到主分量PCA1、缨帽变换得到BRIGHT、GREEN、WET,分析遥感信息与生物量的相关性,运用逐步回归分析法建立研究区森林生物量回归估测模型:B=119.495+3.704E-24e DVI+0.026OLI-52-3.478OLI-5(R2=0.554,p<0.01),经检验模型的平均相对误差为13.509%,反演得到西宁市单位面积森林生物量为5.227t/hm2,总森林生物量为998 991.768t。结合西宁市遥感影像,绘制了西宁市森林生物量分布图。更多还原

【Abstract】 Based on Landsat-8remote sensing image data,combined with field survey data during the same period,a forest biomass estimating model of North and South Mountains in Xining,capital of Qinghai Province was established.Different band spectral reflectances of each plot were obtained,and the vegetation indices,bright,green,wet and derived factors by linear or nonlinear transformation were computed by using ENVI software.In order to select appropriate factors as variables for the establishment of forest biomass model,the correlations between those factors and forest biomass were calculated.The multiple regression model was built using stepwise regression analysis.Model B=119.495+3.704E-24 e DVI+0.026OLI-52-3.478OLI-5could be used to estimate forest biomass in Xining,its multiple correlation coefficient was0.554(p<0.01).The predicted average relative error was 13.509%.The results showed that the average forest biomass density of Xining was 5.227t·hm-2,and the total forest biomass was 998 991.768 t.更多还原