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当前位置: 首页 > 文章 > 长白山林区森林生物量遥感估测模型 林业科学 2011,47 (10) 16-20
Position: Home > Articles > Forest Biomass Estimation Models of Remote Sensing in Changbai Mountain Forests Scientia Silvae Sinicae 2011,47 (10) 16-20

长白山林区森林生物量遥感估测模型

作  者：
范文义;李明泽;杨金明
单  位：
东北林业大学林学院
关键词：
TM;森林生物量;逐步回归;偏最小二乘回归;bootstrap;长白山
摘  要：
采用黑龙江长白山地区TM图像和143块森林资源连续清查固定样地数据及野外调查补充样地数据,选择包括各波段灰度值、不同波段灰度值之间的线性和非线性组合(包括11种植被指数)、纹理信息以及环境因子在内的75个自变量,分别采用逐步回归分析法和偏最小二乘回归法建立黑龙江长白山林区森林生物量遥感估测模型:逐步回归法采用5个自变量所建模型平均拟合精度为76.5%,均方根误差为19.12t·hm-2,样地生物量真实值与预测值相关系数为0.5434;偏最小二乘回归法采用10个自变量所建模型平均拟合精度85.8%,均方根误差9.92t·hm-2,样地生物量真实值与预测值相关系数0.8603,偏最小二乘回归法要优于逐步回归法。利用建立的偏最小二乘回归模型计算得到黑龙江长白山2007生物量等级分布图,采用29个检验样本对反演结果进行检验,计算得到29个样本的平均预测精度为83.73%。
译  名：
Forest Biomass Estimation Models of Remote Sensing in Changbai Mountain Forests
作  者：
Fan Wenyi Li Mingze Yang Jinming(College of Forestry,Northeast Forestry University Harbin 150040)
关键词：
TM;forest biomass;stepwise regression;PLS;bootstrap;Changbai Mountain
摘  要：
Models weere established with the stepwise regression and partial least-squares regression based on TM imagery and a survey of 143 plots in Changbai Mountain area of Heilongjiang to estimate the forest biomass.As much as 75 independent variables were selected out,including gray value of each band,the linear and nonlinear combinations between different bands of gray value(including 11 vegetation index),texture information and environmental factors.The stepwise regression equation was used to establish a model with five independent variables.The model had a standard fitting accuracy of 76.5%,the root-mean-square error of 19.12 t·hm-2,and the correlation of the prediction values with the model and factually observed values was 0.860 3.Partial least squares method was used to establish a model with 10 independent variables.The model had a standard fitting accuracy of 85.8%,and the root-mean-square error of 9.92 t·hm-2,and the correlation of the prediction values and observed values was 0.860 3.The results indicated that partial least squares method was better than the stepwise regression equation in this study.Total 2007 distribution maps of hierarchical of biomass in Changbai Mountain area were obtained by using the model established with the partial least squares.The mean prediction accuracy was 83.73% for 29 samples which had been evaluated by a test of inversion result of the samples.

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