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作 者 ：刘志华^1,2;常禹¹;陈宏伟^1,2

期 刊 ：应用生态学报 2008年 19卷 09期 页码：1891-1896

关键词：地理信息系统；

摘 要 ：利用遥感图像光谱信息良好的综合性和现势性以及地理信息系统(GIS)强大的空间分析功能，结合人工神经网络(ANN)可优化求解非线性复杂系统的功能，对呼中林区森林蓄积量进行了估测.结果表明：中红外波段与森林蓄积量间存在明显的负相关关系，说明中红外波段对估
测森林蓄积量具有一定潜力；可见光波段和光谱变换第一主成分与森林蓄积量间也存在负相
关关系；地形因子中海拔对研究区森林蓄积量的影响最大，坡度和坡向对蓄积量的影响较小
.基于最佳的ANN网络参数、适当的GIS提取信息和遥感波段，呼中林区森林蓄积量的预测值
和实测值的相关系数达0.973，经主成分变换后，数据量被有效降低，而预测精度只有少量
下降(R²=0.934).

Abstract:

Based on remote sensing (RS) which has integrated and realistic charac
teristics, geographic information system (GIS) which has powerful spatial analysis ability, and artificial neutral network (ANN) which can optimize nonlinear complex systems, the forest volume in Huzhong forest area was estimated. The results showed that there was an obvious negative correlation between the forest volume and infrared band, indicating that infrared band had definite potential in estimating forest volume. The forest volume also negatively correlated with visible band and PC1. Among the topographic factors, altitude exerted more influence than aspect and slope on the estimation of forest volume. The correlation coefficient of predicted value and actual value reached to 0.973, when the optimal ANN parameter, suitable GIS information, and RS bands were adopted. After principal co
mponent transformation, the amount of observation data was effectively reduced, while the predicted precision only had a small decline (R²=0.934).

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