基于像元二分模型的森林郁闭度估测方法  

Estimation of Forest Canopy Closure Based on Dimidiate Pixel Model

作　　者：徐定[1] 彭道黎[1] 

机构地区：[1]省部共建森林培育与保护教育部重点实验室(北京林业大学),北京100083

出　　处：《东北林业大学学报》2013年第2期119-122,共4页Journal of Northeast Forestry University

基　　金：国家"十一五"林业科技支撑项目(2006BAD23B05);国家级林业推广项目(201145)

摘　　要：以遥感影像与森林资源一类调查数据为基础,基于归一化植被指数(NDVI)的像元二分模型对密云县森林郁闭度进行遥感估测,模型的纯像元植被指数通过样地数据来确定。经验证,模型估测值与实测值相关系数为0.73,相对误差为14.40%。结果说明,采用像元二分模型与森林资源一类调查数据结合进行森林郁闭度估测,技术路线简单可靠,精度可满足要求,同时能弥补TM影像分辨率的不足,具有一定的推广价值。According to remote sensing and forest resource inventory data, dimidiate pixel model based on normalized differential vegetation index （NDVI） was used to estimate the forest canopy closure in Miyun County, China, and the pixel vegetation index was determined through the sample plot data. Through verification, the correlation coefficient is 0.73 and the relative error is 14.40% between estimated value and measured value. The result shows that the combination technique of dimidiate pixel model and forest resource inventory data is simple and reliable to estimate forest canopy closure with required accuracy, and can offset the resolution shortage of TM image with certain promotional value.

关 键 词：森林郁闭度 像元二分模型 归一化植被指数 密云县 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]