基于高分辨率遥感影像的森林蓄积量估测  

Estimation of the Forest Volume Based on High Resolution Images

作　　者：李利伟[1] 黄国胜[1] 王雪军[1,2] 张超[2] 智长贵[1] 党永峰[1] 王威[1] 

机构地区：[1]国家林业局调查设计规划院,北京100714 [2]北京林业大学林学院,北京100083

出　　处：《福建林业科技》2014年第4期72-76,109,共6页Journal of Fujian Forestry Science and Technology

基　　金：科技部863计划研究课题(典型应用领域全球定量遥感产品生产体系;2013AA12A302子课题全球林业定量遥感专题产品生产系统)

摘　　要：为了快速有效获取《综合开发利用项目》项目区的森林蓄积量,利用SPOT5和Rapid Eye高分辨率遥感影像,结合野外实地调查数据,采用最小二乘回归方法构建森林蓄积量遥感估测模型,估算柬埔寨王国上丁省特许地2012年的森林蓄积量。结果表明:1利用预留独立样本对模型进行精度验证,不分类型的模型的总体预测精度可达到99.37%,分类型的模型的总体预测精度分别可达到99.57%、97.30%、99.41%、96.84%、76.25%;2不分类型建模反演得到2012年研究区的森林总蓄积量为33197465.008 m3,各类型的森林蓄积量分别为16660360.382、7124988.801、5716238.005、4016470.930、186695.185 m3。结果表明利用高分辨率遥感影像快速估测区域森林蓄积量的可行性,也为合理规划和开发利用特许地的森林资源提供参考。In order to acquire the forest volume in the Kingdom of Cambodia quickly and efficiently , Based on the field data and SPOT5 images and RapidEye images ,the generalized least squares （ GLS） regression model was generated and the predicting map of forest volume in the Kingdom of Cambodia was constructed .Furthermore,the study area was classified into five categories according to the land use type ,forest canopy and forest quality ,and the forest volume of all five categories were conducted separately .The re-sults showed that the estimation precision of the total forest volume was 99.37%,while that of the five categories were 99.57%, 97.30%,99.41%,96.84%and 76.25%,respectively;the total forest volume of the Kingdom of Cambodia was 33197465.008 m3 , while that of the five categories were 16660360.382,7124988.801,5716238.005,4016470.930 and 186695.185 m3,respective-ly.The study has verified an effective way to estimate the forest volume of the Kingdom of Cambodia using high resolution RS ima -ges,and it provide a reliable basis for planning and exploitation the forest resources in study area .

关 键 词：森林蓄积量 遥感影像 最小二乘回归 定量估测 柬埔寨王国 

分 类 号：S771.8[农业科学—森林工程] S758.51[农业科学—林学]