福建林业科技Issue(4)：72-76,109,6.DOI:10.13428/j.cnki.fjlk.2014.04.017
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
摘要
Abstract
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Key words
forest volume/remote sensing image/generalized least squares regression/quantitative estimation/the Kingdom of Cambodia分类
农业科技引用本文复制引用
李利伟,黄国胜,王雪军,张超,智长贵,党永峰,王威..基于高分辨率遥感影像的森林蓄积量估测[J].福建林业科技,2014,(4):72-76,109,6.基金项目
科技部863计划研究课题 （）
