江西农业大学学报Issue(5)：977-983,1008,8.
基于多源遥感数据反演森林植被面积
The Inversion of Forest Vegetation Area Based on Multi-source Remote Sensing Data
摘要
Abstract
Based on the multi-source remote sensing data,this paper takes Qingyuan County as the study area,and the method of forest vegetation extraction is formed on different scales ( County-Township manage-ment unit) .Tukouzi Township is selected as an example and the method of Object-oriented classification is ap-plied,using ENVI EX4.8 software,and then based on this method,Collaborative inversion method is applied to TM image and the forest vegetation information of Qingyuan County is extracted.The results show that based on RapidEye image,the overall accuracy of the forest vegetation type information extraction is 88.87%and the Kappa coefficient is 0.61;the accuracy of the forest area information extracted from TM imagine is 92.41%and the Kappa coefficient is 0.89.This method has a higher classification accuracy and can provide a reference for remote sensing information extraction of forest vegetation types on different scales for forestry departments.关键词
遥感/多尺度/面向对象/监督分类/协同反演Key words
remote sensing/multiple-scale/object-oriented/supervised-classification/collaborative inversion分类
农业科技引用本文复制引用
王海宾,邓华锋,程志楚,刘华..基于多源遥感数据反演森林植被面积[J].江西农业大学学报,2014,(5):977-983,1008,8.基金项目
国家林业公益性行业科研专项 （）
