国土资源遥感Issue(1)：83-89,7.DOI:10.6046/gtzyyg.2012.01.15
基于光谱特征的雅鲁藏布江源区草地类型识别
The Identification of Grassland Types in the Source Region of the Yarlung Zangbo River Based on Spectral Features
摘要
Abstract
With the Landsat5 TM images of the source region of the Yarlung Zangbo River as the datum source, according to the different features of spectral combination of the grassland, and in combination with the 1 : 1 000 000 vegetation type map as well as DEM and NDVI data, the authors set up the rules of grass identification and conducted researches on grass recognition based on decision tree classification. Some conclusions have been reached; ① Due to difference in habitat types, good results of identifying grass can only be achieved by using different spectral combination features; ② Compared with traditional supervised classification, the decision tree classification based on spectral combination features has higher precision of identification, the overall classification accuracy has been improved by 15.4% and the Kappa coefficient has been increased by 0. 225; ③ In the region with elevation ranging from 4 400 m to 5 000 m, the grassland area of Orinus thoroldii is the largest, followed by the mixed meadow of Kobresia humilis and Kobresia pygmaea, and then by the bush of Caragana versicolor and Potentilla fruticos, with Kobresia littledalei having the smallest area.关键词
光谱特征/决策树分类/遥感/雅鲁藏布江源区/草地类型Key words
spectral feature/ decision tree classification/ remote sensing/ source region of the Yarlung Zangbo river/ grassland types分类
信息技术与安全科学引用本文复制引用
孙明,沈渭寿,谢敏,李海东,高菲..基于光谱特征的雅鲁藏布江源区草地类型识别[J].国土资源遥感,2012,(1):83-89,7.基金项目
国家环保公益性行业科研专项(编号:200709045,200809010,200909050)资助. （编号:200709045,200809010,200909050）
