| 基于光谱特征的雅鲁藏布江源区草地类型识别 |
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| 引用本文： | 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. |
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| 作者姓名： | 孙明 沈渭寿 谢敏 李海东 高菲 |
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| 作者单位： | 环境保护部南京环境科学研究所;广西区气象减灾研究所/国家气象卫星中心遥感应用试验基地;广西区气候中心;江苏省秦淮河水利工程管理处 |
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| 基金项目： | 国家环保公益性行业科研专项(编号:200709045,200809010,200909050)资助 |
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| 摘 要： | 以雅鲁藏布江源区为研究对象,以Landsat5 TM图像为数据源,根据不同草地类型的波段组合特征,结合源区1∶100万植被类型图、DEM和NDVI数据,构建草地判别规则,利用决策树分类法对雅鲁藏布江源区草地类型进行遥感识别。研究结果表明:①不同类型草地因其生境不同,利用不同波段组合特征进行草地类型识别能够达到较好的效果;②与传统的监督分类法相比,基于波段组合特征的决策树分类法具有较高的识别精度(总体精度提高了15.4%,Kappa系数提高了0.225);③在海拔4 400～5 000 m区域内,固沙草草原面积最大,其次为矮嵩草和小嵩草混生草甸,再次为变色锦鸡儿和金露梅灌丛,藏北嵩草草甸面积最小。
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| 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 |
The Identification of Grassland Types in the Source Region of the Yarlung Zangbo River Based on Spectral Features |
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| SUN Ming,SHEN Wei-shou,XIE Min,LI Hai-dong,GAO Fei.The Identification of Grassland Types in the Source Region of the Yarlung Zangbo River Based on Spectral Features[J].Remote Sensing for Land & Resources,2012(1):83-89. |
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| Authors: | SUN Ming SHEN Wei-shou XIE Min LI Hai-dong GAO Fei |
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| Institution: | 1.Nanjing Institute of Environmental Sciences,Ministry of Environmental Protection,Nanjing 210042,China; 2.Institute of Meteorological Disaster Mitigation of Guangxi/Remote Sensing Applying and Experiment Base of National Meteorological Satellite Center,Nanning 530022,China;3.Guangxi Climate Center,Nanning 530022,China; 4.Qinhuai River Hydraulic Management Agency of Jiangsu Province,Nanjing 210001,China) |
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| 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. |
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| Keywords: | spectral feature decision tree classification remote sensing source region of the Yarlung Zangbo river grassland types |
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