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基于ETM+和DEM的西藏灌木林遥感分类技术     被引量:8

Remote Sensing Classification Technique of Shrub in Tibet Based on ETM + and DEM

文献类型:期刊文献

中文题名:基于ETM+和DEM的西藏灌木林遥感分类技术

英文题名:Remote Sensing Classification Technique of Shrub in Tibet Based on ETM + and DEM

作者:张超[1,2] 黄清麟[2] 朱雪林[3] 张晓红[2] 普布顿珠[3] 旦增[3]

第一作者:张超

机构:[1]西南林业大学资源学院;[2]中国林业科学研究院资源信息研究所国家林业局林业遥感与信息技术重点实验室;[3]西藏自治区林业调查规划研究院

年份:2011

卷号:47

期号:1

起止页码:15-21

中文期刊名:林业科学

外文期刊名:Scientia Silvae Sinicae

收录:CSTPCD;;Scopus;北大核心:【北大核心2008】;CSCD:【CSCD2011_2012】;

基金:中国林科院中央级公益性科研院所基本科研业务费专项资金重点项目"西藏灌木林资源评价与遥感监测技术研究"(CAFYBB2007001);重点课题"西藏森林生态安全屏障功能评估与生态补偿机制研究"(CAFYBB2008035-1)

语种:中文

中文关键词:西藏;灌木林;遥感分类;空间分布特征

外文关键词:Tibet; shrub; remote sensing classification; spatial distribution

分类号:S757;S771

摘要:对西藏地区主要类型灌木林进行外业遥感调查,选取海拔、坡向、坡度和NDVI4个影响西藏灌木林空间分布的主要指标,采用判别分析方法,构建判别模型和判别规则,提取基于空间分布特征的识别决策,基于覆盖研究区的ETM+和DEM,进行西藏灌木林的遥感分类技术研究。结果表明:基于灌木林空间分布特征的遥感分类精度达到86.24%,其中,狼牙刺-沙棘-红柳组合的分类精度最高,为95.00%,杜鹃-小檗和高山柳-铺地柏组合的分类精度相当,分别为81.08%和81.25%。
The classification of shrub types in Tibet with the remote sensing would be efficient because of the large size of shrub patch and pure stand mostly.Based on an investigation on the main types of shrub in Tibet by using the remote sensing,elevation,slope,aspect and NDVI were chosen as the main factors influncing spatial distribution of shrubs and discriminate model and rules were established by using the method of discriminate analysis.The remote sensing classification technique of shrub,used in Tibet,was discussed,and an assistant classification was carried out based on spatial distribution.The result showed the accuracy of assistant classification was carried out based on the spatial distribution.Characteristics was 86.24% ,which met the requirements of forestry production.The accuracy of the mixed forests of Sophora davidii,Hippophae and Tamarix ramosissima was 95.00% ,and the accuracy of the other groups were 81.08% and 81.25% .

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