基于ETM+和DEM的西藏灌木林遥感分类技术

doi:10.11707/j.1001-7488. 20110103

林业科学 ›› 2011, Vol. 47 ›› Issue (1): 15-21.doi: 10.11707/j.1001-7488. 20110103

基于ETM+和DEM的西藏灌木林遥感分类技术

张超^1,2, 黄清麟², 朱雪林³, 张晓红², 普布顿珠³, 旦增³

1. 西南林业大学资源学院昆明 650224;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北京 100091;3. 西藏自治区林业调查规划研究院拉萨 850000

收稿日期:2009-12-07 修回日期:2010-05-07 出版日期:2011-01-25 发布日期:2011-01-25
通讯作者: 黄清麟

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

Zhang Chao^1,2, Huang Qinglin², Zhu Xuelin³, Zhang Xiaohong², Pubu Dunzhu³, Dan Zeng³

1. Faculty of Natural Resources, Southwest Forestry University Kunming 650224;2. Key Laboratory of Forestry Remote Sensing and Information Technology, State Forestry Administration Institute of Forest Resources Information Techniques, CAF Beijing 100091;3. Forest Inventory and Planning Institute of Tibet Autonomous Region Lasa 850000

Received:2009-12-07 Revised:2010-05-07 Online:2011-01-25 Published:2011-01-25

摘要/Abstract

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NDVI 4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%。

关键词: 西藏, 灌木林, 遥感分类, 空间分布特征

Abstract:

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%.

Key words: Tibet, shrub, remote sensing classification, spatial distribution

中图分类号:

S757
S771

张超;黄清麟;朱雪林;张晓红;普布顿珠;旦增. 基于ETM+和DEM的西藏灌木林遥感分类技术[J]. 林业科学, 2011, 47(1): 15-21.

Zhang Chao;Huang Qinglin;Zhu Xuelin;Zhang Xiaohong;Pubu Dunzhu;Dan Zeng. Remote Sensing Classification Technique of Shrub in Tibet Based on ETM+ and DEM[J]. Scientia Silvae Sinicae, 2011, 47(1): 15-21.

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基于ETM+和DEM的西藏灌木林遥感分类技术

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

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