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| 基于ETM+和DEM的西藏灌木林遥感分类技术 | |
| 引用本文： | 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) |
| 作者姓名： | 张超 黄清麟 朱雪林 张晓红 普布顿珠 旦增 |
| 作者单位： | 1. 西南林业大学资源学院,昆明,650224;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 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 |
| 基金项目： | 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，重点课题 |
| 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 |
Remote Sensing Classification Technique of Shrub in Tibet Based on ETM+ and DEM |
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| 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) | |
| Authors: | Zhang Chao Huang Qinglin Zhu Xuelin Zhang Xiaohong Pubu Dunzhu Dan Zeng |
| Affiliation: | Zhang Chao1,2 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) |
| 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 d... |
| Keywords: | Tibet shrub remote sensing classification spatial distribution |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |