Digital regionalization of geomorphology in Xinjiang
文献类型：期刊论文
| 作者 | Cheng Weiming ; Zhou Chenghu(周成虎)
|
| 刊名 | JOURNAL OF GEOGRAPHICAL SCIENCES
 |
| 出版日期 | 2009 |
| 卷号 | 19期号:5页码:600-614 |
| 关键词 | geomorphology geomorphologic regionalization geographical grid system clustering |
| ISSN号 | 1009-637X |
| 通讯作者 | Chai HX |
| 学科主题 | Geography, Physical |
| 收录类别 | SCI |
| 资助信息 | National Natural Science Foundation of China [40871177]; Project of State Key Lab of Resources and Environmental Information System [088RA304SA]; CAS Knowledge Innovation Project |
| 语种 | 英语 |
| 公开日期 | 2011-05-25 |
| 附注 | This paper presents a method of geomorphologic regionalization for Xinjiang, with the use of Srtm-DEM (resolution 90 m) and TM images for 1990 (resolution 30 m). After interpretation and classification of geonnorphologic types, the present research focuses on the qualitative and quantitative distribution of different geornorphologic types based on geographical grid analysis. Then, by using system clustering analysis method, geomorphologic types are grouped into divisions. The resulting geomorphologic regionalization hierarchy of Xinjiang includes three levels, i.e., macro-landform divisions, medium-landform divisions, and micro-landform divisions, containing 6, 23 and 200 types, respectively. This method makes it possible to digitally delimit geornorphologic regions. Comparison and verification show that the spatial precision of the boundaries of geomorphologic subareas in Xinjiang is very high. |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/3082]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 推荐引用方式 GB/T 7714 | Cheng Weiming,Zhou Chenghu. Digital regionalization of geomorphology in Xinjiang[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2009,19(5):600-614. |
| APA | Cheng Weiming,&Zhou Chenghu.(2009).Digital regionalization of geomorphology in Xinjiang.JOURNAL OF GEOGRAPHICAL SCIENCES,19(5),600-614. |
| MLA | Cheng Weiming,et al."Digital regionalization of geomorphology in Xinjiang".JOURNAL OF GEOGRAPHICAL SCIENCES 19.5(2009):600-614. |
入库方式： OAI收割
来源：地理科学与资源研究所
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