KMS Institute of Mountain Hazards and Environment,CAS
| DEM based research on the landform features of China | |
| Language | 英语 |
| Tang Guoan1; Liu, Aili1; Li Fayuan2; Zhou Jieyu1 | |
| 2006 | |
| Source Publication | GEOINFORMATICS 2006: GEOSPATIAL INFORMATION SCIENCE |
| Author of Source | Gong, JY ; Zhang, JX |
| Volume | 6420 |
| Pages | 64201Y |
| meeting | 14th International Conference on Geoinformatics |
| Conference Date | OCT 28-29, 2006 |
| Conference Place | Wuhan |
| Country | PEOPLES R CHINA |
| Publication Place | BELLINGHAM |
| Publisher | SPIE-INT SOC OPTICAL ENGINEERING |
| Contribution Rank | 2 |
| Abstract | Landforms can be described and identified by parameterization of digital elevation model (DEM). This paper discusses the large-scale geomorphological characteristics of China based on numerical analysis of terrain parameters and develop a methodology for characterizing landforms from DEMs. The methodology is implemented as a two-step process. First, terrain variables are derived from a 1-km DEM in a given statistical unit including local relief, the earth's surface incision, elevation variance coefficient, roughness, mean slope and mean elevation. Second, every parameter regarded as a single-band image is combined into a multi-band image. Then ISODATA unsupervised classification and the Bayesian technique of Maximum Likelihood supervised classification are applied for landform classification. The resulting landforms are evaluated by the means of Stratified Sampling with respect to an existing map and the overall classification accuracy reaches to rather high value. It's shown that the derived parameters carry sufficient physiographic information and can be used for landform classification. Since the classification method integrates manifold terrain indexes, conquers the limitation of the subjective cognition, as well as a low cost, apparently it could represent an applied foreground in the classification of macroscopic relief forms. Furthermore, it exhibits significance in consummating the theory and the methodology of DEMs on digital terrain analysis. |
| Keyword | DEM geomorphological parameter landform classification China |
| DOI | 10.1117/12.712988 |
| ISBN | 978-0-8194-6529-0 |
| ISSN | 0277-786X |
| Indexed By | EI ; CPCI |
| Accession number | Accession number:20070710420382 |
| WOS ID | WOS:000245104000070 |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.imde.ac.cn/handle/131551/33516 |
| Collection | 成都山地所知识仓储（2009年以前） |
| Corresponding Author | Tang Guoan |
| Affiliation | 1.Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, No. 122, Ninghai road, Nanjing, Jiangsu 210097, China; 2.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, No.9, Block 4, Renmingnan Road, Chengdu, Sichuan 610041, China |
| First Author Affilication | 中国科学院水利部成都山地灾害与环境研究所 |
| Corresponding Author Affilication | 中国科学院水利部成都山地灾害与环境研究所 |
| Recommended Citation GB/T 7714 | Tang Guoan,Liu, Aili,Li Fayuan,et al. DEM based research on the landform features of China[C]//Gong, JY, Zhang, JX. BELLINGHAM:SPIE-INT SOC OPTICAL ENGINEERING,2006:64201Y. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 李发源（第三作者）：DEM based （801KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Application Full Text | ||
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