IMHE OpenIR  > 成都山地所知识仓储(2009年以前)
DEM-based Watershed Topographic Attributes Extraction and Analysis
Language英语
Yuan Lifeng1; Zhou Qigang1; Zhang Qingfeng2; Li Wenwen3; Jiang Weiguo4
2006
Source Publication2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8
Pages902-904
meetingIEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Conference DateJUL 31-AUG 04, 2006
Conference PlaceDenver
CountryCO
Publication PlaceNEW YORK
PublisherIEEE
Contribution Rank1
AbstractThis paper study topographic attributes extraction and analysis methods based on grid DEMs. We used mathematic statistics method and comparative analysis to analyze effect of DEMs with different resolutions on the outcome of topographic terrain extraction, including slope, topographic index (i.e. In (alpha/tan beta)), watershed area, and drainage network. The results show that effect of DEMs with different resolution on topographic attributes is different. Terrain is smoothed, the mean slope decreases, the mean value of In(alpha/tan beta) distribution increases, the total area of watershed increases, the count of subwatersheds decrease, the total length of streams decrease, and the drainage density decreases as DEMs grid size increase.
KeywordDEM Topographic attribution Watershed delineation
DOI10.1109/IGARSS.2006.234
ISBN978-0-7803-9509-1
ISSN2153-6996
Indexed ByEI ; CPCI
Accession numberAccession number:20074110856339
WOS IDWOS:000260989400229
Citation statistics
Document Type会议论文
Identifierhttp://ir.imde.ac.cn/handle/131551/33512
Collection成都山地所知识仓储(2009年以前)
Corresponding AuthorYuan Lifeng
Affiliation1.Institute of Mountain Hazards and Environment, Graduate School, CAS, Beijing, China;
2.College of Resources and Environment, NWAFU, Yangling, China;
3.State Key Laboratory of Remote Sensing Information Sciences, IRSA, CAS, Beijing, China;
4.College of Resources Science and Technology, BNU, Beijing, China
Recommended Citation
GB/T 7714
Yuan Lifeng,Zhou Qigang,Zhang Qingfeng,et al. DEM-based Watershed Topographic Attributes Extraction and Analysis[C]. NEW YORK:IEEE,2006:902-904.
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