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REMOTE SENSING FOR LAND & RESOURCES    2011, Vol. 23 Issue (4) : 64-68     DOI: 10.6046/gtzyyg.2011.04.12
Technology and Methodology |
A Study of the Classification Method for Mountainous and Non-mountainous Regions Based on ArcGIS
YANG Bin1,2, GU Xiu-mei3, LIU Jian4, YANG Yan-li4
1. College of Environment and Resource, Southwest University of Science and Technology, Mianyang 621010, China;
2. College of Water Sciences, Beijing Normal University, Beijing 100875, China;
3. Confidentiality Office, Southwest University of Science and Technology, Mianyang 621010, China;
4. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
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Abstract  

As a special physiognomy in nature, the mountainous region has peculiarities of uncertainty, complexity and multifactor, and digitization and classification should be conducted to find out its specific nature. With the support of spatial analysis and mathematical statistics, four factors were extracted and analyzed on the basis of ArcGIS application characteristics in Sichuan Province. They were absolute elevation, relative elevation, slope and terrain roughness. An integrated classification system for mountainous region was built by statistical methods to generalize these tow factors into two major factors and figure out the critical value of classification. The final classification results for mountainous and non-mountainous regions in Sichuan Province were extracted by using the ArcGIS grid calculator. The extraction results show that this method has reached the accuracy of the classification levels by the traditional method, thus laying the research foundation for realizing 'digitized mountainous region.

Keywords Water-leaving reflectivity      Seawater clarity      Pearl River estuary     
:  P 208  
  TP 79  
Issue Date: 16 December 2011
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Cite this article:   
CHEN Lei,XIE Jian,PENG Xiao-juan, et al. A Study of the Classification Method for Mountainous and Non-mountainous Regions Based on ArcGIS[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(4): 64-68.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2011.04.12     OR     https://www.gtzyyg.com/EN/Y2011/V23/I4/64
[1] CHEN Lei, XIE Jian, PENG Xiao-juan, LI Zhen, LOU Quan-sheng, ZHANG Xiao-hao, YANG Fan. The Relationship Between Seawater Clarity and Water-leaving Reflectance Spectra of Seawater in the Pearl River Estuary[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(3): 151-155.
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