Analysis of Surface Information Extraction of Erhai Lake Basin in Dali City Based on Remote Sensing Technology, 2005 - 2017
Authors: 
Quan-Li Xu, Chao Guo, Wen DongAuthors Info & Claims
Article No.: 26, Pages 1 - 6
Abstract
In order to explore the spatial pattern and characteristics of surface information in Erhai Lake basin in Dali city, by using the Landsat 5 and Landsat 8 remote sensing images of which in 2005, 2008, 2011, 2014 and 2017, the surface information of the bare land, vegetation, water body and impervious surface in Erhai Lake basin were extracted based on the Normalized Difference Soil Index (NDSI), the Normalized Difference Vegetation Index (NDVI), the Modified Normalized Difference Water Index (MNDWI) and the Normalized Difference Impervious Surface Index (NDISI). By analyzing the extracted information, the spatial distribution characteristics of the main surface objects were explored and the impacts of which on the ecological environment were studied. This study indicated that the area of the impervious surface in Erhai Lake basin was increasing year by year, but the water quality there was decreasing in recent years. The comprehensive use of GIS, RS and statistical analysis method is the main innovation of this research, and the results can provide reference information for urban planning management and river basin environmental management in Erhai Lake Basin.
References
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Index Terms
- Analysis of Surface Information Extraction of Erhai Lake Basin in Dali City Based on Remote Sensing Technology, 2005 - 2017
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Published In
July 2017
211 pages
ISBN:9781450352871
DOI:10.1145/3144789
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In-Cooperation
- Wanfang Data: Wanfang Data, Beijing, China
- International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 July 2017
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- Research
- Refereed limited
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- the National Natural Science Foundation of China
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IIP'17
IIP'17: 2017 2nd International Conference on Intelligent Information Processing
July 17 - 18, 2017
Bangkok, Thailand
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ICIIP '17 Paper Acceptance Rate 32 of 202 submissions, 16%;
Overall Acceptance Rate 87 of 367 submissions, 24%
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