[1]HE Zhong-hua,CHEN Xiao-xiang,LIANG Hong,et al.Quantitative Remote Sensing Monitoring and Analysis of Karst Water Resources Based on NDVI-Taking Guizhou Province as a Case[J].Research of Soil and Water Conservation,2012,19(03):161-165.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
19
Number of periods:
2012 03
Page number:
161-165
Column:
Public date:
2012-06-20
- Title:
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Quantitative Remote Sensing Monitoring and Analysis of Karst Water Resources Based on NDVI-Taking Guizhou Province as a Case
- Author(s):
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HE Zhong-hua1,2, CHEN Xiao-xiang1, LIANG Hong2, HUANG Fa-su3, ZHAO Fang4
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1. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China;
2. School of Geographic and Environmental Science, Guizhou Normal University, Guiyang 550001, China;
3. Department of Hydrology and Water Resources, Guiyang, Guizhou 550001, China;
4. Vocational and Technical School, Baiyun District of Guiyang City, Guizhou 550014, China
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- Keywords:
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karst basin; karst water resources; Landsat TM image; NDVI; monitoring model
- CLC:
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TV211.13;P208.2
- DOI:
-
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- Abstract:
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Karst is a vulnerable eco-environment. Water resources are important part of the fragile eco-environment. NDVI is the importance index of the Karst Basin water-holding condition and spatial distribution, therefore, to monitor the karst water resources is an important behavior of studying the vulnerable eco-environment. 20 watersheds were selected as the study areas in Guizhou Province in this paper. According to Landsat TM spectral characteristics of vegetation, LNDVI and ρNDVI were extracted by using remote sensing techniques. The model of karst drainage basin water resources monitoring was established by using mathematical analysis. It could be obtained by the analysis that the vegetation coverage was an important indicator of the karst basin water-holding, the karst basin water resources monitoring by using surface feature apparent reflectance of the normalized difference vegetation index was better results and higher accuracy, and the remote sensing monitoring model of karst water resources was established.