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Remote Sensing for Natural Resources    2022, Vol. 34 Issue (4) : 194-202     DOI: 10.6046/zrzyyg.2021353
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GIS-based study on the deployment of video monitoring points for epidemic prevention in the Xishuangbanna border area
LI Yimin1,2(), YANG Yiming1, ZHAO Zhifang1,2,3(), WU Bowen1
1. College of Earth Science, Yunnan University, Kunming 650500, China
2. Yunnan University Research Center of Domestic High-Resolution Satellite Remote Sensing Geological Engineering, Kunming 650500, China
3. Key Laboratory of Sanjiang Metallogeny and Resources Exploration, Ministry of Natural Resources, Kunming 650500, China
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Abstract  

The deployment of video monitoring points for epidemic prevention in border areas is an important measure to deal with emergencies and has great significance for regional public health security. The deployment of video monitoring points mainly focused on cities in the past. Few studies concerned the deployment of video monitoring points based on the characteristics of border areas and emergency response needs. This study constructed a framework for the deployment of video monitoring points for epidemic prevention in the border area of Xishuangbanna Dai Autonomous Prefecture. The suitability and limiting factors of monitoring points were determined for the multi-round selection of monitoring points. More monitoring points were deployed properly in areas with low monitoring efficiency. Finally, the appropriate deployment sites for epidemic prevention monitoring points in Xishuangbanna were determined. The results are as follows. With the video monitoring points for epidemic prevention determined in this study, 93.3% of the area within 5 km of the Xishuangbanna border can be observed. Thus, information on people flow at the border can be comprehensively obtained. Compared with the conventional site selection methods using single-dimensional suitability, mathematical modeling, and algorithms, the proposed deployment method of video monitoring points for border epidemic prevention is more suitable for the actual situation of border areas and can give full play to the overall coordination level of the deployment of monitoring points. Besides, this proposed method avoids the complex application of conventional methods. Therefore, the site selection method of video monitoring points for epidemic prevention proposed in this study provides theoretical reference and technical support for current COVID-19 prevention in border areas, so as to ensure regional public health security and national sustainable development.
Keywords geographic information system      video monitoring point      site selection methods      visibility analysis      the border     
ZTFLH:  TP79  
Issue Date: 27 December 2022
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Yimin LI
Yiming YANG
Zhifang ZHAO
Bowen WU
Cite this article:   
Yimin LI,Yiming YANG,Zhifang ZHAO, et al. GIS-based study on the deployment of video monitoring points for epidemic prevention in the Xishuangbanna border area[J]. Remote Sensing for Natural Resources, 2022, 34(4): 194-202.
URL:  
https://www.gtzyyg.com/EN/10.6046/zrzyyg.2021353     OR     https://www.gtzyyg.com/EN/Y2022/V34/I4/194
Fig.1  Location of the study area
Fig.2  Framework for deployment of video surveillance points for border epidemic prevention
Fig.3  Flow chart of peak point extraction in the study area
选址指标 单位 分级标准 性质
NDVI 无量纲 低植被覆盖区
[-1,-0.54)		 较低植被覆盖区
[-0.54,-0.16)		 中度植被覆盖区
[-0.16,0.31)		 较高植被覆盖区
[0.31,0.75)		 高植被覆盖区
[0.75,1)		 正向
人口密度 人/栅格 低人口密度区
[0,7)		 较低人口密度区
[7,34)		 中人口密度区
[34,51)		 较高人口密度区
[51,150)		 高人口密度区
≥150		 正向
交通密度 km·km-2 低交通密度区
[0,10.20)		 较低交通密度区
[10.20,33.67)		 中交通密度区
[33.67,68.36)		 较高交通密度区
[68.36,122.44)		 高交通密度区
≥122.44		 正向
坡度 (°) 平坡[0,5) 斜坡[5,25) 陡坡[25,35) 急坡[35,45) 险坡≥45 负向
水系 无量纲 视频监控点可布置区水系50 m缓冲区范围外 视频监控点禁止布置区水系50 m缓冲区范围内 负向
坡位 无量纲 视频监控点可布置区西双版纳上、中坡位区域 视频监控点禁止布置区西双版纳州下坡位区域 负向
Tab.1  Classification of location factors of video monitoring points
Fig.4  
Fig.5  Initial peak position
Fig.6  Results of video monitoring point location factor
Fig.7  Preliminary video surveillance site
Fig.8  View analysis of video surveillance site selection
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