The establishment of the stereoscopic monitoring and management information system for riverbank dynamic changes is based on China’s relevant regulations in line with the actual situation of riverbank management. The system is composed of three parts: the riverbank remote sensing image management and dynamic monitoring system based on C/S frame (space-based monitoring), the integrated riverbank supervision management system based on C/S frame (network management), and the mobile survey system based on mobile terminal (ground survey). The system adopts advanced remote sensing monitoring technology acquiring multiphase images by satellite and UAV, and perceives the abnormal changes via overlay analysis, such as land use change, embankment damage, invading and occupying riverbank territory and water conservancy facilities, and so on. It can assist relevant authorities in the dynamic monitoring and management of riverbank by professional data.
Key words
riverbank dynamic change /
stereoscopic monitoring of riverbank /
UAV /
satellite remote sensing /
comprehensive monitoring and law enforcement for bankline /
mobile survey and law enforcement for bankline /
management information system
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References
[1] 王 桥, 王文杰. 基于遥感的宏观生态监测技术研究[M]. 北京: 中国环境科学出版社, 2006.
[2] 贾海峰, 刘雪华. 环境遥感原理与应用[M]. 北京: 清华大学出版社, 2006.
[3] 丁志雄.基于RS与GIS的洪涝灾害损失评估技术方法研究[D].北京:中国水利水电科学研究院,2004.
[4] HE Q, KANG L, SUN X, et al. Spatiotemporal Distribution and Potential Risk Assessment of Microcystins in the Yulin River, a Tributary of the Three Gorges Reservoir, China.[J]. Journal of Hazardous Materials, 2018, 347: 184-195.
[5] HARRIS M J, STINSON J, LANDIS W G. A Bayesian Approach to Integrated Ecological and Human Health Risk Assessment for the South River, Virginia Mercury Contaminated Site[J]. Risk Analysis, 2017, 37(7): 1341-1357.
[6] BARNES B B, HU CHUANMIN, HOLEKAMPK L, et al. Use of Landsat Data to Track Historical Water Quality Changes in Florida Keys Marine Environments[J]. Remote Sensing of Environment, 2014, 140: 485-496.
[7] DUAN Zheng, BASTIAANSSEN W G M. Estimating Water Volume Variations in Lakes and Reservoirs from Four Operational Satellite Altimetry Databases and Satellite Imagery Data[J]. Remote Sensing of Environment, 2013, 134: 403-416.
[8] CHANG L L, ZHOU Z J, YOU Y, et al. Belief Rule Based Expert System for Classification Problems with New Rule Activation and Weight Calculation Procedures[J]. Information Sciences, 2016,336(1): 75-91.
[9] RICHTER B D, BAUMGARTNER J V, POWELL J, et al. A Method for Assessing Hydrologic Alteration within Ecosystems[J]. Conservation Biology, 1996, 10(4): 1163-1174.
[10]GLEICK P H. Water in Crisis: Paths to Sustainable Water Use[J]. Ecological Application, 1996, 8(3): 570-580.
[11]江 迎. 基于云模型和GIS/RS的坝堤溃决风险分析及灾害损失评估研究[D]. 武汉:华中科技大学, 2012.
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