岸线动态变化立体监测及管理信息系统建设依据国家和行业有关规程,结合岸线管理的实际情况,研发一套岸线监测及管理软件。该系统分为3个部分:基于C/S构架的岸线遥感影像管理与动态监测系统(天上看)、基于C/S构架的岸线综合监控与执法管理系统(网上管)、基于移动端开发的岸线移动巡查执法系统(地上查)。在对地观测技术和互联网技术的推动下,该系统采用遥感监测技术,由卫星、无人机等对地立体观测手段采集多期影像,通过叠加分析,发现地表变化位置信息及有关要素后形成专题数据,综合反映出整个监测区域的土地利用状况、堤防毁损、违法占地、侵占水利设施等情况,提供给相关监管部门辅助执法,实现岸线的动态监测与管理。
Abstract
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.
关键词
岸线动态变化 /
立体监测 /
无人机 /
卫星遥感 /
岸线综合监控与执法 /
岸线移动巡查执法 /
管理信息系统
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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参考文献
[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.
基金
国家重点研发计划项目(2017YFC1502601)
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