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引用本文:宋春桥,詹鹏飞,马荣华.湖泊水情遥感研究进展.湖泊科学,2020,32(5):1406-1420. DOI:10.18307/2020.0514
SONG Chunqiao,ZHAN Pengfei,MA Ronghua.Progress in remote sensing study on lake hydrologic regime. J. Lake Sci.2020,32(5):1406-1420. DOI:10.18307/2020.0514
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湖泊水情遥感研究进展
宋春桥1, 詹鹏飞1,2, 马荣华1
1.中国科学院南京地理与湖泊研究所流域地理学重点实验室, 南京 210008;2.中国科学院大学, 北京 100049
摘要:
湖泊作为最直接的淡水资源之一,在人类的生产、生活各方面都占据至关重要的地位.受到全球气候变化与人类活动的影响,湖泊正在发生急剧变化,因而有必要对其进行快速、准确的时空变化监测,从而为水资源管理与保护、未来气候变化预警提供依据.遥感技术的产生与发展为大范围、实时动态的湖泊变化监测提供了难得的契机,它克服了人类对湖泊实地考察的局限性.本文对现有国内外湖泊水情遥感监测技术与方法进行了综合梳理,主要综述了国内外在湖泊水域范围提取、湖泊水位提取、湖泊水量估算、流域水文过程等方面的遥感研究进展情况,重点总结了该领域近年来提出的新方法和新技术.最后,结合当前遥感技术的发展,对未来遥感在湖泊动态变化监测中的应用潜力和趋势进行了简要论述,并对多源遥感数据融合与云计算平台的结合在地表水体连续变化监测中的应用进行了展望.
关键词:  湖泊  水文  遥感  流域  全球变化
DOI:10.18307/2020.0514
分类号:
基金项目:中国科学院战略性先导科技专项子课题(XDA23100102) 、国家重点研发计划项目(2019YFA0607101,2018YFD0900804,2018YFD1100101)、人才引进计划项目(Y7QR011001)和国家自然科学基金项目(41971403,41801321)联合资助.
Progress in remote sensing study on lake hydrologic regime
SONG Chunqiao1, ZHAN Pengfei1,2, MA Ronghua1
1.Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P. R. China;2.University of Chinese Academy of Sciences, Beijing 100049, P. R. China
Abstract:
As the key component of available freshwater resources, lakes play an important role in all aspects of life and human activities. Influenced by global climate change and human intervention, lakes have been undergoing rapid changes. Thus it is necessary to conduct lasting and accurate investigation of spatial and temporal variations of these lakes, serving better for water resources management and protection, and early warning of future climate change risks. The emergence and development of remote sensing technology provides great opportunity for large-scale and near real-time monitoring of lake dynamics, which overcomes the limitations of field-based investigation of lakes. In this paper, the existing remote sensing technologies and methods of lake monitoring are reviewed, and the progress of remote sensing research in the aspects of lake area extraction, lake level reconstruction, lake water volume/storage variation estimation, etc., are summarizes. This review focuses on the new methods and new technologies employed in recent years. The application prospect of multi-source remote sensing data fusion and cloud computing platform in continuous change monitoring of surface water bodies is also mentioned. Finally, in view of the promising development of remote sensing technology, the application potential and prospective of remote sensing monitoring of lake dynamics in the future are discussed briefly.
Key words:  Lake  hydrology  remote sensing  watershed  global change
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