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全文摘要次数: 105 全文下载次数: 100
引用本文:

DOI:

10.11834/jrs.20211221

收稿日期:

2021-04-17

修改日期:

2021-07-15

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基于卫星雷达测高技术的湖库动态监测理论、方法和研究进展
姜丽光1, 刘俊2
1.南方科技大学 环境科学与工程学院;2.Department of Environmental Engineering,Technical University of Denmark, Kgs Lyngby,Denmark
摘要:

水位是反应水体变化的重要变量,利用卫星测高技术获取湖库的水位信息,很大程度上改变了传统地面观测数据匮乏的现状。本文综述了卫星雷达测高技术在湖泊和水库动态监测方面的理论、主要的数据处理方法和数据产品,以及当前的主要研究进展。从文献检索可以看出,当前的应用研究对象主要聚焦在个别湖泊或小范围内的湖泊群;在数据处理方面,数据以单一测高任务数据为主,并依赖于主流数据库的三级产品,针对一级、二级产品的数据处理方法研究较少;在研究主题方面,主要以湖库水位变化趋势及影响因素分析为主,也有少量研究聚焦在水量估算、流域水文模拟等方向。未来发展新的数据处理方法,如全聚焦SAR技术等,来提高中小型湖库的测高数据精度,将为测高研究带来新的机遇。

Monitoring lakes and reservoirs based on satellite radar altimetry- theory, method and progresses
Abstract:

Water level (or water surface elevation) is a fundamental hydrological variable. However, collection of water levels of lakes and reservoirs is laborious and expensive based on traditional methods. Satellite altimetry has largely changed the situation in the recent decade. This paper reviews the basic theory, data processing approaches and major products of radar altimetry, as well as the progresses made in inland altimetry, especially for lakes and reservoirs. The major findings show that (1) current studies mainly focus on one certain or a few lakes for detailed study; (2) most studies use data of one certain satellite altimetry mission (such as Jason or Envisat) and heavily rely on high level products, while less studies focus on the data processing of low level products; (3) the research topics are primarily about the changing trends and related drivers, and some are researching the water storage estimations and watershed hydrological modelling. In the future, more advanced data processing techniques (such as full-focused SAR) are needed to improve the quality of altimetry data over relatively small lakes and reservoirs. High quality data will open up more opportunities for hydrological research.

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