水科学进展2016，Vol.27Issue(1)：139-151,13.DOI:10.14042/j.cnki.32.1309.2016.01.015
海洋重要水文参数的卫星遥感反演研究综述
Satellite retrieval of important ocean hydrological parameters: an overview
摘要
Abstract
The ocean, which covers 71 percent of the Earth' s surface, is a fundamental component of the global wa-ter cycle. Accurately monitoring the spatial and temporal dynamics of ocean hydro-physical parameters is important for comprehensive understanding of the global water cycle and the effective management of ocean water resources. Ocean remote sensing is a new and advanced space-based technique for estimating spatio-temporally distributed hydro-physical parameters. With five-decades of aerospace satellite sensors development, remote sensing approaches to re-trieving ocean hydro-physical parameters appear mature. This paper briefly describes the principles of and retrieval al-gorithms for the main ocean hydro-physical parameters of Sea Surface Height ( SSH) , Sea Depth ( SD) , Sea Surface Current ( SSC) and Water Volume Variation ( WVV) using optical, passive-microwave and active-microwave remote sensing or combinations thereof. For each ocean hydro-physical parameter, the deficiencies of a single satellite sensor algorithm can be alleviated with the combined use of multi-sensors. Additionally, with the improvement of retrieval techniques, several regional and global hydro-physical parameter datasets have been generated. Hence, this paper also briefly describes the main datasets and their applications. Furthermore, to improve the retrieval accuracy of each hydro-physical parameter, the combination of observations from different sensors is a promising approach. As a result of international efforts, several new satellites are also scheduled to be launched into space, for example, the joint CNES-NASA satellite project SWOT ( launch date in 2020) and China′s second space lab, Tiangong-2 ( launch date in 2016) . These satellites will greatly improve our ability to monitor the spatial and temporal dynamics of ocean hydro-physical parameters.关键词
海洋水文参数/反演算法/光学遥感/微波遥感/多传感器联合反演/全球数据集Key words
ocean hydrological parameters/retrieval algorithm/optical remote sensing/microwave remote sensing/multi-sensor based retrieval/global dataset分类
建筑与水利引用本文复制引用
吴桂平,刘元波..海洋重要水文参数的卫星遥感反演研究综述[J].水科学进展,2016,27(1):139-151,13.基金项目
国家自然科学基金资助项目(41430855 （）
41401506) The study is financially supported by the National Natural Science Foundation of China (No. 41430855 （）
No.41401506) . （）
