可靠、准确、动态的南海浅海地形和海底反射率数据对于海军国防、国家主权外交争议以及航运、油气、渔业等国民经济重要行业均是至关重要的基础数据。我国这方面数据积累严重缺乏。卫星可提供大面积、长期以及船只无法抵达和有海权争议海域的观测。本研究将利用高光谱和海岸带多光谱卫星数据，建立适用于南海的业务化监测高光谱和海岸带多光谱浅海地形反演新算法并确定其反演误差；利用该算法生成高空间分辨率南海岛礁区水深分布图和海底类型分布图；利用时间序列卫星数据对所关注的岛礁海域进行动态监测；为南海权益保障提供基本数据集；为有关部门提出适合于南海岛礁区浅海地形监测的光学卫星传感器最佳设计方案。

Reliable and accurate shallow water bathymetry and bottom reflectance of South China Sea (SCS) are very important data for naval defense, national sovereignty, diplomatic disputes as well as many important national economy industry such as navigation, oil and gas, fisheries. But China are serious lack of those data. Satellites can provide synoptic, long-term and shallow waters observation that vessels cannot reach. This research will utilize hyperspectral and coastal multi-spectral satellite data to develop a new operational shallow water bathymetry retrieval model for SCS and determine its error; to apply this model to create high spatial resolution shallow water bathymetric map and bottom reflectance distribution map around islands and reefs in the SCS; to monitor concerned islands and reefs using time series satellite data to provide basic data set for rights protection ; to propose a suitable optical satellite sensor design for shallow water bathymetry inversion for China government.