东海赤潮遥感自动监测系统开发与应用

赤潮是最严重的海洋灾害之一,它不仅破坏海洋渔业生产、恶化海洋环境、影响滨海旅游业,而且还会影响人类健康。卫星遥感技术具有覆盖范围广、重复率高、成本低廉等优势,近年来已成为赤潮监测不可或缺的重要手段。本研究利用C++语言建立了一套赤潮遥感监测系统。该系统能自动接收和处理遥感数据,并利用赤潮水体的光谱和固有光学量特征自动提取赤潮信息。在实际业务化应用中,该系统被国家监测部门采用,在2013年4月至9月东海赤潮高发期间,该系统制作了55期赤潮遥感监测产品,用于指导船舶现场监测工作,取得了良好的应用效果。利用本系统对近年来东海发生的27次大型赤潮事件进行了发生位置和面积的提取,并与现场观测结果进行比较。结果显示,系统对大部分赤潮范围的识别有较好的效果,对赤潮识别准确度大概在80%左右。

Development and application of the HAB automatic monitoring system in the East China Sea

Harmful algal blooms(HAB) is one of the most serious marine disasters, which not only reduces fishery production, deteriorates the marine environment, affects coastal tourist industry, but also causes human poison. The satellite remote sensing technology has the characteristics of large-scale, low cost, synchronized and rapid monitoring, therefore it becomes an important method for HAB observation. In this paper, a HAB remote sensing monitoring system is developed based on C++ language. The system can achieve the whole procedure automatically from the satellite remote data acquirement and satellite image process, products generation, and it can automatically identify the HAB region using the spectral reflectance and inherent optical properties derived from remote sensing data. Currently, the national monitoring department has adopted this system for the operational monitoring of HABs in the East China Sea. From April to September 2013,the system had produced 55 red tide remote sensing monitoring products, and had a good application effect. The system was used to extract the location and area of 27 large red tide events which occurred in the East China Sea in recent years. Compared with the results of the field observation, it has a good effect on the recognition of most red tide range, and the discriminating accuracy of red tide is about 80%.