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Retrieval of water components of coastal waters in Pearl River estuary using ocean color remote sensing data

机译:利用海洋彩色遥感数据反演珠江口沿海水域水分量

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Application of ocean color remote sensing data for retrieval of water components, such as chlorophyll-a, and particle organic carbon in oceanic waters is successful. As the optical properties of coastal waters are complicated and localized, and there is problem in the atmospheric correction of ocean color remote sensing data in coastal waters, the present algorithms for retrieval of water components are not reliable in coastal waters. The Pearl River system is mainly situated in the Guangdong Province in southern China, with a length of 2214 km and a total catchment area of 453,690 km~2 . The Pearl River estuary is the largest estuary in the South China Sea (SCS), with a mean annual discharge of 326 billion m~3, of which there are about 30 million tons of dissolved matters annually discharged into the estuary. The high concentration of suspended sediments and dissolved matters make the optical properties of the coastal waters very complicated. It makes a big challenge on application of ocean color remote sensing data for determination of water components in this coastal waters. In order to develop practical algorithms for retrieval of water components in local coastal waters, in-situ water component data and above-water spectral reflectance data were collected in 2003 and 2004 respectively, the algorithms for determining concentration of chlorophyll-a and yellow substance were developed based on the in-situ data and then the algorithms were applied to atmospheric corrected SeaWiFS data, which were corrected by a improved method, and to the Chinese ocean satellite (HY-01) COCTS data for retrieval of chlorophyll-a and yellow substance in the coastal waters of the Pearl River estuary and its adjacent water areas. The results showed the algorithms are feasible, and the retrieved water components data are of great use for investigation and management of environment in coastal waters.
机译:应用海洋颜色遥感数据检索海洋水中的水成分(例如叶绿素-a和有机碳颗粒)是成功的。由于沿海水域的光学特性复杂且局部化,并且在沿海水域的海洋颜色遥感数据的大气校正中存在问题,因此用于检索水分量的当前算法在沿海水域中是不可靠的。珠江水系主要分布在中国南部的广东省,全长2214公里,总集水面积453,690公里〜2。珠江河口是南海最大的河口,年平均排放量为3260亿立方米〜3,其中,每年向河口排放的溶解物约3000万吨。高浓度的悬浮沉积物和溶解物质使沿海水域的光学特性非常复杂。在利用海洋颜色遥感数据确定该沿海水域的水分量方面,这是一个巨大的挑战。为了开发实用的局部沿海水体取水算法,分别于2003年和2004年收集了现场水体数据和水上光谱反射率数据,确定叶绿素a和黄色物质浓度的算法为:根据原位数据进行开发,然后将该算法应用于通过改进方法进行校正的大气校正SeaWiFS数据,以及应用于中国海洋卫星(HY-01)COCTS数据以检索叶绿素a和黄色物质在珠江口及其邻近水域的沿海水域中。结果表明,该算法是可行的,所提取的水成分数据对于沿海水域环境的调查和管理具有重要的意义。

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