Satellite Remote Sensing Data for Coastal Development and Evaluation of Marine Environments

本项目的目的是开发一个利用遥感技术预测日本沿海地区叶绿素浓度的系统。首先，将美国国家航空航天局（NASA）的CZCS数据与海真值的叶绿素浓度进行了比较，两者的一致性较差。其次，利用最近的7种叶绿素模型，利用LANDSAT数据推导叶绿素浓度。从与海上真实数据的比较。Morel的模型除叶绿素浓度高外，其他参数的一致性最好。最后，通过对大阪地区的多元回归分析，建立了沿海叶绿素模型。大阪湾的叶绿素浓度分布表现为在停滞水域高浓度。卫星也显示顺时针方向的水流将高叶绿素浓度从停滞区冲到海湾口。为了更简明地求得叶绿素的浓度、气溶胶组分及其直径、水汽的分层、臭氧的分布及其光学厚度，需要进行大气校正。混浊水的光学厚度也是必需的。

The objective of this project is to develop a system to predict a concentration of chlorophyll in Japanese coastal zone using remote sensing. Firstly, the chlorophyll concentration derived from CZCS data of NASA is compared with the sea-truth one and it shows poor agreement. Secondly, recent seven chlorophyll models are applied to derive chlorophyll concentration using LANDSAT data. From the comparison with the sea-truth data. Morel' s model shows best agreement except for high chlorophyll concentrated area. Finally, coastal chlorophyll model is derived from multiple regression analysis of Osaka area. Distribution of chlorophyll concentration of Osaka bay shows high concentration in a stagnation water area. Satellite also shows that clockwise-stream flushes the high chlorophyll concentration from stagnation area to the mouth of the bay. In order to develop more concisely concentration of chlorophyll, aerosol components and its diameter, stratification of water vapor, distribution of ozone and its optical thickness are required for the atmospheric correction. The optical thickness of turbid water is also required.