2019年洪泽湖10m透明度遥感反演数据集

本数据为洪泽湖透明度浓度遥感反演数据集。本数据集首先基于Sentinel2-MSI卫星遥感影像与洪泽湖矢量数据提取洪泽湖水体，然后进行数据的去云、几何校正等预处理，最后利用Sentinel Application Platform（SNAP 6.0）软件集成的C2RCC算法估算洪泽湖水体Kd490，并利用经验算法转换为水体透明度。

This is a remote sensing inversion dataset for water transparency and concentration of Hongze Lake. Firstly, the water body of Hongze Lake is extracted from Sentinel-2 MSI satellite remote sensing images and the vector data of Hongze Lake. Then, preprocessing steps such as cloud removal and geometric correction are carried out on the acquired data. Finally, the C2RCC algorithm integrated in Sentinel Application Platform (SNAP 6.0) software is used to estimate the Kd490 of Hongze Lake water body, and the estimated value is converted into water transparency via an empirical algorithm.