2019年巢湖10m透明度遥感反演数据集

本数据为巢湖透明度浓度遥感反演数据集。本数据集首先基于Sentinel2-MSI卫星遥感影像与巢湖矢量数据提取巢湖水体，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算法估算巢湖水体Kd490，并利用经验算法转换为水体透明度。This dataset is a remote sensing inversion dataset for water transparency and concentration of Chaohu Lake. Firstly, the water body of Chaohu Lake is extracted based on Sentinel2-MSI satellite remote sensing images and Chaohu Lake vector data, followed by preprocessing such as cloud removal and geometric correction. Finally, the Kd490 of Chaohu Lake water body is estimated using the C2RCC algorithm integrated in the Sentinel Application Platform (SNAP 6.0) software, and converted to water transparency via an empirical algorithm.

搜集汇总

背景与挑战

背景概述

该数据集为2019年巢湖水体透明度的遥感反演数据，基于Sentinel2-MSI卫星影像，通过C2RCC算法估算Kd490并转换为透明度值，空间分辨率为10米。数据集包含12个GeoTiff格式的栅格文件，总容量为276.48 MB，由中国科学院南京地理与湖泊研究所发布，适用于巢湖水环境研究。