2015-2019年中国近海基于GF-1的大型漂浮藻灾害数据集

利用本项目构建的大型漂浮藻类提取的最优遥感算法（绿度指数算法），评估了国产卫星GF-1数据对大型漂浮藻类的探测效果；进而，基于2015-2019年每年5月至8月的GF-1卫星数据，提取了我国近海大型漂浮藻类分布，构建了大型漂浮藻灾害遥感产品数据集（共62景，120 GB），这提升了对我国近海大型漂浮藻灾害的遥感监测能力，为大型漂浮藻灾害的应急管理提供了科学支撑。

Using the optimal remote sensing algorithm (Greenness Index algorithm) for large floating algae extraction developed in this project, we evaluated the detection performance of domestic GF-1 satellite data for large floating algae. Furthermore, based on GF-1 satellite data collected from May to August each year between 2015 and 2019, we extracted the distribution of large floating algae in China's offshore waters, and constructed a remote sensing product dataset for large floating algae disasters, which contains 62 scenes with a total size of 120 GB. This dataset improves the remote sensing monitoring capability for large floating algae disasters in China's offshore waters, and provides scientific support for the emergency management of such disasters.