南黄海绿潮分布矢量数据集（2017-2026.5.15）

主要使用哨兵2号2017-2025年4-8月份所有云层覆盖度低于50%的图像，基于GEE平台，对研究区（119.14-124.26°E，31.67-39.83°N）内五天哨兵2号数据进行镶嵌拼接，去云、去水体、去陆地岛屿（NDWI）等后，提取NDVI值作为大型藻华空间分布，并结合SRG-1指数对金潮马尾藻进行去除，数据格式为Shapefile矢量格式；同时提供对应时段的哨兵2号遥感影像（空间分辨率：300米，提供B2：蓝、B3：绿、B4：红、B6：近红外四个波段）作为参考。

This dataset was developed using Sentinel-2 images acquired between April and August from 2017 to 2025, with cloud cover of less than 50%. Leveraging the Google Earth Engine (GEE) platform, five-day Sentinel-2 datasets within the study area (119.14–124.26°E, 31.67–39.83°N) were first mosaicked, followed by cloud removal and removal of terrestrial islands. Subsequently, the Normalized Difference Vegetation Index (NDVI) was extracted to characterize the spatial distribution of large-scale algal blooms, and the SRG-1 index was integrated to exclude Sargassum related to golden tides. The processed distribution data are stored in Shapefile vector format. Additionally, concurrent-period Sentinel-2 remote sensing images with a spatial resolution of 300 m (including four bands: B2 (blue), B3 (green), B4 (red), and B6 (near-infrared)) are provided as reference materials.

搜集汇总

背景与挑战

背景概述

该数据集提供了2017年至2025年南黄海绿潮的分布矢量数据，基于哨兵2号遥感影像提取，数据格式为Shapefile，适用于海洋生态和遥感研究。数据由中国科学院海洋研究所生产，完全共享。