北京测绘2026，Vol.40Issue(9)：1217-1224,8.DOI:10.19580/j.cnki.1007-3000.2024090064
基于亚像元定位技术的HY-1C卫星数据绿潮识别
Green tide identification from HY-1C satellite data based on sub-pixel mapping technique
摘要
Abstract
Green algae frequently undergo explosive blooms along the coastal regions of Jiangsu and Shandong Provinces,China,forming green tides that pose a significant risk to marine ecosystems,the ocean environment,and the social economy.Remote sensing has emerged as an effective tool for precise identification of the spatiotemporal dynamics of coastal green tides on a large scale.However,constrained by limited spatial resolution,the mixed pixels problem is ubiq-uitous in remote sensing imagery,which undermines the ability of traditional hard classification methods to finely resolve green tide distributions,leading to inaccurate area estimations and seriously hindering subsequent green tide prevention and control efforts.To address this challenge,this study leveraged sub-pixel mapping techniques to identify green tides and calculate corresponding green tide areas using low-spatial-resolution(50 m)imagery from the coastal zone imager(CZI)onboard the Haiyang-1C(HY-1C)satellite.The calculated areas were then compared with those derived from clas-sification results of higher-spatial-resolution(16 m)imagery from the charge-coupled device(CCD)camera onboard the Huanjing-2A(HJ-2A)for the same region.The results demonstrate that sub-pixel mapping techniques can effectively achieve green tide identification from low-spatial-resolution ocean satellite data,offering a novel approach for large-scale,fine-grained green tide identification and area estimation via remote sensing.关键词
绿潮/混合像元/亚像元定位/海洋1号C卫星(HY-1C)Key words
green algae/mixed pixel/sub-pixel mapping/Haiyang-1C(HY-1C)satellite分类
天文与地球科学引用本文复制引用
陈功,钟俊飞,徐莹,吴柯..基于亚像元定位技术的HY-1C卫星数据绿潮识别[J].北京测绘,2026,40(9):1217-1224,8.基金项目
中央高校基本科研业务费专项资金(2642022009) （2642022009）
"全球变化与海气相互作用(二期)"(GASI-01-DLYG-WIND01) （二期）
自然资源部空间海洋遥感与应用重点实验室开放基金(202401001). （202401001）
