基于FY-3D MERSI-Ⅱ的北极冰雪环境下云检测方法研究  

Research on Cloud Detection Method under Arctic Ice Environment Based on FY-3D MERSI-Ⅱ

作　　者：陈颖 邱倩 屈猛 赵羲[1] CHEN Ying

机构地区：[1]武汉大学中国南极测绘研究中心,湖北武汉430079 [2]武汉大学资源与环境科学学院,湖北武汉430079

出　　处：《地理空间信息》2020年第10期10-14,I0005,共6页Geospatial Information

基　　金：国家自然科学基金面上项目(41876223);国家重点研发计划专项项目(2018YFC1407100)。

摘　　要：探讨了针对风云三号D星(FY-3D)中等分辨率光谱成像仪(MERSI-Ⅱ)数据的云检测方法,通过分析冰雪、水、云的光谱特性,选取了4种光谱测试法,提出多光谱阈值法的云检测合成方案,并与中分辨率成像光谱辐射计(MODIS)的云掩膜产品MOD35进行对比分析。结果表明MERSI-Ⅱ总体云检测的云检出率为73.14%,总体精度为89.91%。提出的MERSI-Ⅱ云检测方法能较为完整地检测出云区,孤立云像元较少,但对部分薄云的敏感性低。In this paper, based on the analysis of spectral characteristic of ice, snow, water and cloud, we developed a multi-spectral threshold method for the medium resolution spectral imager Ⅱ(MERSI-Ⅱ) on board FY-3 D satellite to detect cloud, which includes four spectral cloud tests. Then, we compared the results with the MODIS cloud mask products(MOD35). The results show that in general, 73.14 % of the cloud pixels in the MOD35 product are detected using MERSⅡI imagery, with an overall accuracy of 89.91 %. The proposed MERSI-Ⅱ cloud detection method can identify most of the cloud pixels efficiently, with fewer scattered pixels mostly presumed false detection, whereas it is less sensitive to a part of thin cloud.

关 键 词：云检测 MERSI-Ⅱ 极区 多光谱阈值 MOD35 

分 类 号：P237[天文地球—摄影测量与遥感]