An Algorithm for Daytime Sea Fog Detection over the Greenland Sea Based on MODIS and CALIOP Data | |
Xiao, Yan-Fang1; Zhang, Jie1; Qin, Ping2 | |
刊名 | JOURNAL OF COASTAL RESEARCH |
2019-06 | |
页码 | 95-103 |
关键词 | Sea fog low stratus MODIS CALIOP Arctic |
ISSN号 | 0749-0208 |
DOI | 10.2112/SI90-012.1 |
英文摘要 | Sea fog is one of the dangerous weather disasters affecting scientific investigation and maritime transportation on the Arctic Ocean. In this paper, a detection algorithm for daytime sea fog over the Arctic Ocean is proposed taking the Greenland Sea as an example. With the assistance of satellite lidar data from CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations)/CALIOP (Cloud Aerosol Lidar with Orthogonal Polarization), a large number of sample points of sea fog, low level clouds, mid-high level clouds, the sea surface, ice, and snow were extracted from MODIS (Moderate Resolution Imaging Spectroradiometer) images. The radiance (reflectance and emissivity) and texture (mean, variance, homogeneity, contrast, dissimilarity, entropy, second moment, and correlation) characteristics of each MODIS channel for sea fog and other features were analyzed. Thereafter, a new algorithm for sea fog detection is proposed. The step-by-step algorithm first masks the sea surface, sea ice, and snow using the reflectance of MODIS channels 2 and 7. Then, the sea fog is separated from low and medium-high level clouds using the homogeneity of channel 18. The validation compared with CALIOP data shows encouraging accuracy for sea fog detection with probabilities of detection (POD) similar to 80 %, and probabilities of falsity (POF) similar to 8.5 %. |
资助项目 | National Key R&D Program of China[2018YFC1407200] |
WOS研究方向 | Environmental Sciences & Ecology ; Physical Geography ; Geology |
语种 | 英语 |
出版者 | COASTAL EDUCATION & RESEARCH FOUNDATION |
WOS记录号 | WOS:000485714500013 |
内容类型 | 期刊论文 |
源URL | [http://ir.fio.com.cn:8080/handle/2SI8HI0U/30296] |
专题 | 业务部门_海洋物理与遥感研究室 |
通讯作者 | Xiao, Yan-Fang |
作者单位 | 1.Minist Nat Resources, Inst Oceanog 1, Qingdao, Shandong, Peoples R China 2.Ocean Univ China, Coll Informat Sci & Engn, Qingdao, Shandong, Peoples R China |
推荐引用方式 GB/T 7714 | Xiao, Yan-Fang,Zhang, Jie,Qin, Ping. An Algorithm for Daytime Sea Fog Detection over the Greenland Sea Based on MODIS and CALIOP Data[J]. JOURNAL OF COASTAL RESEARCH,2019:95-103. |
APA | Xiao, Yan-Fang,Zhang, Jie,&Qin, Ping.(2019).An Algorithm for Daytime Sea Fog Detection over the Greenland Sea Based on MODIS and CALIOP Data.JOURNAL OF COASTAL RESEARCH,95-103. |
MLA | Xiao, Yan-Fang,et al."An Algorithm for Daytime Sea Fog Detection over the Greenland Sea Based on MODIS and CALIOP Data".JOURNAL OF COASTAL RESEARCH (2019):95-103. |
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