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DOI | 10.1002/2017JD026707 |
An assessment of thin cloud detection by applying bidirectional reflectance distribution function model-based background surface reflectance using Geostationary Ocean Color Imager (GOCI): A case study for South Korea | |
Kim, Hye-Won1; Yeom, Jong-Min1; Shin, Daegeun2; Choi, Sungwon3; Han, Kyung-Soo3; Roujean, Jean-Louis4 | |
2017-08-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:15 |
文章类型 | Article |
语种 | 英语 |
国家 | South Korea; France |
英文摘要 | In this study, a new assessment of thin cloud detection with the application of bidirectional reflectance distribution function (BRDF) model-based background surface reflectance was undertaken by interpreting surface spectra characterized using the Geostationary Ocean Color Imager (GOCI) over a land surface area. Unlike cloud detection over the ocean, the detection of cloud over land surfaces is difficult due to the complicated surface scattering characteristics, which vary among land surface types. Furthermore, in the case of thin clouds, in which the surface and cloud radiation are mixed, it is difficult to detect the clouds in both land and atmospheric fields. Therefore, to interpret background surface reflectance, especially underneath cloud, the semiempirical BRDF model was used to simulate surface reflectance by reflecting solar angle-dependent geostationary sensor geometry. For quantitative validation, Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data were used to make a comparison with the proposed cloud masking result. As a result, the new cloud masking scheme resulted in a high probability of detection (POD=0.82) compared with the Moderate Resolution Imaging Spectroradiometer (MODIS) (POD=0.808) for all cloud cases. In particular, the agreement between the CALIPSO cloud product and new GOCI cloud mask was over 94% when detecting thin cloud (e.g., altostratus and cirrus) from January 2014 to June 2015. This result is relatively high in comparison with the result from the MODIS Collection 6 cloud mask product (MYD35). |
英文关键词 | cloud detection GOCI BRDF model thin cloud CALIPSO MODIS |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000408349500028 |
WOS关键词 | CLEAR-SKY ; ATMOSPHERIC CORRECTION ; CIRRUS CLOUDS ; OPTICAL DEPTH ; AVHRR DATA ; MODIS ; RESOLUTION ; ALGORITHM ; RETRIEVAL ; AEROSOLS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32551 |
专题 | 气候变化 |
作者单位 | 1.Korea Aerosp Res Inst, Daejeon, South Korea; 2.Pusan Natl Univ, Dept Atmospher Sci, Busan, South Korea; 3.Pukyong Natl Univ, Dept Spatial Informat Engn, Busan, South Korea; 4.Meteo France, Toulouse, France |
推荐引用方式 GB/T 7714 | Kim, Hye-Won,Yeom, Jong-Min,Shin, Daegeun,et al. An assessment of thin cloud detection by applying bidirectional reflectance distribution function model-based background surface reflectance using Geostationary Ocean Color Imager (GOCI): A case study for South Korea[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(15). |
APA | Kim, Hye-Won,Yeom, Jong-Min,Shin, Daegeun,Choi, Sungwon,Han, Kyung-Soo,&Roujean, Jean-Louis.(2017).An assessment of thin cloud detection by applying bidirectional reflectance distribution function model-based background surface reflectance using Geostationary Ocean Color Imager (GOCI): A case study for South Korea.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(15). |
MLA | Kim, Hye-Won,et al."An assessment of thin cloud detection by applying bidirectional reflectance distribution function model-based background surface reflectance using Geostationary Ocean Color Imager (GOCI): A case study for South Korea".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.15(2017). |
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