A Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) supported by a prior surface reflectance database
文献类型：期刊论文
| 作者 | Sun, Lin1; Wei, Jing1; Wang, Jian1; Mi, Xueting1; Guo, Yamin1; Lv, Yang1; Yang, Yikun1; Gan, Ping1; Zhou, Xueying1; Jia, Chen1 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
 |
| 出版日期 | 2016 |
| 卷号 | 121期号:12页码:7172-7196 |
| 关键词 | SOLAR BACKSCATTER ULTRAVIOLET TROPOSPHERIC OZONE SATELLITE EMISSIVITY OBJECTIVES INVERSION TOMS |
| 通讯作者 | Wei, J (reprint author), Shandong Univ Sci & Technol, Geomat Coll, Qingdao, Peoples R China. |
| 英文摘要 | Conventional cloud detection methods are easily affected by mixed pixels, complex surface structures, and atmospheric factors, resulting in poor cloud detection results. To minimize these problems, a new Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) supported by a priori surface reflectance database is proposed in this paper. A monthly surface reflectance database is constructed using long-time-sequenced MODerate resolution Imaging Spectroradiometer surface reflectance product (MOD09A1) to provide the surface reflectance of the underlying surfaces. The relationships between the apparent reflectance changes and the surface reflectance are simulated under different observation and atmospheric conditions with the 6S ( Second Simulation of the Satellite Signal in the Solar Spectrum) model, and the dynamic threshold cloud detection models are developed. Two typical remote sensing data with important application significance and different sensor parameters, MODIS and Landsat 8, are selected for cloud detection experiments. The results were validated against the visual interpretation of clouds and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation cloud measurements. The results showed that the UDTCDA can obtain a high precision in cloud detection, correctly identifying cloudy pixels and clear-sky pixels at rates greater than 80% with error rate and missing rate of less than 20%. The UDTCDA cloud product overall shows less estimation uncertainty than the current MODIS cloud mask products. Moreover, the UDTCDA can effectively reduce the effects of atmospheric factors and mixed pixels and can be applied to different satellite sensors to realize long-term, large-scale cloud detection operations. |
| 学科主题 | Meteorology & Atmospheric Sciences |
| 类目[WOS] | Meteorology & Atmospheric Sciences |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000381631800029 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39489]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.Shandong Univ Sci & Technol, Geomat Coll, Qingdao, Peoples R China 2.Beijing Normal Univ, Sch Geog, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Environm Protect Key Lab Satellite Remote S, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Lin,Wei, Jing,Wang, Jian,et al. A Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) supported by a prior surface reflectance database[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2016,121(12):7172-7196. |
| APA | Sun, Lin.,Wei, Jing.,Wang, Jian.,Mi, Xueting.,Guo, Yamin.,...&Tian, Xinpeng.(2016).A Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) supported by a prior surface reflectance database.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,121(12),7172-7196. |
| MLA | Sun, Lin,et al."A Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) supported by a prior surface reflectance database".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 121.12(2016):7172-7196. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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