Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016JD025659 |
Development of a daytime cloud and haze detection algorithm for Himawari-8 satellite measurements over central and eastern China | |
Shang, Huazhe1; Chen, Liangfu1; Letu, Husi1; Zhao, Meng2; Li, Shenshen1; Bao, Shanhu3 | |
2017-03-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:6 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | Cloud detection by passive satellite sensors is very challenging in hazy weather over China because the reflective characteristics of haze and clouds are very similar. Consequently, hazy areas tend to be mistaken as cloudy or clear areas by current cloud mask algorithms. The Advanced Himawari Imager (AHI) aboard Himawari-8 is a multispectral Earth observation sensor with high temporal and spatial resolutions. A cloud and haze detection algorithm for AHI measurements is urgently needed for monitoring atmospheric pollution and its transport over China. This study presents the new Himawari-8 Cloud and Haze Mask (HCHM) algorithm that classifies image pixels from central and eastern China into one of three categories: clear, cloudy, or hazy. Based on the observations that haze occurs near the ground and accumulates in low-elevation plains and basins while clouds form at high altitudes, the proposed HCHM algorithm incorporates altitude information to adjust the thresholds used in the selected threshold tests to separate haze and cloud pixels. We find that combining auxiliary digital elevation model data with traditional indicators, such as the R-0.86/R-0.64, R-0.86/R-1.6, and BT11-BT3.9, improves the accuracy of cloud and haze discrimination. The HCHM algorithm is applied to Himawari-8 observations from August 2015, November 2015, January 2016, and May 2016 and validated against the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation vertical feature mask results. The validation shows that the average leakage rate, false alarm rate, and haze missing rate of the HCHM algorithm are 3.95%, 5.88%, and 4.17%, respectively. |
英文关键词 | cloud detection haze detection Himawari-8 digital elevation model vertical feature mask |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000399655200021 |
WOS关键词 | AEROSOL OPTICAL-PROPERTIES ; MASK ALGORITHM ; MODIS ; PLAIN ; PRODUCTS ; PERFORMANCE ; RETRIEVAL ; REGIONS ; COVER ; LAND |
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/32561 |
专题 | 气候变化 |
作者单位 | 1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China; 2.Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA; 3.Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot, Peoples R China |
推荐引用方式 GB/T 7714 | Shang, Huazhe,Chen, Liangfu,Letu, Husi,et al. Development of a daytime cloud and haze detection algorithm for Himawari-8 satellite measurements over central and eastern China[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(6). |
APA | Shang, Huazhe,Chen, Liangfu,Letu, Husi,Zhao, Meng,Li, Shenshen,&Bao, Shanhu.(2017).Development of a daytime cloud and haze detection algorithm for Himawari-8 satellite measurements over central and eastern China.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(6). |
MLA | Shang, Huazhe,et al."Development of a daytime cloud and haze detection algorithm for Himawari-8 satellite measurements over central and eastern China".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.6(2017). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论