干旱区生态环境知识资源中心(Arid): Assessment and improvement of the Cloud Emission and Scattering Index (CESI)

Arid

DOI	10.1080/01431161.2019.1579938
	Assessment and improvement of the Cloud Emission and Scattering Index (CESI) - an algorithm for cirrus detection
	Wang, Liwen 1; Tian, Miao 2; Zheng, Youfei 3
通讯作者	Zheng, Youfei
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2019
卷号	40 期号:14 页码:5366-5387
英文摘要	This study evaluates and improves the cirrus detection of the middle and low peak Weighting Function (WF) Cloud Emission and Scattering Index (CESI) by using the Visible Infrared Imaging Radiometer Suite (VIIRS) cloud mask product. Results show that CESI-3 (peak WF about 890 hPa) accurately detect cirrus with the Probability of detection (POD) value reaching 0.69 during both at day and nighttimes. The CESI-1 (peak WF about 550 hPa) falsely detects cirrus in the Sahara Desert, south of the Saudi Arabia, north of Tibetan Plateau and in Australia during the ascending process. More false alarm rates (FARs) are detected in the northern mid-latitude around 60 degrees N because of the surface type and seasonal effects. Furthermore, the thresholds of middle and low peak WF CESIs for cirrus detection are determined and the performance is satisfactory. In addition, Linear Discriminant Analysis (LDA) is employed to train four combination types (combining CESI-1 and CESI-2, combining CESI-1 and CESI-3, combining CESI-2 and CESI-3, and combining CESI-1, CESI-2, and CESI-3). Accordingly, results elucidate that Comb-1-3 (combining CESI-1 and CESI-3) is appropriate to detect cirrus for the ascending process, increasing the POD by 11.2% as compared to CESI-3. However, Comb-1-2-3 (combining CESI-1, CESI-2 with peak WF around 790 hPa, and CESI-3) is most suitable for cirrus detection in the descending process, increasing the PODs by 8.5%. We also find that the POD of cirrus detection over the land increases relatively higher than over the sea. The most significant improvement of cirrus detection occurs over the land in the summer in the daytime with a 35% POD increase from 0.57 to 0.76.
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000465406100005
WOS关键词	RADIATIVE-TRANSFER MODEL ; WATER-VAPOR ; THIN CIRRUS ; PART I ; MODIS ; CHANNELS ; MASK ; TEMPERATURE ; VALIDATION ; ABSORPTION
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
来源机构	南京信息工程大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216502
作者单位	1.Nanjing Univ Informat Sci & Technol, Key Lab Aerosol Cloud Precipitat China Meteorol A, Nanjing, Jiangsu, Peoples R China; 2.Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Informat Engn Dept, Chengdu, Sichuan, Peoples R China; 3.Nanjing Univ Informat Sci & Technol, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Nanjing, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Wang, Liwen,Tian, Miao,Zheng, Youfei. Assessment and improvement of the Cloud Emission and Scattering Index (CESI) - an algorithm for cirrus detection[J]. 南京信息工程大学,2019,40(14):5366-5387.
APA	Wang, Liwen,Tian, Miao,&Zheng, Youfei.(2019).Assessment and improvement of the Cloud Emission and Scattering Index (CESI) - an algorithm for cirrus detection.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(14),5366-5387.
MLA	Wang, Liwen,et al."Assessment and improvement of the Cloud Emission and Scattering Index (CESI) - an algorithm for cirrus detection".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.14(2019):5366-5387.