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Automatic Tracking and Characterization of Cumulonimbus Clouds from FY-2C Geostationary Meteorological Satellite Images
Liu, Yu1,2; Xi, Du-Gang3; Li, Zhao-Liang4,5; Shi, Chun-Xiang6
2014
Source PublicationADVANCES IN METEOROLOGY
AbstractThis paper presents an automated method to track cumulonimbus (Cb) clouds based on cloud classification and characterizes Cb behavior from FengYun-2C (FY-2C). First, a seeded region growing (SRG) algorithm is used with artificial neural network (ANN) cloud classification as preprocessing to identify consistent homogeneous Cb patches from infrared images. Second, a cross-correlation-based approach is used to track Cb patches within an image sequence. Third, 7 pixel parameters and 19 cloud patch parameters of Cb are derived. To assess the performance of the proposed method, 8 cases exhibiting different life stages and the temporal evolution of a single case are analyzed. The results show that (1) the proposed method is capable of locating and tracking Cb until dissipation and can account for the eventual splitting or merging of clouds; (2) compared to traditional brightness temperature (TB) thresholds-based cloud tracking methods, the proposed method reduces the uncertainty stemming from TB thresholds by classifying clouds with multichannel data in an advanced manner; and (3) the configuration and developmental stages of Cb that the method identifies are close to reality, suggesting that the characterization of Cb can provide detailed insight into the study of the motion and development of thunderstorms.
SubtypeArticle
WOS HeadingsScience & Technology ; Physical Sciences
WOS Subject ExtendedMeteorology & Atmospheric Sciences
WOS KeywordMESOSCALE CONVECTIVE COMPLEXES ; ARTIFICIAL NEURAL-NETWORK ; STORM INITIATION ; METEOSAT IMAGERY ; INFRARED IMAGERY ; DEEP CONVECTION ; LIFE-CYCLE ; PART I ; SYSTEMS ; CLASSIFICATION
Indexed BySCI
Language英语
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000347848300001
PublisherHINDAWI PUBLISHING CORPORATION
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68392
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Zhao-Liang
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
3.PLA Informat Engn Univ, Zhengzhou 450001, Peoples R China
4.Chinese Acad Agr Sci, Minist Agr, Key Lab Agriinformat, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China
5.CNRS, UdS, ICube, F-67412 Illkirch Graffenstaden, France
6.China Meteorol Adm, Natl Meteorol Informat Ctr, Beijing 100081, Peoples R China
Recommended Citation
GB/T 7714
Liu, Yu,Xi, Du-Gang,Li, Zhao-Liang,et al. Automatic Tracking and Characterization of Cumulonimbus Clouds from FY-2C Geostationary Meteorological Satellite Images[J]. ADVANCES IN METEOROLOGY,2014.
APA Liu, Yu,Xi, Du-Gang,Li, Zhao-Liang,&Shi, Chun-Xiang.(2014).Automatic Tracking and Characterization of Cumulonimbus Clouds from FY-2C Geostationary Meteorological Satellite Images.ADVANCES IN METEOROLOGY.
MLA Liu, Yu,et al."Automatic Tracking and Characterization of Cumulonimbus Clouds from FY-2C Geostationary Meteorological Satellite Images".ADVANCES IN METEOROLOGY (2014).
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