A data mining approach for heavy rainfall forecasting based on satellite image sequence analysis

Computers and Geosciences

Volumn 33, Issue 1, 2007, Pages 20-30

  Yang, Yubin ^a,b   Lin, Hui ^b   Guo, Zhongyang ^b   Jiang, Jixi ^c  

^a NANJING UNIVERSITY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^c NATIONAL SATELLITE METEOROLOGICAL CENTER   (China)

Author keywords

Image sequence analysis; Meteorology; Remote sensing; Spatial data mining; Weather forecast

Indexed keywords

DATA MINING; IMAGE PROCESSING; RAIN; REMOTE SENSING; TRACKING (POSITION); WEATHER FORECASTING; WEATHER SATELLITES;

IMAGE SEQUENCE ANALYSIS; MESOSCALE CONVECTIVE SYSTEMS (MCSS); SPATIAL DATA MINING;

METEOROLOGY;

DATA MINING; IMAGE PROCESSING; METEOROLOGY; RAIN; REMOTE SENSING; TRACKING (POSITION); WEATHER FORECASTING; WEATHER SATELLITES;

DATA MINING; IMAGE ANALYSIS; PRECIPITATION INTENSITY; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL DATA; WEATHER FORECASTING;

ASIA; CHINA; EURASIA; FAR EAST; QINGHAI-XIZANG PLATEAU;

EID: 33750532572     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2006.05.010     Document Type: Article

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