PHURIE: hurricane intensity estimation from infrared satellite imagery using machine learning
Author:
Funder
IT and Telecom Endowment Fund
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-018-3874-6.pdf
Reference24 articles.
1. Pielke RA Jr, Gratz J, Landsea CW, Collins D, Saunders MA, Musulin R (2008) Normalized hurricane damage in the United States: 1900–2005. Nat Hazards Rev 9(1):29–42
2. Dvorak VF (1975) Tropical cyclone intensity analysis and forecasting from satellite imagery. Mon Weather Rev 103(5):420–430
3. Velden CS, Olander TL, Zehr RM (1998) Development of an objective scheme to estimate tropical cyclone intensity from digital geostationary satellite infrared imagery. Weather Forecast 13(1):172–186
4. Olander TL, Velden CS (2007) The advanced Dvorak technique: continued development of an objective scheme to estimate tropical cyclone intensity using geostationary infrared satellite imagery. Weather Forecast 22(2):287–298
5. Piñeros MF, Ritchie EA, Tyo JS (2011) Estimating tropical cyclone intensity from infrared image data. Weather Forecast 26(5):690–698
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