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Author Tom De Groeve; Patrick Riva pdf  isbn
openurl 
  Title Early flood detection and mapping for humanitarian response Type Conference Article
  Year 2009 Publication ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives Abbreviated Journal ISCRAM 2009  
  Volume Issue Pages  
  Keywords Image processing; Information systems; Mapping; Time series; Early warning; Flood detections; Flood mapping; Humanitarian response; Passive microwave remote sensing; Floods  
  Abstract Space-based river monitoring can provide a systematic, timely and impartial way to detect floods of humanitarian concern. This paper presents a new processing method for such data, resulting in daily flood magnitude time series for any arbitrary observation point on Earth, with lag times as short as 4h. Compared with previous work, this method uses image processing techniques and reduces the time to obtain a 6 year time series for an observation site from months to minutes, with more accurate results and global coverage. This results in a daily update of major floods in the world, with an objective measure for their magnitude, useful for early humanitarian response. Because of its full coverage, the grid-based technique also allows the automatic creation of low-resolution flood maps only hours after the satellite passes, independent of cloud coverage.  
  Address Joint Research Center, European Commission, Italy  
  Corporate Author (up) Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Gothenburg Editor J. Landgren, S. Jul  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789163347153 Medium  
  Track Human-Computer Interaction Expedition Conference 6th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 428  
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