The independent service validation in GMES RESPOND: the flood validation exercise

References

• Allenbach , B. 2005 . Rapid EO disaster mapping service: added value, feedback and perspectives after 4 years of charter actions . The proceeding of IGARSS – International Geoscience and Remote Sensing Symposium , 6 ( 25–29 ) : 4373 – 4378 .
   Google Scholar
• Alsdorf , D.E. , Smith , L.C. and Melack , J.M. 2001 . Amazon floodplain water level changes measured with interferometric SIR-C radar . IEEE Transactions on Geoscience and Remote Sensing , 39 ( 2 ) : 423 – 431 .
   Web of Science ®Google Scholar
• Bally , P. and Boubila , F. , 2009 . The independent service validation methodology in RESPOND & transfer to GMES ERCS . In: The proceeding of ValGeo – International workshop on validation and of geo-information products for crisis management , 23–25 November 2009, Ispra, Italy . Joint Research Center European Commission Ispra .
   Google Scholar
• Cohen , J. 2001 . A coefficient of agreement for nominal scales . Educational and Psychological Measurement , 20 ( 1 ) : 37 – 46 .
   Google Scholar
• Guptill , S.C. and Morrison , J.L. 1995 . Elements of spatial data quality , Oxford : Elsevier .
   Google Scholar
• Imhoff , M.L. 1987 . Monsoon flood boundary delineation and damage assessment using spaceborne imaging radar and Landsat data . Photogrammetric Engineering and Remote Sensing , 53 ( 4 ) : 405 – 413 .
   Web of Science ®Google Scholar
• Kohavi , R. and Provost , F. , 1998 . Glossary of terms-editorial for the special issue on applications of machine learning and the knowledge discovery process . Applications of Machine Learning and the Knowledge Discovery Process , 2 3 , 21 – 30
   Google Scholar
• Pietroniro , A. and Martz , L.W. , 2001 . Summer flood mapping in northern wetland using a combination of RADARSAT and SPOT imagery Remote sensing and hydrology , 267 , 536 – 551 .
   Google Scholar
• RESPOND , 2010 . Available from: http://www.respond-int.org [Accessed 30 June 2006].
   Google Scholar
• Rust Environment and Infrastructure, Inc , 1999 . Red river basin virtual database data assessment report . Vol. 2. Report for International Joint Commission Red River Basin Task Force and U.S. Army Corps of Engineers St. Paul District, USA DACW37-97-D-0002 Delivery 0007.
   Google Scholar
• Schumann , G. 2007 . High-resolution 3D flood information from radar imagery for flood hazard management . IEEE Transactions on Geoscience and Remote Sensing , 45 ( 6 ) : 1715 – 1725 .
   Web of Science ®Google Scholar
• Silander , J. , et al. , 2006 . Flood maps and satellite, case study Kittilä . In: Proceedings to the XXIV Nordic hydrology conference “Nordic Water” , 6–9 August, Vingsted, Denmark Danish Water Forum Hørsholm, , Denmark
   Google Scholar
• Suwanwerakamtorn , R. and Salakkham , E. , 2006 . Extracting flood extent from RADARSAT SAR data using neural network Available from: http://www.aars-acrs.org/acrs/proceeding/ACRS2008/Papers/TS%2022.6.pdf [Accessed 12 July 2006].
   Google Scholar
• Townsend , P.A. 2001 . Mapping seasonal flooding in forested wetlands using multi-temporal Radarsat SAR . Photogrammetric Engineering and Remote Sensing , 67 : 857 – 864 .
   Web of Science ®Google Scholar
• Townsend , P.A. and Walsh , S.J. 1998 . Modeling floodplain inundation using an integrated GIS with radar and optical remote sensing . Geomorphology , 21 ( 3–4 ) : 295 – 312 .
   Web of Science ®Google Scholar
• van Oosterom , P. , Zlatanova S. Fendel , E. 2005 . Geo-information for disaster management , Directions Magazine 1 – 5 .
   Google Scholar
• Wood , M.D. 2002 . Integration of remote and in situ data: prototype flood information management system . Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) , 3 ( 24–28 ) : 1694 – 1696 .
   Google Scholar