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by Le Coz, J., Patalano, A., Collins, D., Guillen, N. F., Garcia, C. M., Smart, G. M., Bind, J., Chiaverini, A., Le Boursicaud, R., Dramais, G. and Braud, I.
Abstract:
New communication and digital image technologies have enabled the public to produce large quantities of flood observations and share them through social media. In addition to flood incident reports, valuable hydraulic data such as the extent and depths of inundated areas and flow rate estimates can be computed using messages, photos and videos produced by citizens. Such crowdsourced data help improve the understanding and modelling of flood hazard. Since little feedback on similar initiatives is available, we introduce three recent citizen science projects which have been launched independently by research organisations to quantitatively document flood flows in catchments and urban areas of Argentina, France, and New Zealand. Key drivers for success appear to be: a clear and simple procedure, suitable tools for data collecting and processing, an efficient communication plan, the support of local stakeholders, and the public awareness of natural hazards.
Reference:
Le Coz, J., Patalano, A., Collins, D., Guillen, N. F., Garcia, C. M., Smart, G. M., Bind, J., Chiaverini, A., Le Boursicaud, R., Dramais, G. and Braud, I., 2016: Crowdsourced data for flood hydrology: Feedback from recent citizen science projects in Argentina, France and New ZealandJournal of Hydrology, 541, 766-777.
Bibtex Entry:
@Article{LeCoz2016,
  Title                    = {Crowdsourced data for flood hydrology: Feedback from recent citizen science projects in Argentina, France and New Zealand},
  Author                   = {Le Coz, J. and Patalano, A. and Collins, D. and Guillen, N. F. and Garcia, C. M. and Smart, G. M. and Bind, J. and Chiaverini, A. and Le Boursicaud, R. and Dramais, G. and Braud, I.},
  Journal                  = {Journal of Hydrology},
  Year                     = {2016},
  Pages                    = {766-777},
  Volume                   = {541},

  Abstract                 = {New communication and digital image technologies have enabled the public to produce large quantities of flood observations and share them through social media. In addition to flood incident reports, valuable hydraulic data such as the extent and depths of inundated areas and flow rate estimates can be computed using messages, photos and videos produced by citizens. Such crowdsourced data help improve the understanding and modelling of flood hazard. Since little feedback on similar initiatives is available, we introduce three recent citizen science projects which have been launched independently by research organisations to quantitatively document flood flows in catchments and urban areas of Argentina, France, and New Zealand. Key drivers for success appear to be: a clear and simple procedure, suitable tools for data collecting and processing, an efficient communication plan, the support of local stakeholders, and the public awareness of natural hazards.},
  Copublication            = {11: 4 Fr, 3 Arg, 4 NZ},
  Doi                      = {10.1016/j.jhydrol.2016.07.036},
  ISSN                     = {0022-1694},
  Owner                    = {hymexw},
  Timestamp                = {2018.06.18},
  Type                     = {Journal Article},
  Url                      = {http://dx.doi.org/10.1016/j.jhydrol.2016.07.036}
}