@article{fdi:010088785,
  title = {{D}etection of large-scale floods using {G}oogle {E}arth {E}ngine and {G}oogle {C}olab},
  author = {{J}ohary, {R}. and {R}{\'e}villion, {C}. and {C}atry, {T}hibault and {A}lexandre, {C}yprien and {M}ouquet, {P}ascal and {R}akotoniaina, {S}. and {P}ennober, {G}wenaelle and {R}akotondraompiana, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his paper presents an operational approach for detecting floods and establishing flood extent using {S}entinel-1 radar imagery with {G}oogle {E}arth {E}ngine. {T}he methodology relies on change detection, comparing pre-event and post-event images. {T}he change-detection method is based on the normalised difference ratio. {A}dditionally, the {HAND} model is employed to delineate zones for processing only in flood-prone areas. {T}he approach was tested and calibrated at a small scale to optimise parameters. {I}n these calibration tests, an accuracy of 85% is achieved. {T}he approach was then applied to the whole of the island of {M}adagascar after {C}yclone {B}atsirai in 2022. {T}he proposed method is enabled by the computing power and data availability of {G}oogle {E}arth {E}ngine and {G}oogle {C}olab. {T}he results show satisfactory accuracy in delineating flooded areas. {T}he advantages of this approach are its rapidity, online availability and ability to detect floods over a wide area. {T}he approach relying on {G}oogle {T}ools thus offers an effective solution for generating a large-scale synoptic picture to inform hazard management decision making. {H}owever, one of the method's drawbacks is that it depends to a large extent on frequent radar imagery being available at the time of flood events and on free access to the platform. {T}hese drawbacks will need to be taken into account in an operational scenario.},
  keywords = {flood ; radar imagery ; {S}entinel-1 ; {G}oogle {E}arth {E}ngine ; {P}ython ; {MADAGASCAR}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {15},
  numero = {22},
  pages = {5368 [19 ]},
  year = {2023},
  DOI = {10.3390/rs15225368},
  URL = {https://www.documentation.ird.fr/hor/fdi:010088785},
}