@article{fdi:010047210, title = {{R}emote sensing of water levels on floodplains : a spatial approach guided by hydraulic functioning}, author = {{R}aclot, {D}amien}, editor = {}, language = {{ENG}}, abstract = {{A}s in-field data acquired during a flood are often limited to point information and are spatially sparse, available 2- or 3-dimensional mathematical hydraulic models dramatically suffer from a lack of suitable calibration and validation datasets. {R}emote sensing appears to be a very powerful alternative acquisition mode that could address some of these difficulties. {A}fter a brief review of literature on water level extraction using remote sensing, a methodology is proposed that aims to extract water levels from aerial photographs taken during flooding. {I}t consists of estimating the water levels in hydraulic compartments over the whole inundated plain at the moment the photographs were taken. {T}he idea developed is that the processing of remote sensing images taken during flooding can go beyond a simple and descriptive extraction of the inundated area if it incorporates ancillary data and if it is guided by hydraulic functioning. {T}he methodology is presented in three steps: (1) the extraction of local water-level estimates; (2) the extraction of a spatial structure composed of compartments and hydraulic circulations; (3) the combination of these data to improve water- level estimates. {T}he methodology, illustrated here on a {H}erault site but also tested on a portion of the {M}oselle and {A}isne {R}ivers, has shown its efficacy in providing quantitative and distributed data on water levels. {T}hese have proven sufficiently precise (mean +/- 15 cm on the three tests carried out) to be used and assimilated in numerical hydraulic modelling.}, keywords = {}, booktitle = {}, journal = {{I}nternational {J}ournal of {R}emote {S}ensing}, volume = {27}, numero = {12}, pages = {2553--2574}, ISSN = {0143-1161}, year = {2006}, DOI = {10.1080/01431160600554397}, URL = {https://www.documentation.ird.fr/hor/fdi:010047210}, }