{"id":"W1887042299","doi":"10.5194/hess-19-4345-2015","title":"DAHITI – an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry","year":2015,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":508,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; National Oceanic and Atmospheric Administration; Technische Universität München; Centre National d’Etudes Spatiales; Government of Canada; Deutsche Forschungsgemeinschaft; Indian Space Research Organisation; Agência Nacional de Águas; National Aeronautics and Space Administration","keywords":"Altimeter; Satellite; Water level; Series (stratigraphy); Remote sensing; Wetland; Satellite altimetry; Environmental science; Time series; Tide gauge; Radar altimeter; Geology; Sea level; Geography; Computer science; Oceanography; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07423220847133542,"score_gpt":0.2972737161690955,"score_spread":0.2230415076977601,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}