Litcius/Paper detail

Prediction of waterlogged zones under heavy rainfall conditions using machine learning and GIS tools: a case study of Mumbai

Sunil Khatri, Pravin Kokane, Vinay Kumar, Shubham Pawar

2022GeoJournal23 citationsDOI

Topics & Concepts

Random forestFlood mythFlooding (psychology)Support vector machineLogistic regressionEnvironmental scienceHydrology (agriculture)Computer scienceGeographyCartographyMachine learningGeologyPsychotherapistArchaeologyPsychologyGeotechnical engineeringFlood Risk Assessment and ManagementHydrological Forecasting Using AIHydrology and Drought Analysis
Prediction of waterlogged zones under heavy rainfall conditions using machine learning and GIS tools: a case study of Mumbai | Litcius