Flood Prone and Impact Analysis Using Geographic Information System

Develop an ML-based GIS application using open-source software to analyze past flood imageries, project new images for specific flood levels, aiding spatial assessment for rescue and relief in flood prone areas. This paper introduces an innovative ML-based GIS application developed using open-source GIS software for analyzing historical flood imageries and predicting potential flood extents and depths in flood-prone areas. By integrating historical flood data with satellite imagery and leveraging advanced ML algorithms, the system learns from past events to forecast new flood scenarios for specific flood levels. Key features include interactive visualization tools and the ability to overlay critical infrastructure, population densities, and evacuation routes, aiding in proactive spatial assessment for rescue and relief operations.