Programs
- M. Tech. in Automotive Engineering -Postgraduate
- Building Disaster Resilience and Social Responsibility through Experiential Learning: Integrating AI, GIS, and Remote Sensing -Certificate
The study assesses the post-flood impact on geomorphology and vegetation in the Periyar River basin. It aims to develop a flood prediction model using MIKE-FLOOD and ML, followed by analyzing post-flood geomorphological dynamics and vegetation patterns. The ultimate goal is to derive a flood preparedness and mitigation model to minimize the impact of future flood events. 2018 and 2019 Periyar flood were estimated using SAR data and flood depth estimation using GEE and Mike+ model. Dam discharge data from Neeleswaram , Vandiperiyar and Boothathankettu has been collected. 2D Flood modelling is in progress based on high resolution GPM rainfall and dam discharge making these to 3 points as separate watersheds into the model. In Periyar river significant morphometric changes were not observed, therefore additional study area of Kosi river has been added for further exploration.
Amrita Team Members: Shebin S M
Name of the International Collaborators: Prof. Guido, Univ of Trento Italy
