Back close

Dynamic Landslide Early Warning Framework

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Dr. Maneesha Vinodini Ramesh
Dynamic Landslide Early Warning Framework

Use of heterogeneous data sources to produce dynamic risk maps and risk assessment decision support systems to key state and district state disaster management agencies encompassing multi-hazards that are most prone in the region of interest.

Amrita Team Members

  • Dr. Hemalatha T
  • Dr. Dhanya M
  • Dr. Raji P
  • Ms. Hari Chandana
  • Mr. Balmukund
  • Mr. Nitin
  • Ms. Varsha P
  • Ms. Neeraja
  • Ms. Dhrisya
  • Mr. Unni Narayanan
  • M.s Suriya Harilal
  • Ms. Lakshmi

Name of the Indian Collaborators : KSNDMC, SSDMA, KSDMA, NDMA

Name of the Industry Collaborators : ESRI, India

Product Details

  1. Phase one: basic Dynamic risk platform
  2. Phase two: with customization from client

Proposed Future Work Details : Multi-hazard platform for North Sikkim

Publication Details: 1 Journal on Kodagu case study

Patent Details : Patent for online platform

Related Projects

Painting Bot
Painting Bot
Improving Adherence to Drugs among Persons with Coronary Artery Disease
Improving Adherence to Drugs among Persons with Coronary Artery Disease
Improvement in Transient Stability Margin using STATCOM with Super Capacitor
Improvement in Transient Stability Margin using STATCOM with Super Capacitor
Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Processing and Characterization of Heat Treated Functionally Graded Aluminium (A359) Composites for Aerospace Applications
Processing and Characterization of Heat Treated Functionally Graded Aluminium (A359) Composites for Aerospace Applications
Admissions Apply Now