Digital Vulnerability Atlas of South Asia

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Digital Vulnerability Atlas of South Asia

• Pushpendra Johari
• RMSI

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Objectives

• To integrate the available information on hazards
  and vulnerabilities of the countries of South
  Asia region
• To create a framework to facilitate easy and
  reliable assessment and analysis of risks of
  disasters in South Asia
• Imbed capabilities in the platform so that it
  could be kept up-to-date
• Digital Vulnerability Atlas an integral part of
  the South Asia Disaster Knowledge Network

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Technology used

• ASP.net (.Net Framework 3.5)
• Open Source GIS Libraries (Open Layers, ExtJs,
  Map Fish, Geo Server, Geo Web Cache)
• PostgreSQL - Powerful, open source
  object-relational database system.
• Apache Tomcat - Open source software
  implementation of the Java Servlet and
  Java-Server-Pages technologies
• Internet Information Services (IIS)

• Advantages of Open Source Platform
• - Full Control on source code
• - Low ownership Cost no license fee
• - Quality and Excellence due to
• availability in public domain

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Technology
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Main Functionalities

• DVA is an interactive web-based GIS mapping
  service with following functionalities
• Query by Location
• Very useful tool to perform real time analysis,
  e.g. identifying districts that are located
  within 100 km of epicenter
• Query by Attribute
• Allows user to select features based on the
  attributes attached to it, e.g. user needs to
  identify the Humla district of Nepal
• Map Creation
• Enables user to create and export map using
  maximum of 3 layers.
• Search and HazardProfile Report
• Enables user to search and map any location and
  generate a comprehensive risk profile report

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Advantages

• Central resource of up-to-date information on
  Hazards and associated vulnerabilities for SAARC
  countries
• Provides comprehensive Hazard Profile Reports for
  highest available administrative resolution
  (district and sub district)
• Includes hazard Information for 7 major hazards
  Earthquake, flood, landslide, heat wave, cold
  wave, cyclone, and tsunami
• Presents vulnerability information for four major
  classes Physical, Social, Human, and Economic
• Supports Google Maps for better visualization
• Based on open source GIS platform

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DEMO