GIS-based Analysis Tool for Disaster Recovery
This project involves the creation of GIS tools to analysis community preparedness for disasters to identify vulnerabilities for planning purposes. Specifically, the students will use python and other scripting tools to analysis geospatial datasets to identify critical pieces of infrastructure that must be bolstered and strengthened to improve community resilience and recovery after disasters.
Objectives
The deliverable is a suite of ArCGIS toolkits that enable specialized operations upon multiple heterogenous datasets. The datasets are already collected, and the team will focus on user interfaces to enable users to perform basic geospatial operations upon. A particular focus will also be on developing novel user interaction capabilities by providing users the ability to interact with the data using tangible interfaces such as AR markers and augmented reality sandboxes.
Motivations
The frequency of natural disasters has been on the uptick with catastrophic consequences for vulnerable communities. mitigating the impact of these disasters requires comprehensive analysis of a community's assets to identify critical points of failure - such as critical bridges for evacuation, low-lying regions vulnerable to flooding etc. This enables the efficient allocation of resource pre-disaster to improve that community's resilience.
Qualifications
Minimum Qualifications:
Programming
Python
Preferred Qualifications:
Interest in geospatial analysis
Augmented reality
Details
Project Partner:
Joseph Louis
NDA/IPA:No Agreement Required
Number Groups:1
Project Status:Accepting Applicants