Novel Metrics and Methods for Assessing Post-Disaster Impact

Modern information technologies provide unprecedented data access to support situational awareness following a disaster. However, these have so far fallen short due to several technical limitations and research gaps: (a) they are highly uncertain, (b) they focus entirely on the measurement of loss to physical assets, an insufficient indicator of disaster-induced vulnerability and need, and (c) reliance on data-specific information flows has made it impossible to scale across geographic context and time. This proposal builds off of past work to explore these challenges and develop new metrics of post-disaster impact and integrated modeling and remote-sensing methods to measure them.

Funding Sources: 

  • Earth Observatory of Singapore
  • Global Partnership for Sustainable Development Data
  • World Bank

Project Years: 

2018
2019
2020

EOS Team: 

Principal Investigator
Collaborator

Collaborators: 

Jamie McCaughey, ETH Zurich

Nama Budhathoki, Kathmandu Living Labs

Sabine Loos, Stanford University

Mhairi O’Hara, Humanitarian OpenStreetMap Team

Robert Soden, Global Facility for Disaster Risk Reduction (GFDRR), World Bank

Sang-Ho Yun, NASA-JPL ARIA Program

Ritika Singh, Kathmandu Living Labs, Collaborator

View Also: