Damage estimationGeospatial dataGeostatistics
August 1, 2018 → September 1, 2019
G-DIF: A geospatial data integration framework to rapidly estimate post-earthquake damage
Post-Disaster Informatics: a technological approach to recovery planning
Geospatial data integration framework to estimate post-earthquake regional damages
Global Rapid Damage Mapping Systems with Spaceborne SAR Data
[link] Rapid integration of post-disaster data: a basis to estimate impact for recovery planning
[link] Spatial integration of post-earthquake building damage data to support response and recovery decisions
Building Transparent, Human-Centric Tools to Rapidly Assess Post-Disaster Impacts and Needshttps://sabineloos.github.io/GDIF-damageprediction/GDIF_nb.html
Related to Code (Project)

This project, Supporting Equitable Disaster Recovery Through Mapping (Nepal), submitted in response to the 2017 call for proposals by the World Bank’s Development Data Group (DECDG) and the Global Partnership for Sustainable Development Data (GPSDD), is supported by the World Bank’s Trust Fund for Statistical Capacity Building (TFSCB) with financing from the United Kingdom's Department for International Development (DFID), the Government of Korea, and the Department of Foreign Affairs and Trade of Ireland.
Content
G-DIF: A geospatial data integration framework to rapidly estimate post-earthquake damage
Building Transparent, Human-Centric Tools to Rapidly Assess Post-Disaster Impacts and Needs
July 13, 2020 → July 17, 2020
[link] Spatial integration of post-earthquake building damage data to support response and recovery decisions
[link] Rapid integration of post-disaster data: a basis to estimate impact for recovery planning
Global Rapid Damage Mapping Systems with Spaceborne SAR Data
Geospatial data integration framework to estimate post-earthquake regional damages
Post-Disaster Informatics: a technological approach to recovery planning
July 15, 2019 → July 19, 2019