This paper uses geospatial analyses to create a COVID Vulnerability Mapping Dashboard that examines and displays social vulnerability indices at the national and subnational levels in Indonesia.
This work aims at developing a GIS-based FDICH that (i) weights exposure based on the level of listing, (ii) weights vulnerability based on ad-hoc taxonomy, (iii) provides a damage density per unit surface instead than a point classification.
International Journal of Disaster Risk Reduction (Elsevier)
This study aims to evaluate the variability in the model simulations caused by the cross-sectional orientations in using light detection and ranging (LiDAR) for flood modelling.
This study introduces a new statistical approach for quantifying the weights used in landslide susceptibility mapping and their associated uncertainty.
Romania is a flood prone country. The overall annual expected damage due to flooding in Romania is EUR 1.7 billion affecting an average of 150.000 citizens every year.
To help community become more resilient to natural hazards, Medair expanded its existing Early Warning System project to this region in 2020, and have been working with 184 communities.
After devastating earthquakes, it’s common to see discussion of earthquake prediction. An earthquake prediction requires, in advance, the specific time, location and magnitude of a future quake.
UNOSAT experts delivered a series of tailored training in November and December 2022 in 3 countries of the Pacific: Vanuatu, the Solomon Islands, and Fiji. Building upon past activities, these sessions aimed to enhance GIS capacity for Climate Resilience.
United Nations Institute for Training and Research
