Last modified: 2016-05-18
Abstract
It seems no region in the world is immune to the effects of extreme events and disasters. Having good Spatial Data Infrastructure and statistical data is one of the requirements for effective risk reduction and recovery. If not, how can we locate, reduce or measure extreme events and disasters?
The session will discuss data gaps and possibilities provided by the combination of geospatial, existing statistics and earth observations data, and share the results of a survey on how statistical and geospatial offices are currently contributing to this area. The session will also reflect on the collaboration needed to measure progress towards the 2030 Sendai Framework for Disaster risk reduction.
The year 2015 has become the most important in terms of attention and measurement of Extremes and Disasters at a global level because the inertia and interest of the work of the various member countries of the UN have culminated in the establishment of various working groups, which contribute to building frameworks address the ravages of climate change on several fronts to address: Emergencies in the face of Disasters (UN-GGIM), Disaster Risk Reduction (UNECE DRR), Measurement of Extreme Events and disaster (UNECE MEED); the recurring issue was the importance of joint international work across user communities and expert networks working on statistics, climate issues, spatial data and disaster risk Reduction; to address the extremes events and disasters in all their phases: prevention, preparedness, response and reconstruction.