Central Asia exposure dataset - access to building, population, infrastructure, agriculture data for risk analytics.
| Exposure category | Buildings |
|---|---|
| Metric Dimension | Structure |
| Metric Quantity Kind | Currency |
| ID of dataset | CA_SFRARR_exp |
|---|---|
| Publisher of dataset | RED - Risk, Engineering Development - Pavia (Italy) |
| Dataset version | 2022 |
| Data purpose | Regional risk modelling. These data have been derived on a regional scale for the purpose of consistent regional multi-country hazard and risk assessment. Application of this information on smaller scales should be done with care. Importantly on a local scale, it is often the case that more detailed history and hazard information is required to perform such hazard and risk modelling, particularly were applied to dimension mitigation structures or strategies., it is often the case that more detailed history and hazard information is required to perform such hazard and risk modelling, particularly were applied to dimension mitigation structures or strategies |
| Project that produced the dataset | SFRARR - Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia |
| Additional details | Data from the EU-funded 'Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia' Program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia). Exposure data developed using high-resolution global and regional datasets and local official data, harmonized to produce a regionally-consistent exposure database for Central Asia. The exposure database includes: population, residential buildings, non-residential buildings (schools, healthcare facilities, industrial and commercial buildings), croplands, transportation system (roads, railways and bridges), airports and airstrips, mines, and supply infrastructure. The exposure database developed during this project can be used at regional scale, national scale or sub-national scale (e.g., at Oblast scale). |
| Creator | Chiara Scaini |
| Contact Point | Paola Ceresa |
| License | CC-BY-SA-4.0 |