The Cambridge Disaster Risk Quantification Auditing Project
Published 2025 | Version 0.0.0
Dataset Open

METEOR 2.5D: An Open Geospatial Dataset of Spatiotemporal Evolution of Physical Vulnerability in UN-recognized Least Developed Countries (as of 2020) at Five-year Intervals, 1975-2030 (Part 1 of 2)

Authors/Creators

  • 1. University of Cambridge
  • 2. UKRI Centre for Doctoral Training (CDT) in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER)
  • 3. Cambridge University Centre for Risk in the Built Environment (CURBE)
  • 4. ROR icon Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
  • 5. ROR icon University of Bonn

Description

A novel open geospatial dataset, METEOR 2.5D, that spatially refines the existing METEOR dataset (i.e., from 450-meter to 90-meter scale) and significantly extends it with country-wide dynamic evolution of regional exposure and physical vulnerability for 46 UN-recognized Least Developed Countries as of 2020, provided at five-year intervals between 1975 and 2030.

Notes (English)

History of Versions: 

  • v0.0.0 (2025-08-01): Initial and anonymized upload for scientific peer review purposes

Technical info (English)

Countries:

  1. AFG: Afghanistan
  2. AGO: Angola
  3. BDI: Burundi
  4. BEN: Benin
  5. BFA: Burkina Faso
  6. BGD: Bangladesh
  7. BTN: Bhutan (graduated from LDC status in December 2023)
  8. CAF: The Central African Republic
  9. COD: The Democratic Republic of the Congo
  10. COM: The Comoros
  11. DJI: Djibouti
  12. ERI: Eritrea
  13. ETH: Ethiopia
  14. GIN: Guinea
  15. GMB: The Gambia
  16. GNB: Guinea-Bissau
  17. HTI: Haiti
  18. KHM: Cambodia
  19. LAO: The Lao People's Democratic Republic
  20. LBR: Liberia
  21. LSO: Lesotho
  22. MDG: Madagascar
  23. MLI: Mali

Files

_reference.pdf

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Additional details

Funding

UK Research and Innovation
EP/S022961/1 UKRI Centre for Doctoral Training in Application of Artificial Intelligence to the study of Environmental Risks (AI4ER)