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 2 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. MMR: Myanmar
  2. MOZ: Mozambique
  3. MRT: Mauritania
  4. MWI: Malawi
  5. NER: The Niger
  6. NPL: Nepal
  7. RWA: Rwanda
  8. SDN: The Sudan
  9. SEN: Senegal
  10. SLB: Solomon Islands
  11. SLE: Sierra Leone
  12. SOM: Somalia
  13. SSD: South Sudan
  14. STP: Sao Tome and Principe
  15. TCD: Chad
  16. TGO: Togo
  17. TLS: Timor-Leste
  18. TUV: Tuvalu
  19. TZA: United Republic of Tanzania
  20. UGA: Uganda
  21. VUT: Vanuatu (graduated from LDC status in December 2020)
  22. YEM: Yemen
  23. ZMB: Zambia

Files

_reference.pdf

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Additional details

Funding

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