Published 2025
| Version 0.0.0
Dataset
Open
A Local-Scale Dataset of Annual Spatiotemporal Maps of Physical Vulnerability in the Cyclone-Impacted Coastal Khurushkul Community (Bangladesh) and Mudslide-Affected Freetown (Sierra Leone) (2016–2023) via Graph Variational State-Space Model (GraphVSSM)
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.
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
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5.
University of Bonn
Description
A high-resolution demonstration of yearly changes in physical vulnerability from 2016 to 2023 in the cyclone-impacted coastal Khurushkul community in Bangladesh (also known as "the world's largest climate refugee rehabilitation project") and mudslide-affected Freetown in Sierra Leone in 2017.
File Descriptions:
-
Khurushkul_BGD_METEOR_prior.zip - Prior Input
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Khurushkul_BGD_GoogleOpen25D_BldgHeight.tif - Covariate Input
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Khurushkul_BGD_OV_V.zip - Posterior Output
- Freetown_SLE_METEOR_prior.zip - Prior Input
- Freetown_SLE_GoogleOpen25D_BldgHeight.tif- Covariate Input
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Freetown_SLE_OV_V.zip - Posterior Output
Notes (English)
History of Versions:
- v0.0.0 (2025-08-01): Initial and anonymized upload for scientific peer review purposes
Files
samplePreview_OV_V.pdf
Files
(15.0 GB)
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md5:9c522141a650cabdeb55d0f12ccca0cc
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md5:efe79c0f854508ea15258471d2a7fb5a
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md5:31f84bea0da2180d51c3c91bb8b1c9e8
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9.4 GB | Preview Download |
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md5:6277a5dd4d02295a4d95ed678390c688
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75.0 MB | Preview Download |
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md5:95b983c68ad4d9ddb3aa4cc41dacb28d
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md5:884f200c00a3d8cfca29fc8a9fe080e0
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4.9 GB | Preview Download |
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md5:947a059beb1a66c9b9f6227987e68c66
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1.1 MB | Preview Download |
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