Data · dataset · 2026
Venezuela Earthquake 2026 Landcover
Listed in Teesside University Research Data Repository
This dataset contains 216 manually annotated very high resolution (0.5 m) satellite image tiles covering La Guaira, Caracas, and Catia La Mar, Venezuela.
Description
The imagery was acquired by the SkySat and Pelican constellations on 26–27 June 2026, two to three days after the earthquake of 24 June 2026. Each 512 × 512 pixel tile was annotated for semantic segmentation into five land-cover classes: building, road, vegetation, bare_soil, and water.
The release includes RGB image tiles, annotation masks, per-tile provenance and image-quality records, machine-readable metadata, and a written annotation protocol. Pixel value 0 represents unannotated regions and should be treated as an ignore value during training and evaluation.
Links
Where it is published
- DOI doi.org/10.17632/6j8s2rvx24.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Photogrammetry and remote sensing · Satellite remote sensing
- Inferred from text
- Image 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/6j8s2rvx24.1 | 14 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:401304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Remote Sensing'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:remote-sensing | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Remote Sensing'] |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |