Data · dataset · 2026
Multi-source Remote Sensing Dataset of Damaged Buildings and Affected Farmland under Disaster Scenarios in China and Pakistan (2010–2025)
Listed in ScienceDB
Description
This dataset comprises two major components: a damaged building dataset and an affected farmland dataset.(1) The damaged building dataset includes post-disaster imagery and interpretation annotation data covering three disaster scenarios: earthquakes, floods, and wildfires.(2) The affected farmland dataset includes post-disaster imagery and interpretation annotation data specifically for flood scenarios.The specific disaster scenarios and their corresponding post-disaster imagery are detailed as follows:1.
Earthquake Scenarios2025 Xigaze Earthquake: Beijing-3 post-disaster imagery (0.75m resolution).2010 Yushu Earthquake: QuickBird post-disaster imagery (0.61m resolution).2. Flood Scenarios2025 Beijing Flood: Jilin-1 post-disaster imagery (0.5m resolution).2025 Indonesia Flood: GF-7 (Gaofen-7) post-disaster imagery (0.79m resolution).July/September 2025 Pakistan Floods: GF-1 (Gaofen-1) post-disaster imagery (2m and 1.5m resolutions).3.
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Wildfire Scenarios2020 Xichang Wildfire: GF-1 (Gaofen-1) post-disaster imagery (2m resolution).Data Processing and SpecificationsThe acquired post-disaster imagery underwent preprocessing, including image rectification, coordinate transformation, and georeferencing. Subsequently, the imagery was combined with vector data of damaged buildings and affected farmland obtained through manual visual interpretation. The final dataset was constructed following cropping, screening, and classification.
Both the post-disaster imagery and interpretation annotation data are provided in .png format, standardized to a size of 256×256 pixels.The current dataset is complete with no missing entries; any future data additions will be noted in the update specifications.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.36747 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Image 75% · Physical geography and environmental geoscience 71% · Satellite remote sensing 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.36747 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3709 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:remote-sensing | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |