Data · dataset · 2026
Sen2GF3Floods: A Novel Multi-Source Remote Sensing Dataset for Flood Mapping
Listed in ScienceDB
Sen2GF3Floods is a newly developed multi-source remote sensing dataset designed to strike a balance among data volume, annotation accuracy, and labeling efficiency.
Description
It is the first dataset to combine pre-disaster Sentinel-2 optical imagery with post-disaster Gaofen-3 (GF-3) synthetic aperture radar (SAR) data. The final dataset comprises 21,483 standardized samples, capturing nine significant flood events with high annotation quality.The dataset contains six spectral bands: four from Sentinel-2—red (Band 4), green (Band 3), blue (Band 2), and near-infrared (Band 8)—and two SAR bands from GF-3, specifically HH and HV polarizations.
All bands are resampled to a uniform spatial resolution of 10 meters to ensure consistency across data sources.The dataset directory is organized into three main folders: sentinel2, gaofen3, and label. The Sentinel2 folder contains pre-disaster optical imagery acquired from Sentinel-2, while the gaofen3 folder includes post-disaster SAR imagery collected by Gaofen-3. The label folder provides the corresponding pixel-level annotation maps indicating flooded and non-flooded regions, ensuring clear spatial alignment with the input image pairs.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.25341 ↗
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% · Satellite remote sensing 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.25341 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| 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 |