Data · dataset · 2026
Synthesir: Synthesizing infrared bands using the Wide-Field Imager and MSI (Multispectral Imager) optical sensors
Listed in ScienceDB
This dataset provides coregistered WFI–Sentinel 2 MSI patch pairs from AMAZONIA-1, CBERS-4, and CBERS-4A missions, enabling multi-satellite remote sensing applications such as spectral band synthesis and burned-area mapping.
Description
WFI patches contain Blue (1), Green (2), Red (3), and NIR (4) bands, while MSI patches include Red (1), Broad NIR (2), Narrow NIR (3), SWIR-1 (4), and SWIR-2 (5) bands. The Synthesir dataset includes temporally matched and near-temporal observations (0–7 days), along with continuous burned-area probability masks.
A dedicated Sentinel-2 subset is also provided for training and evaluating deep learning models for burned-area semantic segmentation. By combining multi-resolution imagery, temporal variability, and pixel-level annotations, the dataset supports research on image-to-image translation, domain adaptation, weak-label learning, and deep learning-based Earth observation applications.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.43091 ↗
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
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Geomatic engineering 69% · Satellite remote sensing 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.43091 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4013 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:computer-science-ai | mapping · 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: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 |