Data · dataset · 2025
A multi-temporal image sample set for the composition classification of Taihu Wetland based on Sentinel-2
Listed in ScienceDB
The sample images were created by stacking the following layers in sequence: the median RGBN composite from June-September, median NDVI and NDWI from March-May, and median NDVI and NDWI from October-December.
Description
These layers were derived from 2024 Sentinel-2A/B imagery with cloud coverage less than 20%. After 4× upsampling, samples were collected as 32×32 pixel patches.
The dataset encompasses ten ecological classes: Forest, Grassland, Bareland, Impervious Surface, Water, Cropland, Algal Bloom (AB), Emergent (EAV), Submerged (SAV), and Floating Aquatic Vegetation (FAV).The training and validation sets were divided in a 7:3 ratio. The training samples were augmented through 90°, 180°, and 270° rotations, as well as horizontal and vertical flipping.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.29478 ↗
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
- Geomatic engineering 69% · Image 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.29478 | 11 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: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%) |
| 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 |