Data · dataset · 2025
Spatial Distribution Points of Major Coastal Aquaculture Zones in China (2022)
Listed in ScienceDB
This dataset is a derived product from the "first 2 m resolution multi-class national-scale spatial distribution dataset of offshore observable marine aquaculture in China (RCdata_2022_2m)".
Description
The original dataset, created using deep learning methods, extracted the polygon vector boundaries of raft and cage aquaculture zones in offshore China from high-resolution (HSR) remote sensing imagery.To facilitate rapid analysis and visualization, this dataset provides the geometric centroids of aquaculture polygons from the original dataset that have an area greater than 1200 square meters.
Each centroid is a single data record, with attribute information that includes the area of the original polygon and its type: Raft (label: 1) or Cage (label: 2). The dataset is provided in the GeoPackage (.gpkg) format and serves as crucial data support for research in marine spatial planning, aquaculture capacity assessment, and marine ecological environment monitoring.Please contact the author to obtain the complete RCdata_2022_2m dataset.Related Paper:Chen, Y., He, G., Yin, R., Wang, G., & Peng, X. (2025).
Read the rest (1 more)
Hierarchical pyramid refined U-Net for creating the first 2 m resolution multi-class national-scale spatial distribution dataset of offshore observable marine aquaculture in China. International Journal of Digital Earth, 18(1). doi.org/10.1080/17538947.2025.2520471
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.28386 ↗
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 · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Aquaculture 76% · Satellite remote sensing 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.28386 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:field:300501 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (76%) |
| 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:ocean-atmospheric | 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 |