Data · dataset · 2026
Chinese Cropland Parcel Dataset
Listed in ScienceDB
In order to address the challenge of fine-grained land parcel extraction in complex agricultural landscapes in China, this study developed the China Farmland Parcel Dataset (CCPD).
Description
This dataset is based on 5-meter resolution remote sensing images and covers 367 representative sample areas from 31 provincial-level administrative regions in China (excluding Hong Kong, Macao, and Taiwan), with a total area of 18485 square kilometers and 280016 manually mapped independent cultivated land parcels.
CCPD not only provides high-precision vector data, but also supports pixel level structured labels, covering typical forms such as plain farmland, sloping farmland, and terraced farmland. It aims to provide a high-quality benchmark platform for the development, training, and evaluation of intelligent farmland extraction algorithms, and to assist in precision agriculture and fragmented land management
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.28364 ↗
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
- Agriculture, land and farm management 71% · Image 65% · Satellite remote sensing 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.28364 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3002 | 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 (65%) |
| 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 |