Data · dataset · 2026
XDA28100502 - Research Paper on Crop Growth Monitoring Technology
Listed in ScienceDB
This dataset adopts time-series Sentinel-2 satellite remote sensing data combined with field survey data of typical ground objects in the Sanjiang Plain.
Description
Characteristic bands of major crops and surrounding typical land cover types are screened. The random forest classification algorithm is applied to extract a remote sensing monitoring dataset of the planting distribution of staple crops (rice, corn and soybean) in the Sanjiang Plain from 2020 to 2022.
Verified by field survey samples, the overall accuracy of crop classification in 2020, 2021 and 2022 reaches 95.18%, 95.0% and 94.5% respectively, with corresponding Kappa coefficients of 0.924, 0.925 and 0.919.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.iga.001d2 ↗
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 70% · Satellite remote sensing 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.IGA.001d2 | 9 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 (70%) |
| 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 (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 |