Data · dataset · 2026
Alpine grassland classification dataset of Sanjiangyuan National Park based on Landsat multispectral remote sensing (2025)
Listed in ScienceDB
Accurate surveys and the creation of land cover maps, along with monitoring land cover changes, serve as the foundation for simulating global carbon and hydrological cycles, studying interactions between surface climate and land use, and assessing land degradation.
Description
Based on field survey data and employing a cloud removal algorithm, this dataset utilizes Landsat satellite imagery to extract vegetation types and land use categories within the Sanjiangyuan National Park.
It compiles and forms three high-resolution (30m) datasets of the latest 2025 high-altitude grassland classifications for the three source regions. The high-altitude grassland type maps of the Yellow River, Yangtze River, and Lancang River source areas covered by this dataset provide valuable references for vegetation monitoring and management in the Sanjiangyuan National Park.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.cjaeb.00074 ↗
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 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.cjaeb.00074 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| 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 (65%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |