Data · dataset · 2026
Guizhou Mawei River Ecosystem Services Dataset
Listed in ScienceDB
English‑translated version (academic‑journal style, suitable for papers)Ⅰ.
Description
Temporal informationObservation years: 2000, 2004, 2008, 2012, 2016 and 2020, forming six‑phase datasets. Temporal resolution: a 4‑year interval.
Both the land‑use datasets and five ecosystem‑service indicators are static annual evaluation results for the corresponding years. Research time span: 2000‑2020.Ⅱ. Spatial informationStudy area: the Mawei River Basin of Guizhou.
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The watershed boundary is extracted from watershed divides via hydrological analysis on DEM data. Spatial resolution: all raster datasets adopt a uniform pixel size of 30 m × 30 m. Recommended projected coordinate system: CGCS2000‑UTM projection.
It fits the karst mountainous terrain of Guizhou and guarantees computational accuracy for distance, area and hydrological‑related parameters.Ⅲ. Composition and spatiotemporal attributes of all datasets(1) Land‑use datasetData source: Landsat‑series remote‑sensing images acquired in each target year. Acquisition procedures: remote‑sensing image pre‑processing (radiometric calibration, atmospheric correction and study‑area clipping), followed by human‑computer interactive supervised classification and interpretation.
Field investigation and verification are conducted for dataset revision to obtain land‑use rasters of the basin. Spatial resolution: 30 m Temporal coverage: 2000, 2004, 2008, 2012, 2016 and 2020. Application: serving as the fundamental input for the InVEST model, NPP estimation and other models, to support the calculation of water yield, soil retention, habitat quality, carbon storage and other ecosystem‑service factors.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.46330 ↗
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
- Image 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.46330 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| 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_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 |