Data · dataset · 2025
The research on the urban functional zones of Beijing, Shanghai and Chengdu involves data
Listed in ScienceDB
Description
Road network vector from the open street map (OSM) (openstreetmap.org/), the last time to access the data in 2023. OSM, as a form of voluntary geographic information (VGI) and distributed geographic information.High-resolution GF-2 remote sensing images from China Resources Satellite Application Center (cresda.com/). The multispectral spatial resolution of the GF-2 optical satellite is 3.2 meters, and the panchromatic spatial resolution is 0.8 meters.The building data for 2022 also comes from Autonavi Maps(amap.com/), which is a vector dataset that combines the geographical location and height information (mainly floor information) of buildings.SDGSAT - 1 satellite 2022 NTL data from sustainable development goal of large data centers for international studies (sdgsat.ac.cn/).
It is the first satellite for monitoring and evaluating the Sustainable Development Goals. The satellite's low-light imager has three visible light bands and one panchromatic band, with spatial resolutions of 40 meters and 10 meters respectively. The data utilized in this study issourced fromSDGSAT-1 and provided by CBASCenter of Big Data for Sustainable Development Goals (CBAS).
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.28933 ↗
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
- Human geography 74% · Image 65% · Satellite remote sensing 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.28933 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4406 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| 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_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 |