Data · dataset · 2026
Joint photometric observational data from the Kunming Station and Lenghu Station
Listed in ScienceDB
This dataset contains the results of joint space target optical observations conducted simultaneously by the Kunming and Lenghu observatories, providing real-world measurements essential for attitude determination and characteristic analysis of typical space objects.
Description
Leveraging the unique geographical layout and optical instrumentation at both sites, the observations employ a quasi-synchronous mode to continuously collect photometric data from various typical space targets.
This approach effectively overcomes limitations inherent in single-site observations—such as limited viewing angles and low data tolerance—offering reliable support for high-precision inversion of space object attitude parameters.The dataset is acquired through a dual-site spatiotemporal matching observation strategy. Under unified standards for observation timing, spectral bands, and detection thresholds, synchronized photometric sampling is performed at both Kunming and Lenghu stations, generating highly matched quasi-synchronous photometric data.
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The dataset comprehensively records the optical radiance and magnitude time series of space targets during the observation period, while also preserving auxiliary information such as observation times, azimuths, instrument parameters, and station coordinates, enabling full traceability between observational data and operational conditions.Compared to single-site observations, this dual-site quasi-synchronous dataset enables effective separation of photometric variations caused by orbital motion, attitude rotation, and surface material scattering through multi-perspective, concurrent photometric differences.
It accurately captures the spatiotemporal evolution patterns of target optical scattering characteristics. Primarily supporting research on attitude state identification and parameter inversion of typical space objects, the dataset features excellent temporal continuity, high spatiotemporal matching accuracy, and strong authenticity of field measurements. It provides solid empirical data foundation for scientific studies including space object attitude characterization, optical observation modeling, and validation, and serves as a robust resource for space target monitoring, feature recognition, and situational awareness.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00149.00017 ↗
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 74%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00149.00017 | 11 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 (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 | |
| 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 |