Data · dataset · 2023
22/5000 Cloud and snow classification of Fengyun satellite remote sensing data in 2021-2022
Listed in ScienceDB
A total of 270 FY4A-AGRI L1 image data were collected from November 2021 to March 2022 in this dataset.
Description
The original images were downloaded from Fengyun Satellite Remote Sensing Data Service Network (NSMC.org.cn) and preprocessed by radiometric calibration, geometric correction and cropping. Fengyun-4 is China's second-generation geostationary orbit satellite, which was successfully launched on December 11, 2016.
Multi-channel Scanning Imaging radiometer (AGRI) is one of the main payloads of geostationary meteorological satellites. It has a precise dual-scanning mirror structure, which can realize the rapid scanning of the region at minute level and obtain multi-time data. AGRI can mainly obtain cloud images, capture aerosols and snow, and clearly distinguish different cloud forms and water vapor in the high and middle layers.
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The decision tree classification method is used to identify the cloud, snow and cloud and snow blend information for the first time, and then combined with visual interpretation to draw. Label attribute values: 0 for background, 1 for snow, 2 for cloud, 3 for cloud and snow blend.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00076.00122 ↗
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
- Geoinformatics 69% · Image 75% · Imaging 75% · Satellite remote sensing 75%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00076.00122 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3704 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| 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%) |
| concepts[modality].local:modality:imaging | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |