QX/T 251-2014 in English
VALIDQuality grades of L0 and L1 data for FY-3 meteorological satellit
- Issued on:2014-10-24
- Implemented on:2015-03-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$88.00
Introduction
Analysis of the core content of the standard
This standard establishes a complete quality evaluation system for the L0 (original) and L1 (primary product) data of the FY-3 meteorological satellite. The technical points include:
| Data level | Component elements | Quality impact dimensions |
|---|---|---|
| L0 data | Data description record + original detection data | Data missing rate, transmission error |
| L1 data | HDF format attribute information + scientific data set | L0 quality transmission, processing exception, format integrity |
Detailed explanation of the grading system
Five-level classification of L0 data
With the percentage of missing data and total errors as the core indicators: Level 1 (0%), Level 2 (≤10%), Level 3 (10-50%), Level 4 (50-80%), Level 5 (80-100%)
Composite evaluation of L1 data
Adopting a double judgment mechanism:
1. Inheriting the basic quality level of L0 data
2. Superimposing its own processing quality (attribute integrity, scientific data set anomaly rate)
Typical application scenario
When 15% of the L0 data of the medium-resolution spectral imager is missing:
- If there are no new anomalies in the L1 processing process → the final assessment is Level 3
- If the L1 processing generates an additional 10% positioning error → downgrade to Level 4
Technology Evolution Background
This standard inherits and develops from the QX/T137-2011 specification requirements for the HDF format, and innovates the following features of the FY-3 series of satellites:
1. Composite quality evaluation of multi-payload data fusion
2. Introducing the L0→L1 quality transmission mechanism
3. Clarifying the metadata integrity requirements of the HDF5 format
Implementation Suggestions
Key points of quality control:
1. Establish a real-time verification mechanism for L0 data (CRC verification + data packet counting)
2. Set quality threshold fuses in the L1 processing link (such as automatic reprocessing of level 3 data)
3. Develop HDF format validation tool (check property tree integrity)
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