RADARSAT-1 Radiometric Performance Maintained in Extended Mission
Bibliographic record
Abstract
Since its launch on November 4,1995 and the start of the routine operation on April 1, 1996, RADARSAT-1, the first Canadian SAR remote sensing satellite, provides calibrated data to worldwide users for their intended applications. Significant effort continues to be expended in the provision of radiometrically and geometrically calibrated products generated by the Canadian Data Processing Facility (CDPF). Since the end of the initial Calibration Phase in 1997, both single beams and ScanSAR are monitored routinely as part of the Maintenance Phase for radiometric performance using images of the Amazon Rainforest. In 2002, a major upgrade of the ScanSAR processor completed in CDPF made significant improvements in image quality. Since 1998, calibration measurements indicated changes in the characteristics of several previously calibrated elevation antenna patterns. Compensation for beam pattern changes is made in the processor by re-calibrating these beams. In addition, both single beams and ScanSAR are monitored routinely as part of the Maintenance Phase for image quality performance using images of RADARSAT-1 Precision Transponders (RPTs). On-board, internal calibration of the SAR instrument is also monitored. Software tools are continually developed to improve image quality operational efficiency, and new experiments are being undertaken in the context of the current extended mission. In mid 2002, due to aging considerations for the On-Board Recorder, sites within Canadian mask have been envisioned for their ability to support radiometric analyses, as a potential alternative
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".