Short time‐span ice tracking using sequential AVHRR imagery
Bibliographic record
Abstract
Abstract As part of an international study of the North Water Polynya, the Royal Military College of Canada (BMC) installed a Quorum Advanced Very High Resolution Radiometer (AVHRR) ground station at Canadian Forces Station Alert (82°31'N 62°17'W), situated on the northern tip of Ellesmere Island. The extreme northern location of the station permitted image reception every 1.7 hours. A total of 1440 images were recorded and stored between March and August 1998. Of particular interest was a rapidly sampled sequence on 16 and 17 June that documented the rapid dissolution of ice in Nares Strait, extending from the Lincoln Sea to Smith Sound. This allowed a systematic investigation of the effect of the time increment in calculating surface flow speeds in an energetic regime. A maximum cross‐correlation (MCC) ice‐tracking algorithm was applied to 10 images to study the southward movement of ice through the strait. The short time span between sequential images, ranging from 1.7 to 6.7 hours, provided a unique dataset for the MCC technique. The results revealed a relationship between higher cross‐correlation coefficients (ρ) and decreasing time spans. The best results were obtained for a 5‐hour time span with ρ > 0.5. Additionally, it was found that lower values of p can be expected in areas of increased ice congestion. Assessment of the ice‐tracking algorithm was carried out by visually comparing the movement of selected floes to tracker results.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 teacher head, 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".