The spatial variability of summer sea ice in the Amundsen Sea seen from MODIS, RADARSAT SCANSAR and LANDSAT 7 ETM+ images
Bibliographic record
Abstract
The summer sea ice extent, concentration and zonation in the Southern Ocean is investigated using three new satellite sensors. They are the MODerate resolution Imaging Spectroradiometer (MODIS) on the first NASA Earth Observing System (EOS) satellite, Terra, the synthetic aperture radar (SAR) on the first Canadian Space Agency Radarsat satellite, and the Enhanced Thematic Mapper Plus (ETM+) on the NASA Landsat 7 satellite. A large number of images of these satellite sensors were acquired in February and March 2000, when a sea ice field campaign was conducted aboard the U.S. research vessel Nathaniel B. Palmer. MODIS images acquired under clear sky conditions provide regional information of the spatial variability of the austral sea ice cover. Mosaics of Radarsat images present complemental information under various weather conditions and fill the MODIS information gap caused by cloudiness. ETM+ images give detailed information of the characteristics of individual ice zones, including the landfast, coastal polynyas, pack ice, and pancake and cake ice zones.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".