Detection and mapping of the November 2002 PRESTIGE Tanker oil spill in Galicia, Spain, with the airborne multispectral CASI sensor
Bibliographic record
Abstract
After the Bahamas registered oil tanker PRESTIGE sank off the Spanish coast on November 13 th, 2002, an aerial remote sensing campaign was mobilized at short notice thanks to a collaboration between AvelMor and Borstad Associates Ltd. (respectively French and Canadian research and development companies specialized in oceanography and high resolution remote sensing). Airborne CASI multispectral imagery was acquired to assess and demonstrate the capability of this aerial sensor to map the extent of a spill. Mission planning, instrument bandset configuration, flight line planning, data collection, processing, results, and analysis of the data obtained are presented here. Further conclusions will be drawn after the experimental oil spill planned for June 2003 off Brittany, France, and under the control of the French Navy. We intend to build an operational multispectral airborne remote sensing based system for an efficient and fast detection, characterization, mapping, and monitoring of pos 1 sible future oil spills. This paper presents the main scientific challenges and objectives of this project.
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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 | 0.000 |
| 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 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".