Remote sensing as a geological mapping tool in the Arctic: preliminary results for Baffin Island, Nunavut
Bibliographic record
Abstract
A study involving the application of remote sensing technology for geological mapping in arctic environments has been initiated in southern Baffin Island. Various remotely sensed imagery, characterized by different wavelengths and spatial and spectral resolutions, have been or is presently being acquired. This area has been chosen as it represents a typical arctic geological and biophysical environment. It has a variety of lithologies ranging from gneissic and/or granitoid basement rocks to rift-related volcanic and sedimentary rocks to younger overlying Paleozoic sediments, and has been mapped on a regional scale (1:100 000) by the Geological Survey of Canada.Particularly relevant for this project is the recent advancement of hyperspectral remote-sensing technology. Eleven lines of high-resolution hyperspectral data have been acquired using the Noranda Probe sensor over the study area. Preliminary results indicate that the optical sensors (Landsat TMand Probe) provide useful information with respect to compositional layering, structural patterns, and vegetation.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".