Geological Mapping in the Canadian Shield: Implications for RADARSAT-2
Bibliographic record
Abstract
Recent results have shown that RADARSAT-1 images have provided geologists with useful information in mapping structure and geomorphology and rock units in vegetated and non-vegetated terrains. In this paper, we evaluate the role of the additional capabilities planned for RADARSAT-2 for geological mapping in a typical Precambrian Shield terrain. Specifically, this involves the role of high resolution and polarimetric data for mapping outcrops and other geological features. For this evaluation, we have acquired two airborne high-resolution polarimetric SAR data set in the Madawaska Highlands area of Ontario. The areas are typical 'Canadian Shield terrains ' and consist of 10-30% Precambrian outcrops, variable thickness of drift cover and a dense to sparse forest cover. The imagery was acquired to simulate RADARSAT-2 Ultra Fine modes using the Environment Canada CV-580 C-band SAR system originally developed by CCRS. Our initial results show that in vegetated areas, the improved spatial resolution of RADARSAT-2 will be more useful for geological mapping than the polarization capability. However, we are finding that the polarimetric composites are providing additional details in lineament definition in some areas. The reason for this is not clearly understood.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".