SATELLITE MULTISPECTRAL AND INFRARED IMAGERY ANALYSIS TO CONTEXTUALIZE BRIDGE STRUCTURAL HEALTH OBSERVATIONS – A STUDY OF THE SAMUEL DE CHAMPLAIN BRIDGE IN MONTREAL, CANADA
Bibliographic record
Abstract
In 2021-2022, two related validation studies were conducted on structural health monitoring of the Samuel de Champlain Bridge in the La Prairie Basin of the Saint Lawrence River near Montreal, Canada. In the first study, C-band satellite Interferometric Synthetic Aperture Radar (InSAR) observations of bridge line-ofsight thermal displacement measurements were compared to predicted values. A companion observational study of multispectral (MS) imagery assessed turbulent and flow features on the river’s surface that are indicative of changes in the riverbed morphology and used stereo MS imagery to derive river velocity vectors using a Particle Image Velocimetry (PIV) algorithm. This paper presents the preliminary findings of a follow-up study, in which timeseries of InSAR displacement observations at nine piers of the Samuel de Champlain Bridge were compared to water depth, ambient water surface temperature from satellite imagery, and ambient air temperature from a nearby in-situ weather station.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".