Current State of Satellite-Based Right of Way Encroachment Monitoring for Mechanical Damage Prevention
Bibliographic record
Abstract
The past decade has seen the continued development and the implementation of satellite-based Right of Way (RoW) encroachment monitoring as an element of the pipeline industry’s toolbox for proactive prevention of mechanical damage. This paper presents a brief overview of the underlying technology, the current applied capabilities and an illustration of where the technology fits within the industry’s toolbox. The early results of two ongoing studies concerning the implementation of satellite-based RoW encroachment monitoring are discussed. Both studies, sponsored by VUPS and PRCI-Alliance Pipeline respectively, were intended to further advance the technology and its delivery to the industry. The VUPS-sponsored project demonstrated the feasibility of integrating satellite-based monitoring within the operations of a utility “one call” to deliver the technology’s benefits to several pipeline operators within the project’s area of interest. The PRCI-Alliance Pipeline sponsored study investigated the potential higher resolution detection capabilities of a virtual constellation of satellites. Together the two studies demonstrate the applicability of the technology for Encroachment Monitoring and the means to deliver its benefits to the pipeline industry.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".