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Record W2073080510 · doi:10.1115/ipc2004-0013

Advances in the Use of Spaceborne InSAR for Application to Pipeline Route Selection and Integrity Management

2004· article· en· W2073080510 on OpenAlexaboutno aff
Corey Froese, Marco van der Kooij, Keith Kosar

Bibliographic record

Venue2004 International Pipeline Conference, Volumes 1, 2, and 3 · 2004
Typearticle
Languageen
FieldEngineering
TopicSynthetic Aperture Radar (SAR) Applications and Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsInterferometric synthetic aperture radarTerrainPipeline (software)Remote sensingGround movementSynthetic aperture radarSubsidenceGround subsidenceGeologyVegetation (pathology)Pipeline transportTracking (education)Radar imagingRadarComputer scienceMining engineeringGeodesyEnvironmental scienceGeotechnical engineeringGeographyCartographyTelecommunicationsGeomorphology

Abstract

fetched live from OpenAlex

Spaceborne Synthetic Aperature Radar (InSAR) is a technique that has been used to measure ground movements associated with slope movements and subsidence since the mid-90’s. Previous applications had utilized either dry terrain with no vegetation cover or have relied on the use of articial targets to quanitify deformations. Recent advances in the processing technology have allowed for sub-millimetre level accuracy movements tracking over long time periods and for detection of movements as small as 2 mm/month in vegetated slopes in northern Canada. The archival data and the active aquisitions allow engineers working in the pipeline industry to both review previous movement rates and patterns for planning of pipeline routes and provides a tool for ongoing monitoring of deformations due to ground subsidence or slope movement for operational pipelines.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.903
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.261
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreMethods

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".

Quick stats

Citations2
Published2004
Admission routes1
Has abstractyes

Explore more

Same venue2004 International Pipeline Conference, Volumes 1, 2, and 3Same topicSynthetic Aperture Radar (SAR) Applications and TechniquesFrench-language works237,207