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Record W2060739529 · doi:10.1080/07038992.2014.1012836

Evaluation of RADARSAT-2 DInSAR Seasonal Surface Displacement in Discontinuous Permafrost Terrain, Yellowknife, Northwest Territories, Canada

2014· article· en· W2060739529 on OpenAlexafffundvenueabout
S A Wolfe, N Short, Peter Morse, Steve H. Schwarz, Christopher W. Stevens

Bibliographic record

VenueCanadian Journal of Remote Sensing · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsGovernment of Northwest TerritoriesUniversity of OttawaGeological Survey of CanadaCarleton University
FundersNatural Resources Canada
KeywordsTerrainPermafrostGeologyDisplacement (psychology)GeomorphologyBedrockInterferometric synthetic aperture radarPhysical geographySynthetic aperture radarGeodesyRemote sensingGeographyCartographyOceanography

Abstract

fetched live from OpenAlex

. Differential Interferometric Synthetic Aperture Radar (DInSAR) is an increasingly viable method for assessing permafrost terrain stability, but the accuracy and performance within discontinuous permafrost terrain has not been well studied. We used a RADARSAT-2 DInSAR data stack for a 120-day period in the summer of 2010 to map seasonal surface displacement in the discontinuous permafrost terrain of Yellowknife, Northwest Territories. Calculated displacement was compared to surficial geology and municipal land use zones. Displacement results reveal that glaciofluvial, glaciolacustrine, humanly modified, and organic terrain are increasingly unstable, in contrast to predominantly stable bedrock. Within municipal zones, increased proportional displacement is related to higher proportions of glaciolacustrine sediments and organic terrain. Organic terrain, associated with the highest proportion of the moderate downward displacement (−3.0 cm to −6.0 cm), occupies less than 6% of the total area. Widespread glaciolacustrine sediments (30% total area) are associated with most of the downward displacement in municipal zones. Semi-quantitative field and geotechnical validations indicate that most areas of moderate seasonal downward displacement in developed areas also represent areas of long-term subsidence. This work shows that even a short InSAR data stack and a simple stack processing method can yield information that is useful for municipal knowledge and planning.Résumé. L’interférométrie différentielle par radar à synthèse d’ouverture (DInSAR) est une méthode de plus en plus viable pour évaluer la stabilité des terrains en zone de pergélisol, mais la précision et la performance dans les zones de pergélisol discontinu ne sont pas bien étudiées. Nous avons utilisé une pile de données DInSAR de RADARSAT-2 d’une période de 120 jours au cours de l’été 2010 pour cartographier le déplacement saisonnier de la surface du sol dans la zone de pergélisol discontinu de Yellowknife, Territoires du Nord-Ouest. Le déplacement calculé a été comparé à la géologie de surface et les zones municipales d’utilisation des terres. Les résultats de déplacements révèlent qu’en ordre de stabilité, du plus stable au moins stable, on trouve les zones fluvio-glaciaires, glacio-lacustres, humainement modifiées et organiques, tandis que le substrat rocheux est essentiellement stable. Dans les zones municipales, le déplacement proportionnel accru est lié à des proportions plus élevées de sédiments glacio-lacustres et du terrain organique. Le terrain organique, associé à la plus forte proportion du déplacement modéré vers le bas (−3.0 à −6.0 cm), occupe moins de 6% de la superficie totale. Les sédiments glacio-lacustres répandus (30% de la superficie totale) sont associés à la plupart des déplacements vers le bas dans les zones municipales. Les validations semi-quantitatives de terrain et géotechniques indiquent que la plupart des zones de déplacement saisonnier modéré vers le bas dans les régions développées représentent également des zones d’affaissement à long terme. Ce travail montre que même une pile de données InSAR de courte durée et une méthode de traitement de pile simple peuvent donner des informations utiles pour la connaissance et la planification municipale.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.022
GPT teacher head0.226
Teacher spread0.204 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations27
Published2014
Admission routes4
Has abstractyes

Explore more

Same venueCanadian Journal of Remote SensingSame topicClimate change and permafrostFrench-language works237,207