Radarsat Constellation Mission Derived Winter Glacier Velocities for the St. Elias Icefield, Yukon/Alaska: 2022 and 2023
Bibliographic record
Abstract
Here we use high resolution (5 m) Radarsat Constellation Mission (RCM) imagery acquired in winters 2022 and 2023 to determine motion across glaciers of the St. Elias Icefield in Yukon/Alaska.Our regional velocity mapping largely conforms with previous studies, with faster motion (>600 m/yr) for the glaciers originating in the Yukon that drain southward and westward to the coast of Alaska and relatively slower motion (100-400 m/yr) for the land terminating glaciers that drain eastward and northeastward and stay within the Yukon.We also identify two new glacier surges within the icefields: the surge of N a ud ay (Lowell) Glacier in Winter 2022, and Chitina Glacier in Winter 2023, and track the progression of each surge from January to March utilizing 4-day repeat RCM imagery.To evaluate the quality of RCM-derived velocities, we compare our results with 50 simultaneous measurements at three on-ice dGPS stations located on two Yukon glaciers and find the average absolute difference between measurements to be 6.6 m/yr.Our results demonstrate the utility of RCM data to determine glacier motion across large regions with complex topography, to support process-based studies of fast flowing and surge-type glaciers and continue the legacy of velocity products derived from the Radarsat-2 mission. RSUMDes images haute r esolution (5 m) de la Constellation Radarsat (RCM)) acquises au cours des hivers 2022 et 2023 ont et e utilis ees pour d eterminer le mouvement les glaciers a travers du champ de glace St. Elias au Yukon/Alaska.Notre cartographie des vitesses r egionales est largement conforme aux etudes pr ec edentes, avec un mouvement plus rapide (>600 m/an) pour les glaciers provenant du Yukon qui s' ecoulent vers le sud et l'ouest jusqu' a la cte de l'Alaska et un mouvement relativement plus lent (100 a 400 m/an) pour les glaciers terrestres qui s' ecoulent vers l'est et le nord-est et restent au Yukon.Nous avons identifi e deux nouvelles progressions glaciaires dans les champs de glace: l'avancement du glacier N a ud ay (Lowell) en hiver 2022 et celle du glacier Chitina en hiver 2023, et suivons leur progression de janvier a mars en utilisant des images RCM acquises aux 4 jours.Pour evaluer la qualit e des vitesses d eriv ees de RCM, nous comparons nos r esultats avec 50 mesures simultan ees a trois stations dGPS situ ees sur deux glaciers du Yukon et constatons que la diff erence absolue moyenne entre les mesures est de 6,6 m/an.Nos r esultats d emontrent l'utilit e des donn ees RCM pour d eterminer le mouvement des glaciers dans de vastes r egions a topographie complexe, pour appuyer les etudes sur les glaciers ayant un ecoulement rapide et une augmentation du volume et pour perp etuer l'h eritage des produits de vitesse d eriv es de la mission Radarsat-2.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".