Digital Elevation Model from raw CoSSC TanDEM-X data (2015) in the area of Trail Valley Creek, Northwest Territories, Canada
Bibliographic record
Abstract
We have generated a digital elevation model (DEM) of an area between the town of Inuvik and Eskimo Lakes near the Mackenzie Delta, Northwest Territories, Canada. We used seven TanDEM-X CoSSC pairs, acquired in summer 2015 during the TanDEM-X Science Phase, and provide here the mean elevation of the seven produced DEMs (GeoTIFF raster). The processing was based on differential SAR interferometry with the use of ArcticDEM as reference. We also provide the standard deviation map of the seven DEMs (GeoTIFF raster) as a quality indicator. The final mean DEM was validated against DGPS measurements. Height values are given in meters in reference to ellipsoid (WGS84). The pixel size of the products is 10 m. The coordinate reference system is UTM Zone 8N WGS84. Detailed description of the TanDEM-X data, interferometric processing, and the validation is given in the attached metadata file.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.016 |
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".