Mapping terrestrial impact craters with the<b><i>TanDEM-X</i></b>digital elevation model
Bibliographic record
Abstract
The TanDEM-X digital elevation model (DEM), generated by the TanDEM-X mission, provides a unique opportunity for studying the topography and morphology of terrestrial impact structures. In the TanDEM-X mission, the two Earth-orbiting X-band radar satellites TerraSAR-X and TanDEM-X are operated in close formation to act as a single-pass interferometer. Interferometric processing of the acquired data yields a global DEM with unprecedented accuracy of better than 4 m and a spatial resolution of 12 m. We investigate how the TanDEM-X DEM can be used for mapping terrestrial impact structures by applying it to the confirmed impact craters in the Earth Impact Database of the Planetary and Space Science Centre at the University of New Brunswick, Canada. The majority of these structures show distinct topographic signatures. Particularly prominent are medium-sized eroded craters. We provide representative elevation and X-band amplitude maps for a sample of the Earth Impact Database entries.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.028 | 0.015 |
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".