STAR MODIS Satellite Visible Data. Version 1.0
Bibliographic record
Abstract
The MODIS instrument operated on both the Terra and Aqua spacecraft during STAR. The viewing swath width was 2,330 km and viewed the entire surface of the Earth every one to two days. Its detectors measured 36 spectral bands between 0.405 and 14.385 µm, and it acquired data at three spatial resolutions -- 250m, 500m, and 1,000m. Along with all the data from other instruments on board the Terra spacecraft and Aqua Spacecraft, MODIS data were transferred to ground stations in White Sands, New Mexico, via the Tracking and Data Relay Satellite System (TDRSS). The data were then sent to the EOS Data and Operations System (EDOS) at the NASA Goddard Space Flight Center. The Level 1A, Level 1B, geolocation and cloud mask products and the Higher-level MODIS land and atmosphere products were produced by the MODIS Adaptive Processing System (MODAPS), and then were parceled out among three DAACs for distribution. MODIS Level 1 and atmosphere products are available through the NASA Low-Altitude Air Defense System (LAADS) web site. For further information see: https://ladsweb.modaps.eosdis.nasa.gov/ The MODIS Level 1B 1km earth-view (EV) product (visible satellite imagery) over southern Baffin Island were downloaded for the 2007 Autumn STAR IOP period.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.027 |
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".