Mismatch of band sequences between an image and header file: a potential error in SPOT L1A products
Bibliographic record
Abstract
When preprocessing a System Pour l'Observation de la Terre 4 (SPOT-4) high resolution visual and infrared 2 (HRVIR2) image, we found that the same image in different formats produced inconsistent results. We investigated the source of this error using two different SPOT image formats: Centre d'Archivage et de Prétraitement (CAP) and digital image map (DIMAP). When translating digital numbers (DNs) to radiance, the radiance values of the near-infrared (NIR) and red bands in the CAP format were different from those in the DIMAP format. We determined the cause of this inconsistency to be a mismatch between the band sequences and absolute radiometric calibration gains. Therefore, it is imperative that users always confirm band sequences before applying any calibration coefficients when using SPOT with level 1A (L1A) products.
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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 | 0.000 | 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".