Environmental monitoring of landfill sites using multi-temporal remote sensing images
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this study, multi-temporal Landsat images obtained from the U.S. Geological Survey are used to monitor two landfill sites, the Trail Road landfill (Ottawa, Canada) and the Al-Jleeb landfill (Al-Farwanyah, Kuwait). The objectives are: 1) to study the land surface temperature (LST) of the two landfill sites; 2) investigate the relationship between the LST and landfill gas in the Trail Road landfill; and 3) detect suspicious dumping areas within the Al-Jleeb landfill. It was found that the LST of the landfill sites are always higher than the air temperature and the immediate surroundings. The correlation between the LST and the methane recorded in the Trail Road landfill is not obviously strong, and five suspicious locations were identified within the Al-Jleeb landfill by overlaying the highest LST contours. The study demonstrates the usefulness of remote sensing techniques that can provide supplementary information for landfill monitoring
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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 | 0.001 |
| 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 it