Applications of high-resolution space-borne SAR in mining disaster monitoring
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
SAR(synthetic aperture radar) has more advantages of day/night capabilities,all weather capabilities,and wind/clouds/rain/snow/vegetation penetration capabilities and so on.It is the most important advance of space remote sensing and earth observation technology in recent 20 years.In the 21st century,a series of the high-resolution space-borne SAR successful operation symbolize the radar remote sensing and earth observation going into a new era.In this paper,the superiorities of the high-resolution SAR data and the application bottlenecks of the middle or low-resolution SAR data due to low-resolution are summarized.An overview of the current high-resolution sensors feature of SAR satellites in orbit,for example COSMO-Sky Med satellites of Italian,the Radarsat-2 satellite of Canada and the Terra SAR-X satellite of German,is described.The studies in the fields of geological disasters deformation monitoring by using high-resolution SAR backscatter information and phase information at home and abroad are referred,especially geological disasters monitoring in mining areas.Finally,a prospect of high-resolution SAR technology applications of mining subsidence and geological disasters monitoring is expected.
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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 | 0.000 |
| 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 it