Orthophoto High Compression 0.25m resolution Mosaic - 2012 - Calvert Island - British Columbia - Canada
Bibliographic record
Abstract
This lightweight mosaic of 2012 orthophotos covering the entire Calvert Island at 0.25m resolution was created from 589 individual orthophotos covering the entire extent of Calvert Island. JPEG200 compression has been utilized to create this mosaic dataset. This mosaic was created with the intent to provide Hakai researchers, staff and collaborators with a "lightweight" single imagery file which provides coverage for the entire Calvert Island at very high resolution. By employing the JPEG2000 compression, the mosaic has been reduced to >1/4 of the total size that would be obtained by mosaicking all the individual orthophotos in their native TIFF format. While it is expected that such a high compression mechanism would have an impact on the quality of the imagery, the end result in this mosaic is hardly distinguishable visibly from the original air photos. The air photos / orthophotos were acquired by Hakai through Terra Remote Sensing - CEDD Lab UVic - Hyperspectral Lab UVic. These orthophotos have the highest available spatial resolution that covers the entire Calvert / Hecate area. Major efforts were used to process individual orthophotos to have a seamless look by the CEDD Lab UVic.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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; both teacher heads agree on what is shown here.
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".