Design description and field testing of the SHOALS-1000T airborne bathymeter
Bibliographic record
Abstract
The SHOALS-1000T is the first generation of coastal mapping systems which incorporates both airborne lidar bathymetric (ALB) and airborne topographic subsystems. Its predecessor, the SHOALS (Scanning Hydrographic Operational Airborne Lidar Survey) system went operational in 1994 and was retired in 2003 after a history of successful worldwide surveys. The SHOALS-1000T has 2.5 times the data collection rate of the previous SHOALS system and yet is about one-third the size and consumes about half the power. A description of the system design will be given, along with a summary of extensive field testing carried out in Florida in August of 2003. It will be shown that despite the reduction in size and power requirements, the basic system performance matched the previous system very well. The increased collection rate also increases other capabilities such as target detection. The addition of a digital camera has enhanced the SHOALS-1000T system as a premier coastline mapping tool.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".