Analysis of the diffuse attenuation coefficients for radiance and the implications for retrieval of the spectral signature of submerged tropical corals
Bibliographic record
Abstract
This is the International Year of the Reef (1997), yet the basis for reef mapping is existing Admiralty charts and air photos. The spectral information of airborne or satellite digital imagery is needed to retrieve information regarding stress on corals that may be caused by climate variability or change, and/or pollutant stress. The challenge is to adjust the digital imagery for the optical attenuation through water to depth with corrections that will vary with the density of intervening sediment or plankton. In this paper the author reports on a study in Fiji in which the vertical profiles of the diffuse attenuation coefficient were measured for the downwelling irradiance and upwelling radiance in the SeaWiFS channels. Over forty profiles have been obtained over coral reefs, debris surfaces, and sand surfaces, as well as 'blue water' with depths far beyond the range of the 100 metre cable for the dropsonde radiometer. The author derives an algorithm for determination of the bottom reflected radiance independent of image characteristics.
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 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 | 0.000 | 0.001 |
| 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 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".