A Tool That Calculates The Sea-Surface Reflectance Factor In Customized Environments And Geometry
Bibliographic record
Abstract
The sea-surface reflectance factor (ρ) is critical in above-water measurements of remote sensing reflectance of water. A spectrally constant value of 0.028 for ρ is commonly used in ocean-color remote sensing with a viewing zenith angle of 40 degrees and a relative azimuth angle of 135 degrees. We evaluated the spectral dependence of ρ with varying wind speeds, solar zenith angles, and aerosol loading, and found that 0.028 for ρ should only be used when the wind speed is lower than 5 m/s and the solar zenith angle is larger than 10 degrees. The impact of aerosol loading on ρ can be significant when the above conditions are only met marginally. An open-source tool is provided for users to construct tabular values of ρ for customized environments and viewing geometry.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.019 |
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".