Redefining Uncertainty: A Complete Bayesian Workflow for Ocean Color Remote Sensing
Traditional satellite ocean color algorithms for chlorophyll-a and inherent optical property retrieval rely on deterministic regression models that typically produce single-point predictions without explicit uncertainty quantification. The absence of
Authors
- Erdem M. Karaköylü (ORCID: https://orcid.org/0000-0002-6156-1720)
Publication Details
- Published
- 2025-09-15
- DOI
- https://doi.org/10.22541/essoar.175795203.37768605/v1
- Primary Topic
- Remote-Sensing Image Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00