Conceptio › Archive › arXiv (All)
arXiv (All) open access

Quantifying Uncertainty Bounds in Spectral Shallow Water Bathymetry: The Profile Likelihood Framework for Semi-Analytical Models

Ghannami, Mohamed Ali et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
applications
Accurate bathymetric mapping in shallow waters is critical for coastal monitoring, navigation safety, and environmental conservation. While semi-analytical (SA) models have proven effective for estimating water column depth (WCD) from optical remote sensing data, quantifying the associated uncertain
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1401524
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive