satellite_derived_bathymetry_for_qgis
Plugin ID: 4223
A comprehensive and automated toolkit for Satellite-Derived Bathymetry (SDB) using machine learning, featuring integrated ICESat-2 data retrieval.
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<h3>SDB Master Workflow</h3>
<p>The SDB Master Workflow is a powerful QGIS tool that automates Satellite-Derived Bathymetry (SDB) processing. It combines preprocessing, algorithm testing, objective ranking of models, and automated reporting. The tool is designed for scientific research and hydrography, following IHO recommendations.</p>
<p><b>New Feature: ICESat-2 Integration</b><br>
The toolkit now includes a dedicated module to download and filter ICESat-2 photon data (ATL03/ATL24) via the SlideRule API. This allows users to easily obtain high-precision bathymetry control points for model training and validation.</p>
<p><b>Workflow Stages:</b><br>
1. <b>Data Retrieval:</b> Automated download of ICESat-2 bathymetry (SlideRule).<br>
2. <b>Pre-processing:</b> Smart water masking (MNDWI/NDWI) and morphological cleaning.<br>
3. <b>Model Training:</b> Algorithm comparison with hyperparameter tuning (Bayesian Optimization).<br>
4. <b>Refinement:</b> Optional median filtering to reduce noise.<br>
5. <b>Evaluation:</b> Statistical scoring (70% R², 30% RMSE) and reporting.</p>
<p><b>References:</b><br>
- IHO Publication B-13: Cookbook for Satellite-Derived Bathymetry (<a href="https://iho.int/">IHO website</a>)<br>
- Stumpf et al. (2003). Band Ratio Model in Limnology and Oceanography.<br>
- SlideRule Earth: Processing of ICESat-2 data (<a href="https://slideruleearth.io/">slideruleearth.io</a>)</p>
<p><b>Acknowledgements:</b><br>
Development leveraged AI-assisted tools: Google Gemini Pro & OpenAI ChatGPT for workflow optimization and SlideRule integration.</p>
