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satellite_derived_bathymetry_for_qgis QGIS 4 compatibility
Not QGIS 4 ready Active Deprecated
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
A comprehensive and automated toolkit for Satellite-Derived Bathymetry (SDB) using machine learning, featuring integrated ICESat-2 data retrieval. This plugin is deprecated and no longer maintained. Please use "Bathymetrix-AI" instead
About
---- This Plugin is deprecated not supported anymore. you can try "Bathymetrix-AI".---- 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. New Feature: ICESat-2 Integration 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. Workflow Stages: 1-Data Retrieval: Automated download of ICESat-2 bathymetry (SlideRule). 2-Pre-processing: Smart water masking (MNDWI/NDWI) and morphological cleaning. 3-Model Training: Algorithm comparison with hyperparameter tuning (Bayesian Optimization). 4-Refinement: Optional median filtering to reduce noise. 5-Evaluation: Statistical scoring (70% R², 30% RMSE) and reporting. References: IHO Publication B-13: Cookbook for Satellite-Derived Bathymetry (IHO website). Stumpf et al. (2003): Band Ratio Model in Limnology and Oceanography. SlideRule Earth: Processing of ICESat-2 data (slideruleearth.io). Acknowledgements: Development leveraged AI-assisted tools: Google Gemini Pro & OpenAI ChatGPT for workflow optimization and SlideRule integration.
| Author | Mohamed Aly Nasef |
|---|---|
| Downloads | 2,114 |
| Latest version | 2.1 |
| Last updated | 2025-12-06 (313 days ago) |
| Min QGIS | 3.22.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Active |
| Categories | Remote sensing, Hydrology & water, AI & machine learning |
| Tags | remote sensing, machine learning, automation, satellite, bathymetry, coastal, sdb, hydrography, icesat-2, sliderule, lidar, randomforest |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.