Sentinel-2 Water Quality Processing Toolkit

Contents:

Overview

A comprehensive, automated toolkit for processing Sentinel-2 satellite imagery to extract water quality parameters including Chlorophyll-a (CHL), Total Suspended Matter (TSM), and Colored Dissolved Organic Matter (CDOM).

Features

🎯 Study-Area Agnostic - Update WKT geometry once, all SNAP XML files update automatically
🗺️ Intelligent Multi-tile Processing - Automatically detects single vs multi-tile coverage:
- Single-tile: Skips mosaic, saves ~30-50% disk space
- Multi-tile: Automatically creates mosaics for seamless coverage
⚙️ Automated Data Download from Copernicus Data Space Ecosystem
🔄 Complete Processing Pipeline using SNAP and C2RCC algorithms
💧 Water Quality Parameter Extraction (CHL, TSM, CDOM)
📊 Automated Visualization with publication-ready plots
📁 Professional Directory Structure with organized outputs
🛡️ Comprehensive Error Handling and logging
⚡ Easy Configuration via YAML files (no XML editing needed!)

Scientific Foundation

This toolkit processes Level-1C Sentinel-2 satellite imagery to extract essential water quality indicators:

🔬 Chlorophyll-a (Chl-a): Phytoplankton biomass & primary productivity
🌊 Total Suspended Matter (TSM): Water turbidity & particulate load
🟫 Colored Dissolved Organic Matter (CDOM): Dissolved organic compounds

Using the state-of-the-art C2RCC (Case-2 Regional Coast Colour) atmospheric correction algorithm, specifically designed for optically complex coastal and inland waters. The system automatically handles:

Atmospheric correction
Bio-optical parameter inversion
Quality control and validation
Single/multi-tile processing with automatic mosaic generation

New to water quality remote sensing? Start with Scientific Background & Theory to understand the science behind the toolkit.

Quick Links

Author

Md Rony Golder
📧 mdrony.golder@uwa.edu.au
🏛️ University of Western Australia