Water quality geoportal

Geoportal for monitoring the quality of inland waters using satellite data

Objective

Water monitoring

The project aims to create an innovative, scalable geoportal enabling remote, near-real-time monitoring of inland water quality in Poland using Sentinel-2 satellite imagery. The project aims to reduce the costs and logistical barriers of traditional monitoring and increase the availability of environmental data for scientists and the public.

Description

The project utilizes multispectral data from the Copernicus Sentinel-2 mission to assess inland water quality across Poland. Data is automatically retrieved from the CREODIAS platform and processed in a cloud environment using Python and open-source libraries (e.g., GDAL, Rasterio).

As part of the processing pipeline, key water quality parameters are calculated, including:

  • Chlorophyll-a concentration
  • Cyanobacteria presence (Blue-green algae detection)
  • Turbidity and Water Color
  • CDOM (Chromophoric Dissolved Organic Matter) and DOC
  • NDCI (Normalized Difference Chlorophyll Index)

The analysis results are stored in the cloud (Amazon S3) and described with metadata in a PostgreSQL database. Data is then shared via dynamic map services (WMS) using MapServer and Mapbender. The Geoportal allows for intuitive visualization of water quality changes over time.

Impact

This tool addresses critical environmental issues such as eutrophication, water pollution, and limited access to monitoring data in remote areas. By providing a public analytical tool, the project increases environmental awareness, supports water resource management, and enables early detection of ecological threats. Future development plans include the integration of in-situ data and Machine Learning algorithms to further enhance analytical precision and spatial resolution.

Platform Features

🛰️ Monitoring Module

Automated processing of Sentinel-2 imagery for real-time detection of cyanobacteria and chlorophyll-a levels

📊 Historical Module

Archive of spatio-temporal water quality data for trend analysis and long-term environmental assessment

The project utilizes optical and radar (SAR) satellite data, road network analysis, and interactive map visualization. The project's goal is to create a scalable prototype system that can support emergency services and crisis management, contributing to improved rescue efficiency and public safety.

Geoinformatics Water Quality Geoportal Environmental Monitoring Geospatial Analysis

Project Team

Łukasz Firek

Project Lead

Klaudia Kościuk

Piotr Krajewski

Weronika Jopek

Emilia Brandys

Maria Gąsiorowska