aquasat: advancing remote sensing of inland water quality
Increasing accessibility to satellite-based water quality estimates so researchers can create better models and facilitate new data-driven approaches to monitoring and understanding critical water resources.
A Powerful Dataset for Satellite-Based Water Quality Monitoring
Reliable and reproducible satellite-based water quality estimates are essential for improving water management, supporting science, and empowering stakeholders.
The AquaSat dataset is the largest inland water quality matchup dataset ever assembled. It links over 600,000 in-situ water quality measurements to satellite imagery (like chlorophyll-a, turbidity, and clarity).
This clean, harmonized data supports large-scale training and validation of remote sensing models across North America and beyond.
radical tools for scalable water monitoring
This project aims to expand and enhance AquaSat by integrating more in-situ data, adding a quality-tiering system to improve data reliability, and incorporating additional satellites like Sentinel-2, MODIS-AQUA, and Sentinel-3.
These advancements, along with educational resources, will enable researchers and agencies to monitor water quality at unprecedented scales.