EyeOnWater Raspberry Pi: a do-it-yourself maker sensor system project to measure and classify natural water colour based on the Forel–Ule scale

Rüssmeier, Nick; Stahl, Frederic; Becker, Felix

doi:https://doi.org/10.5194/jsss-14-203-2025

Articles | Volume 14, issue 2

https://doi.org/10.5194/jsss-14-203-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Sensors and Measurement Systems 2024

https://doi.org/10.5194/jsss-14-203-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 2

Regular research article

|

07 Oct 2025

Regular research article |

| 07 Oct 2025

EyeOnWater Raspberry Pi: a do-it-yourself maker sensor system project to measure and classify natural water colour based on the Forel–Ule scale

Nick Rüssmeier, Frederic Stahl, and Felix Becker

Data sets

Eye on Water RPI: a Do It Yourself maker sensor system project to measure and classify natural water colors based on Forel Ule Rüssmeier, Nick (Contact person) Becker, Felix (Project member) https://doi.org/10.5281/zenodo.13828687

Model code and software

Eye on Water RPI: a Do It Yourself maker sensor system project to measure and classify natural water colors based on Forel Ule Rüssmeier, Nick (Contact person) Becker, Felix (Project member) https://doi.org/10.5281/zenodo.13828687

Short summary

The paper outlines a do-it-yourself optical sensor system for measuring water colour that can be used in citizen science projects to engage laypersons in science. The automated optical sensor system uses a camera with a Raspberry Pi computer to determine water colour according to the Forel–Ule colour scale. The collected data can be shared to the EyeOnWater database and used to provide insight and knowledge for further research in the fields of limnology and oceanology.