FreeDSM and the Gaia4Sustaniability project: a light pollution meter based on IoT technologies
Mario Casado Diez (on behalf of the Gaia4Sustainability team)
TL;DR
This paper presents FreeDSM, an affordable IoT-based photometer for continuous light pollution monitoring, integrating Gaia satellite data for accurate real-time environmental assessments within the Gaia4Sustainability project.
Contribution
It introduces FreeDSM, a novel open-source IoT device that combines sensor data with Gaia satellite information for precise light pollution measurement.
Findings
FreeDSM provides real-time light pollution data.
The system is low-cost and scalable.
Integration with Gaia data improves accuracy.
Abstract
Light pollution is a growing environmental issue that affects astronomy, ecosystems, human health. To address this, we introduce the Free Dark Sky Meter (FreeDSM), an affordable IoT-based photometer designed for continuous light pollution monitoring. FreeDSM uses an ESP32 microcontroller with integrated sensors for light, temperature, and humidity, and operates on an open-source platform. Data from multiple devices are centralized and processed using the Gambons model, which leverages Gaia satellite data for accurate real-time assessments of natural light levels. This project is part of the Gaia4Sustainability initiative.
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