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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.10298 |
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| _version_ | 1866913502088658944 |
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| author | Diez, Mario Casado |
| author_facet | Diez, Mario Casado |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_10298 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | FreeDSM and the Gaia4Sustaniability project: a light pollution meter based on IoT technologies Diez, Mario Casado Instrumentation and Methods for Astrophysics 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. |
| title | FreeDSM and the Gaia4Sustaniability project: a light pollution meter based on IoT technologies |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2409.10298 |