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A Low-Cost Sensor Network for Monitoring Peatland.
Mitchell, Hazel Louise; Cox, Simon J; Lewis, Hugh G.
Afiliação
  • Mitchell HL; Computational Engineering and Design Group, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
  • Cox SJ; Computational Engineering and Design Group, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
  • Lewis HG; Computational Engineering and Design Group, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
Sensors (Basel) ; 24(18)2024 Sep 18.
Article em En | MEDLINE | ID: mdl-39338763
ABSTRACT
Peatlands across the world are vital carbon stores. However, human activities have caused the degradation of many sites, increasing their greenhouse gas emissions and vulnerability to wildfires. Comprehensive monitoring of peatlands is essential for their protection, tracking degradation and restoration, but current techniques are limited by cost, poor reliability and low spatial or temporal resolution. This paper covers the research, development, deployment and performance of a resilient and modular multi-purpose wireless sensor network as an alternative means of monitoring peatlands. The sensor network consists of four sensor nodes and a gateway and measures temperature, humidity, soil moisture, carbon dioxide and methane. The sensor nodes transmit measured data over LoRaWAN to The Things Network every 30 min. To increase the maximum possible deployment duration, a novel datastring encoder was implemented which reduced the transmitted datastring length by 23%. This system was deployed in a New Forest (Hampshire, UK) peatland site for two months and collected more than 7500 measurements. This deployment demonstrated that low-cost sensor networks have the potential to improve the temporal and spatial resolution of peatland emission monitoring beyond what is achievable with traditional monitoring techniques.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article