Frequent and severe wildfires have been observed lately on a global scale. Wildfires not only threaten lives and properties, but also pose negative environmental impacts that transcend national boundaries (e.g., greenhouse gas emission and global warming). Thus, early wildfire detection with timely feedback is much needed. We propose to use the emerging beyond fifth-generation (B5G) and sixth-generation (6G) satellite Internet of Things (IoT) communication technology to enable massive sensor deployment for wildfire detection. We propose wildfire and carbon emission models that take into account real environmental data including wind speed, soil wetness, and biomass, to simulate the fire spreading process and quantify the fire burning areas, carbon emissions, and economical benefits of the proposed system against the backdrop of recent California wildfires. We also conduct a satellite IoT feasibility check by analyzing the satellite link budget. Future research directions to further illustrate the promise of the proposed system are discussed.

中文翻译：

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用于早期野火检测的基于传感器的卫星物联网

最近在全球范围内观察到频繁和严重的野火。野火不仅威胁生命和财产，还会造成超越国界的负面环境影响（例如，温室气体排放和全球变暖）。因此，非常需要及时反馈的早期野火检测。我们建议使用新兴的超越第五代 (B5G) 和第六代 (6G) 卫星物联网 (IoT) 通信技术来实现大规模传感器部署以进行野火检测。我们提出了野火和碳排放模型，这些模型考虑了真实的环境数据，包括风速、土壤湿度和生物量，以模拟火灾蔓延过程并量化火灾燃烧面积、碳排放、在最近加利福尼亚野火的背景下，拟议系统的经济效益和经济效益。我们还通过分析卫星链路预算进行卫星物联网可行性检查。讨论了进一步说明所提出系统的前景的未来研究方向。