  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.
