Emissions from prescribed burns and wild fires have important impacts on air quality. The quantification and tracking of emissions from wildfires and prescribed burns has proven to be a difficult task, due to the high cost of comprehensive monitoring. Sensors being developed for personal air pollution exposure assessment could provide a low-cost tool to develop a fire emissions monitoring network. This proposal outlines the development of a stationary PM2.5 sensor based on an existing low-cost personal sampler. The proposed work involves optimizing the sensor design for fire emissions sampling and demonstrating the utility of a low-cost PM2.5 sensor network in the field.