Burn Pile Emission Analytics (B-PEAs) is a research project assessing the efficacy of mobile light detection and ranging (LiDAR) as a tool for obtaining burn pile emissions. The goal of B-PEAs is to create an open-source platform for land managers, researchers, property owners, and other interested parties to better understand the air quality impact of different burn piles. 

To achieve the goal of better understanding pile burn air quality impacts via mobile LiDAR, data for over 200 piles was collected in 2025. Along with the LiDAR scans, other variables collected in the field include species composition, packing ratio, and how dirty the pile is. All of these variables are integral to determine how clean the combustion process of pile burn is, which is the key factor of particulate matter (PM, PM 2.5, and PM 10) emissions. 

This work integrates research from Colin Hardy (1996)[1], the Washington Department of Natural Resources[2], and CONSUME 3.0[3]. These are existing platforms for analyzing burn pile emissions.