Mapping organic layer thickness and fuel load of the boreal forest in Alberta, Canada

•Maps of organic layer thickness and fuel load were developed using machine learning.•Tree species was the most important variable in the final random forest model.•Error in our final models was close to the natural variability we expected to find.•The resultant maps will help improve fuel consumption models.