Rocky Mountain Research (United States)

Biomass inventory optimization for willow-based pellet production integrating seasonal supply and stochastic demand

Biomass supply chains face both internal challenges (low energy density, bulkiness, seasonality) and external challenges (market uncertainty). We developed a two-stage stochastic mixed-integer linear programming (MILP) model that configures an (s, S) inventory control policy for...

Investigation of influence of fuel moisture content on surface fire transition to crown fire using physics-based modelling

Background The transition from surface fire to crown fire depends on various factors, including atmospheric conditions and forest characteristics. Aims In this study, we investigate the role of fuel moisture content in the transition from surface fire to crown fire in a pine fore...

An interpretable remote sensing–machine learning framework for wildfire soil burn severity prediction in the northwestern United States

Background Although soil burn severity (SBS) is traditionally mapped post-fire, pre-fire predictive approaches remain limited despite their potential to identify areas at risk of soil degradation, runoff and erosion. Aim To develop a large-scale model for predicting post-fire SBS...