Water Research Institute

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...

A high-resolution perspective on climate drivers of lake stratification and phototrophic community dynamics in Late Glacial Central Europe

Abstract. Predicting the trajectory of aquatic deoxygenation under global warming requires a mechanistic understanding of lacustrine responses to rapid climate shifts. We investigated how climate-driven changes in catchment vegetation and local iron-rich lithology regulated lake...