Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Entire DC Network
Forest Fire Effects On Landscape Snow Albedo Recovery And Decay, Max Gersh, Kelly E. Gleason, Anton Surunis
Forest Fire Effects On Landscape Snow Albedo Recovery And Decay, Max Gersh, Kelly E. Gleason, Anton Surunis
Environmental Science and Management Faculty Publications and Presentations
Surface snow albedo (SSA) darkens immediately following a forest fire, while landscape snow albedo (LSA) brightens as more of the snow-covered surface becomes visible under the charred canopy. The duration and variability of the post-fire snow albedo recovery process remain unknown beyond a few years following the fire. We evaluated the temporal variability of post-fire snow albedo recovery relative to burn severity across a chronosequence of eight burned forests burned from 2000 to 2019, using pre- and post-fire daily, seasonal, and annual landscape snow albedo data derived from the Moderate Resolution Imaging Spectroradiometer (MOD10A1). Post-fire annual LSA increased by 21% …
Developing A Representative Snow-Monitoring Network In A Forested Mountain Watershed, Kelly E. Gleason, Anne Nolin, Travis R. Roth
Developing A Representative Snow-Monitoring Network In A Forested Mountain Watershed, Kelly E. Gleason, Anne Nolin, Travis R. Roth
Environmental Science and Management Faculty Publications and Presentations
A challenge in establishing new ground-based stations for monitoring snowpack accumulation and ablation is to locate the sites in areas that represent the key processes affecting snow accumulation and ablation. This is especially challenging in forested montane watersheds where the combined effects of terrain, climate, and land cover affect seasonal snowpack. We present a coupled modeling approach used to objectively identify representative snow-monitoring locations in a forested watershed in the western Oregon Cascades mountain range. We used a binary regression tree (BRT) non-parametric statistical model to classify peak snow water equivalent (SWE) based on physiographic landscape characteristics in an average …