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Geosciences and Environmental Change Science Center

Geosciences and Environmental Change Science Center (GECSC) researchers conduct multi-purpose geologic mapping and topical scientific studies to address issues concerning geologic, climatic, ecosystem, and land surface changes; human interactions with the environment; and physical, chemical, and biological characterization of the Earth's surface and upper crust. 

News

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Land cover matters: Trees as a solution to Denver’s Urban Air Temperature Challenges

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Wind turbine wakes can impact downwind vegetation

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Bird Mortality at Renewable Energy Facilities have Population-Level Effects

Publications

Identifying building locations in the wildland–urban interface before and after fires with convolutional neural networks

Background: Wildland–urban interface (WUI) maps identify areas with wildfire risk, but they are often outdated owing to the lack of building data. Convolutional neural networks (CNNs) can extract building locations from remote sensing data, but their accuracy in WUI areas is unknown. Additionally, CNNs are computationally intensive and technically complex, making them challenging for end-users, su

Recent history of glacial lake outburst floods, analysis of channel changes, and development of a two-dimensional flow and sediment transport model of the Snow River near Seward, Alaska

Snow Lake, a glacially dammed lake on the Snow Glacier near Seward, Alaska, drains rapidly every 14 months–3 years, causing flooding along the Snow River. Highway, railroad, and utility infrastructure on the lower Snow River floodplain is vulnerable to flood damage. Historical hydrology, geomorphology, and two-dimensional hydraulic and sediment transport modeling were used to assess the flood risk

An aridity threshold model of fire sizes and annual area burned in extensively forested ecoregions of the western USA

Wildfire occurrence varies among regions and through time due to the long-term impacts of climate on fuel structure and short-term impacts on fuel flammability. Identifying the climatic conditions that trigger extensive fire years at regional scales can enable development of area burned models that are both spatially and temporally robust, which is crucial for understanding the impacts of past and