Summer School 2023 Teams

Using Google Earth Engine, this group mapped and analyzed  the changing extent of the wildland-urban interface from 2011-present across the continental US and characterized risk and socioeconomic factors using NASA SEDAC’s Social Vulnerability Index and LANDFIRE’s Wildfire Risk to Communities data to evaluate areas at greatest risk to wildfire.

With a grid-resolving economic model (SIMPLE-G), this group simulated how heat stress affects labor productivity in the agricultural sector and generates cascading impacts on farming for the continental US at fine spatial scales.

 

This group analyzed the accuracy and feasibility of different AI/ML and remote sensing based methods for improving the 3D representation of rivers across large-scales which is critical for accurate modeling of hydrological processes in river systems.

 

Over the last decade, the Great Salt Lake has experienced a significant loss of water due to a combination of climate and anthropogenic changes, and this group evaluated the effectiveness of the National Water Model’s retrospective simulations in capturing changes in inflows to this terminal lake. 

 

This group focused on big data processing, network modeling, and geovisualization with R. Using circos maps and community detection algorithms, this group analyzed changes in global trade dynamics due to natural and social disturbances, contributing to sustainability fields.

 

New foundation GeoAI models, recently released by NASA and IBM, were the focus of this group as they imported these into I-GUIDE’s platform and managed to fine-tune a model with a novel application for estimating built-up areas.

 

 

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