Study: People Are Most Physically Active When Their Environments are Both Highly Walkable and Very Green
New research used wearable sensors and satellite data to identify how a person’s environment affects their level of daily exercise.
Leveraging GIS Know-How for Custom Problem-Solving
During the Spring 2022 semester, our graduating professional master’s students worked with industry, government and nonprofit partners to apply their knowledge and skills to pressing geospatial challenges.
New USDA-Funded Research Will Leverage Big Data and Machine Learning to Forecast Spread of Agricultural Pests
New research led by Center director Ross Meentemeyer and research scholar Chris Jones will address data gaps that have previously hindered the accuracy of, and rapid updates to, pest spread forecasts.
During Droughts, Thirstier Mountain Forests Could Mean Less Water Downstream
Research led by Geospatial Analytics Ph.D. student Katie McQuillan finds increased water use by upstream mountain forests could leave less water for other forests, cities and wildlife during drought.
Study: U.S. Flood Damage Risk Is Underestimated
A research team led by Geospatial Analytics Ph.D. student Elyssa Collins used artificial intelligence to predict where flood damage is likely to happen in the conterminous United States, suggesting that recent flood maps from the Federal Emergency Management Agency do not capture the full extent of flood risk.
Observing Landslide Events from Multi-Satellite Sensors
Geospatial Analytics Ph.D. student Raja Das is advancing the use of satellite imagery and machine learning to map the impacts of landslides and flooding, comparing the utility of different spatial resolutions and algorithms.
Efficiently Monitoring Small Farms from Space
Geospatial Analytics Ph.D. student Izzi Hinks developed an approach to optimally augment publicly available satellite imagery with high-resolution commercial data to track crop development on small farms.
GIS Service-Learning Solutions for Utility Management, Community Health, Building Resilience and More
During the Fall 2021 semester, our graduating professional master’s students worked with industry, government and nonprofit partners to apply their knowledge and skills to pressing geospatial challenges.
Postdoctoral Scholar Position for Quantifying Flood Dynamics with Machine Learning and Satellite Data Now Accepting Applications
The Geospatial Analysis for Environmental Change Lab at the Center for Geospatial Analytics is recruiting a postdoctoral research scholar. Applications are being accepted now and will be reviewed on a rolling basis.
Keeping Track of Rare Mountaintop Plants with Drones
Researchers from the Center for Geospatial Analytics have devised a method to more safely and efficiently monitor endangered high-elevation plants, by predicting their likely locations and then flying drones in high-probability areas to collect imagery.