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Observing Long-Term Annual Land Surface Phenology at Medium Spatial Resolution

Mapping a Dynamic Planet

green vineyard being inspected for pests

Apr 20, 2022

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.
Aerial of forests in Great Smoky Mountains - Center for Geospatial Analytics at NC State University

Mar 3, 2022

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.
Map of the United States showing predicted average flood damage risk by state or district - Center for Geospatial Analytics at NC State University

Feb 22, 2022

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.
Raja Das stands next to his poster - Observing Landslide Events from Multi-Satellite Sensors - Center for Geospatial Analytics at NC State University

Feb 10, 2022

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.
Izzi Hinks presents at AGU - Efficiently Monitoring Small Farms From Space - Center for Geospatial Analytics at NC State University

Jan 20, 2022

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.
Water in a Tunnel - GIS Service - Learning Solutions for Utility Management, Community Health, Building Resilience and More - Center for Geospatial Analytics at NC State University

Dec 14, 2021

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.
NC State University doctoral researcher Will Reckling prepares to launch a drone on Roan Mountain, NC, to map the area for endangered high-elevation plants - Keeping Track of Rare Mountaintop Plants with Drones - Center for Geospatial Analytics at NC State University

Nov 5, 2021

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.
Ian McGregor - Seeing the Earth for the Forests - Center for Geospatial Analytics at NC State University

Sep 21, 2021

Seeing the Earth for the Forests

Geospatial Analytics Ph.D. student Ian McGregor is using satellite imagery and time series modeling to help conservation agencies detect illegal logging in near real-time in protected forests. Find out more in his guest post on the NC Space Grant news blog.
Elyssa Collins and Georgina Sanchez - Mapping the Future: Climate Change and Flooding in Coastal North Carolina - Center for Geospatial Analytics at NC State University

Jun 25, 2021

Mapping the Future: Climate Change and Flooding in Coastal North Carolina

Geospatial Analytics Ph.D. student Elyssa Collins is leading cutting-edge research to better assess flood risk. Learn how she and Research Associate Georgina Sanchez are developing new models to simulate flooding probabilities, now and into the future.
Land Surface Map - Observing Long-Term Annual Land Surface Phenology at Medium Spatial Resolution - Center for Geospatial Analytics at NC State University

Jun 7, 2021

Observing Long-Term Annual Land Surface Phenology at Medium Spatial Resolution

Geospatial Analytics Ph.D. student Xiaojie Gao has developed a new approach to track landscape-scale changes in plant life cycles using Bayesian methods and 30-m-resolution Landsat imagery.