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Machine learning and satellite imagery could help protect the world’s most important crops

Spotlight

Uchenna Osia - Uchenna Osia Shares Insights from Her Academic Journey - Geospatial Analytics at NC State University

Nov 6, 2025

Uchenna Osia Shares Insights from Her Academic Journey

Osia is a Ph.D. candidate in Geospatial Analytics. She is a National Science Foundation Graduate Research Program Fellow and a GEM Fellow. She has also participated in the Yale University Environmental Fellows Program and received the U.S. Geospatial Intelligence Foundation Stu Shea Endowed Scholarship.
Gwen Kirschke smiles crouched on a hill of flowers, with a forest and mountain in the background. - Pollinator Research Takes to the Skies with NASA Grant - Geospatial Analytics at NC State University

Sep 29, 2025

Pollinator Research Takes to the Skies with NASA Grant

As a North Carolina Space Grant Graduate Research Fellow, Geospatial Analytics Ph.D. student Gwen Kirschke is shooting for the stars — but not in the way you might think.
Group picture of new Ph.D. students smiling. - Meet Our Newest Ph.D. Students - Geospatial Analytics at NC State University

Sep 2, 2025

Meet Our Newest Ph.D. Students

The Center for Geospatial Analytics welcomes its seventh cohort of Geospatial Analytics Ph.D. students!
Presenter Presents GRASS Modules at the summit in front of a seated audience. - GRASS Developer Summit 2025: Advancing Open Geospatial Science at NC State - Geospatial Analytics at NC State University

Jul 2, 2025

GRASS Developer Summit 2025: Advancing Open Geospatial Science at NC State

The Center for Geospatial Analytics hosted the GRASS Developer Summit 2025 this May, welcoming more than 30 contributors from around the world.
A silhouette of a person inside of a dark, circular room surrounded by projections of students' research posters. - Center for Geospatial Analytics Students Tackle Real-World Problems Across the Southeast - Geospatial Analytics at NC State University

May 14, 2025

Center for Geospatial Analytics Students Tackle Real-World Problems Across the Southeast

Students in the Master of Geospatial Information Science and Technology (MGIST) program are showing how maps and data can help solve real problems in our communities.
Deja Perkins - Center for Geospatial Analytics at NC State University

Apr 23, 2025

Deja Perkins Named Young Conservationist of the Year

Deja Perkins, a Ph.D. candidate in Geospatial Analytics, has been named Young Conservationist of the Year by the North Carolina Wildlife Federation.
Students and faculty work together on laptops and analyzing 3D Landscape models. - Ph.D. Student Brings Tangible Landscape to the Netherlands - Geospatial Analytics at NC State University

Apr 15, 2025

Ph.D. Student Brings Tangible Landscape to the Netherlands

Geospatial Analytics student Caitlin Haedrich traveled to Breda University of Applied Sciences as a guest researcher to install and demonstrate usage of this innovative, open-source tool.
Attendees sit around tables chatting and eating dinner. - Celebrating Our Community: Sixth Annual CGA Awards - Geospatial Analytics at NC State University

Apr 11, 2025

Celebrating Our Community: Sixth Annual CGA Awards

On April 8, the Center for Geospatial Analytics celebrated its sixth awards ceremony, honoring achievements by our exceptional students, faculty and staff.
Traffic sign partially submerged in floodwaters. - How We Classify Flood Risk May Give Developers, Home Buyers a False Sense of Security - Geospatial Analytics at NC State University

Jan 7, 2025

How We Classify Flood Risk May Give Developers, Home Buyers a False Sense of Security

Common methods of communicating flood risk may create a false sense of security, leading to increased development in areas threatened by flooding.
A person walking through a rice field. - Machine learning and satellite imagery could help protect the world's most important crops - Geospatial Analytics at NC State University

Dec 23, 2024

Machine learning and satellite imagery could help protect the world’s most important crops

A new study led by Geospatial Analytics Ph.D. student Varun Tiwari combines satellite imagery with machine learning technology to help model rice crop productivity faster and more accurately.