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Using Machine Learning to Map Floods

New Publications

A yellow shovel with a pile of snow. - Hourly Weather Data Reveals Climate Trends in U.S. - Geospatial Analytics at NC State University

Nov 17, 2025

Hourly Weather Data Reveals Climate Trends in U.S.

Over the past forty years, parts of the northeast have lost almost 1 1/2 weeks of temperatures below freezing, while portions of some states in the Gulf and Southwest have gained almost 1 1/2 weeks of temperatures that cause heat stress.
Satellite image of a hurricane. - Research Improves Accuracy of Climate Models – Particularly for Compound Extreme Events - Geospatial Analytics at NC State University

Jul 30, 2025

Research Improves Accuracy of Climate Models – Particularly for Compound Extreme Events

The advance should provide policymakers with improved climate projections that can be used to inform policy and planning decisions. Faculty Fellows Sankar Arumugam and Brian Reich are co-authors.
Sea urchins hidden among rocks and algae underwater. - Huge sea-urchin populations are overwhelming Hawaii's coral reefs - Geospatial Analytics at NC State University

May 28, 2025

Huge sea-urchin populations are overwhelming Hawaii’s coral reefs

Geospatial Analytics Ph.D. student Kelly van Woesik is first author of a new study that connects overfishing, water pollution and climate change to the change in sea-urchin populations.

Jan 21, 2025

Study examines how climate change has shaped coastal forests over the last decade

A new study finds that climate change may have a range of contrasting effects on coastal forests, both slowing and enabling growth in areas where sea levels are rising and storms are more common.

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.

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.

Dec 16, 2024

How “thirsty” trees may make forests more vulnerable to climate change

A new study led by Geospatial Analytics Ph.D. alum Katie McQuillan suggests that increased maple populations in western NC may leave forests more vulnerable to extreme weather conditions like flooding and drought.
Ant on plant - Study Finds Mutualistic Relationships Changing With Climate - Geospatial Analytics at NC State University

Oct 17, 2024

Study Finds Mutualistic Relationships Changing With Climate

Research led by Center Faculty Fellow Elsa Youngsteadt finds that climate change could be destabilizing the mutualistic relationships between insects and plants.
Hunt library and view of the sky - Atmospheric Methane Increase Due Primarily to Wetland Flooding - Geospatial Analytics at NC State University

Sep 25, 2024

Atmospheric Methane Increase During Pandemic Due Primarily to Wetland Flooding

Research led by Center Faculty Fellow Zhen Qu shows that flooded wetlands, not decreased pollution, were key drivers of atmospheric methane increases during the pandemic.
Flooded Philadelphia street - Using Machine Learning to Map Floods - Geospatial Analytics at NC State University

Aug 21, 2024

Using Machine Learning to Map Floods

A Ph.D. student at the Center for Geospatial Analytics trained a machine-learning model to create maps that could help identify potentially flood-prone areas in urban settings.