Center for Geospatial Analytics News

Published on January 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.

Published on December 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.

Published on December 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.

Published on November 1, 2024

Satellite Imagery May Help Protect Coastal Forests from Climate Change

Sea-level rise caused by climate change poses a serious and often unpredictable threat to coastal forests, and new tools are needed to help mitigate damage and allocate conservation resources.

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

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

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

Satellite Imagery May Help Protect Coastal Forests from Climate Change

Students

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GRASS Lightning Talks & Reception

Geospatial Forum: Dr. Matt Dannenberg – University of Iowa

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