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Identification of Deliberate Building Targeting During Ukraine War: Evidence from Donetsk Oblast

Ukraine

Identification of Deliberate Building Targeting During Ukraine War: Evidence from Donetsk Oblast

We develop and apply a process for identifying the deliberate targeting of building types during ongoing armed conflict by conflict actors. Results indicate that cultural, and secondarily medical, buildings are likely to have been deliberately targeted by combatants. Targeting, however, occurred only in cities where direct fighting (territorial contestation) between Russia and Ukraine was ongoing.

Tracking the Industrial Growth of Modern China with High-Resolution Panchromatic Imagery and Deep Learning

Machine Learning

Tracking the Industrial Growth of Modern China with High-Resolution Panchromatic Imagery and Deep Learning

This study investigates the effectiveness of state-of-the-art deep learning models trained on high-resolution single-band satellite images in estimating site-level industrial development over time in the People's Republic of China.

Predicting Terrorism in Europe with Remote Sensing, Machine Learning, and Spatial Statistics

Machine Learning

Predicting Terrorism in Europe with Remote Sensing, Machine Learning, and Spatial Statistics

This study defines and parses the differences between territorial / separatist terrorism versus non-territorial seeking terrorism from a spatial and geographic perspective. This spatial/geographic component of the research is foundational due to prior research often focusing on the motivations of terrorism rather than spatial and geographic perspectives.