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View article: Building morphologies of the USA structures database; a gauntlet feature set
Building morphologies of the USA structures database; a gauntlet feature set Open
View article: At Risk Population Estimates for Belarus, Poland and Slovakia with Machine Learning
At Risk Population Estimates for Belarus, Poland and Slovakia with Machine Learning Open
High-resolution gridded population modeling is crucial for various applications, including disaster response planning, infectious disease spread modeling, climate change impact estimation, policy development, and more. Multiple gridded pop…
View article: SIGHT: Stacked Integration of Geospatial Hierarchical Typologies for Inferring Building Characteristics
SIGHT: Stacked Integration of Geospatial Hierarchical Typologies for Inferring Building Characteristics Open
Building characteristics are often absent in building stock datasets, particularly in regions most vulnerable to climate change and requiring effective disaster management strategies. Traditional machine learning approaches, while widely u…
View article: Inferring building height from footprint morphology data
Inferring building height from footprint morphology data Open
As cities continue to grow globally, characterizing the built environment is essential to understanding human populations, projecting energy usage, monitoring urban heat island impacts, preventing environmental degradation, and planning fo…