Daniel Adams Associate Research & Development Scientist / Geospatial Scientist Contact ADAMSDS@ORNL.GOV All Publications Chapter "GeoAI for Humanitarian Assistance" in Book "Handbook of Geospatial Artificial Intelligence" A segmented approach to modeling building height: Delineating high-rise and low-rise buildings for enhanced height estimation Machine Learning of Building Characteristics for Probabilistic and Uncertainty-Aware Population Estimates in Environmental Science TERRA-POPULUS V0.1: A PYTHON LIBRARY FOR LANDSCAN HIGH-DEFINITION POPULATION ANALYSIS AND MODELING... At Risk Population Estimates for Belarus, Poland and Slovakia with Machine Learning SIGHT: Stacked Integration of Geospatial Hierarchical Typologies for Inferring Building Characteristics... Detecting Important Drivers of Gridded Population Modeling With Machine Learning... Multivariate Testing of Sampling Techniques to Address Class Imbalance in Building Use Type Classification... 2023-2024 Technical Report: Updates to USA Structures Inferring building height from footprint morphology data A baseline structure inventory with critical attribution for the US and its territories Empirically Categorizing the Built Environment in Relation to Height Community size-spectra applied to recreational freshwater fisheries in Puerto Rican reservoirs Decoding Ethiopian Abodes: Towards Classifying Buildings by Occupancy Type Using Footprint Morphology USA Structures Phase 2 Technical Report Key Links Google Scholar ORCID LinkedIn Organizations National Security Sciences Directorate Geospatial Science and Human Security Division Human Dynamics Section Human Geography Group
