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Full-Text Articles in Geographic Information Sciences
Filling In The Gaps: Applications Of Deep Learning, Satellite Imagery, And High Performance Computing For The Estimation And Distribution Of Geospatial Data, Seth Goodman
Dissertations, Theses, and Masters Projects
Many regions around the world suffer from a lack of authoritatively-collected data on factors critical to understanding human well-being. This challenges our ability to understand the progress society is making towards reducing poverty, improving lifespans, or otherwise improving livelihoods. A growing body of research is exploring how deep learning algorithms can be used to produce novel estimates of sparse development data, and how access to such data can impact development efforts. This dissertation contributes to this literature in three parts. First, using Landsat 8 satellite imagery and data from the Armed Conflict Location & Event Data Project, convolutional neural networks …
Development Of A Large-Scale Storm Surge And High-Resolution Sub-Grid Inundation Model For Coastal Flooding Applications: A Case Study During Hurricane Sandy, Jon Derek Loftis
Development Of A Large-Scale Storm Surge And High-Resolution Sub-Grid Inundation Model For Coastal Flooding Applications: A Case Study During Hurricane Sandy, Jon Derek Loftis
Dissertations, Theses, and Masters Projects
Coastal inundation initiated via storm surge by hurricanes and nor'easters along the U.S. East Coast is a substantial threat to residential properties, community infrastructure, and human life. During and after the storm, compounding with heavy precipitation and upland drainage, inundation can be caused by the combination of storm surge and river-induced inland flooding in various locations throughout the coastal plain. Thus, coastal inundation can be expanded from the open coast upstream into the tributaries of the New York Bay including the Hudson and East River systems. Given the cross-disciplinary nature of the dynamics (encompassing hydraulics, oceanography, and hydrology), and the …