Harnessing the full potential of deep neural networks for image interpretation and analysis
The roles of data collection, storage, management, analysis, and consumption as factors that drive designs
Evaluating the Portuguese coast to determine its permeability to irregular entry via the sea
The future of the GEOINT workforce and our national strategic advantage relies on a pipeline of highly qualified STEM professionals
As St. Louis’ geospatial ecosystem looks to continued growth and further develops a talent pipeline to meet future needs, several strategies are being developed
The insurance and risk management sectors are playing a more prominent role in managing disaster risks, and GEOINT underpins much of the new innovation
Creative partnerships among academia, government, and industry could contribute greatly to addressing current challenges in GEOINT
Industry and government must develop technologies across a wide spectrum of needs
How professional events can address GEOINT’s generational shift and cross-generational career goals
The use of artificial intelligence in the teaching and learning of GEOINT and future applications of AI to improve education in this field