Bhaduri, Budhendra Lunga, Dalton Yang, Hsiu-Han McKee, Jacob Laverdiere, Melanie Kurte, Kuldeep Sanyal, Jibonananda High Performance Geocomputation for Assessing Human Dynamics at Planet Scale. GeoComputation 2019 <div>Settlements are key indicators of human presence on the landscape. Large scale mapping of human settlements and their morphology from very high-resolution satellite images is a critical step towards developing an interpretative understanding of population distribution and the sociocultural attributes of the built environment they live in. Convolutional neural network (CNN) based Deep Learning experiments indicates that such computations can be scaled to some of the largest high-performance computing (HPC) architectures. While early results are encouraging for developing settlement and corresponding population maps</div><div>at unprecedented speed and spatial resolutions, characterizing human dynamics at planet scale with high temporal resolution will require the community to develop novel geocomputational infrastructures and ecosystems.</div> Population data;human settlements;satellite imagery;HPC;Geospatial Information Systems 2019-12-01
    https://auckland.figshare.com/articles/conference_contribution/High_Performance_Geocomputation_for_Assessing_Human_Dynamics_at_Planet_Scale/9870269
10.17608/k6.auckland.9870269.v2