Affiliation:
1. Oak Ridge National Laboratory
2. Oak Ridge National Laboratory and North Carolina State University
Abstract
Explosion of spatial data from satellite to citizen sensors has posed the critical challenge of Big Spatial Data integration, analysis, and visualization. This article focuses on research and development activities at Oak Ridge National Laboratory (ORNL) that are addressing end-user applications utilizing high performance computing based geospatial science and technology solutions to optimize the analysis, modeling, and multi-megapixel scale visualization of the geospatial data. Specifically we highlight recent developments and successes in the areas of high resolution settlement mapping, transportation and mobility analysis, and effective monitoring of biomass for energy and food security.
Publisher
Association for Computing Machinery (ACM)
Cited by
5 articles.
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1. geoEdge;Proceedings of the 8th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data;2019-11-05
2. Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit;2019 IEEE/ACM Third Workshop on Deep Learning on Supercomputers (DLS);2019-11
3. Study on the Development of Geo-Spatial Big Data Service System based on 7V in Korea;KSCE Journal of Civil Engineering;2018-11-30
4. Cyber-Infrastructure for Data-Intensive Geospatial Computing;Earth Observation Open Science and Innovation;2018
5. Big data as a service from an urban information system;Proceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data - BigSpatial '16;2016