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Cloud Native Data Processing and Visualization Techniques for Earth Science Data

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posted on 2019-12-20, 13:36 authored by Helen Conover, Ajinkya Kulkarni, Geoffrey Stano, Sara Graves,, Manil Maskey

The integration of cloud-native technologies has the potential to greatly alter how data are archived, analyzed, and cross-referenced with other data sets. This is due, in part to the expandability of cloud storage, co-location of data and analysis code, as well as efforts to create unified standards across multiple organizations storing data in the cloud. The Information Technology and Systems Center (ITSC) at the University of Alabama in Huntsville (UAH) has developed a cloud native data processing, cataloging, and visualization framework that takes advantage of advancements in cloud computing. The VISAGE (Visualization for Integrated Satellite, Airborne and Ground-based data Exploration) project at UAH/ITSC is working to provide three-dimensional visualization and basic analytics capabilities for a variety of diverse datasets in an interactive web based user interface. In order to better cope with large data volumes, and to align with current NASA data management advances, VISAGE is built on cloud-native technologies. This poster was presented in January 2020 at the Earth Science Information Partners (ESIP) Summer Meeting held in Bethesda, MD.