10.6084/m9.figshare.11412996.v1
Helen Conover
Helen
Conover
Ajinkya Kulkarni
Ajinkya
Kulkarni
Geoffrey Stano
Geoffrey
Stano
Sara Graves, sgraves@uah.edu
sgraves@uah.edu
Sara Graves
Manil Maskey
Manil
Maskey
Cloud Native Data Processing and Visualization Techniques for Earth Science Data
ESIP
2019
cloud native computing
3D visualization
airborne field campaign
2020 ESIP Winter Meeting
Web Technologies (excl. Web Search)
Information Systems
2019-12-20 13:36:37
Poster
https://esip.figshare.com/articles/poster/Cloud_Native_Data_Processing_and_Visualization_Techniques_for_Earth_Science_Data/11412996
<p>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.</p>