TopoLens: Building a CyberGIS community data service for enhancing the usability of high-resolution national topographic datasets

Hao Hu, Xingchen Hong, Jeff Terstriep, Yan Y. Liu, Michael P. Finn, Johnathan Rush, Jeffrey Wendel, Shaowen Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Geospatial data, often embedded with geographic references, are important to many application and science domains, and represent a major type of big data. The increased volume and diversity of geospatial data have caused serious usability issues for researchers in various scientific domains, which call for innovative cyberGIS solutions. To address these issues, this paper describes a cyberGIS community data service framework to facilitate geospatial big data access, processing, and sharing based on a hybrid supercomputer architecture. Through the collaboration between the CyberGIS Center at the University of Illinois at Urbana-Champaign (UIUC) and the U.S. Geological Survey (USGS), a community data service for accessing, customizing, and sharing digital elevation model (DEM) and its derived datasets from the 10-meter national elevation dataset, namely TopoLens, is created to demonstrate the workflow integration of geospatial big data sources, computation, analysis needed for customizing the original dataset for end user needs, and a friendly online user environment. TopoLens provides online access to precomputed and on-demand computed high-resolution elevation data by exploiting the ROGER supercomputer. The usability of this prototype service has been acknowledged in community evaluation.

Original languageEnglish (US)
Title of host publicationProceedings of XSEDE 2016
Subtitle of host publicationDiversity, Big Data, and Science at Scale
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450347556
DOIs
StatePublished - Jul 17 2016
EventConference on Diversity, Big Data, and Science at Scale, XSEDE 2016 - Miami, United States
Duration: Jul 17 2016Jul 21 2016

Publication series

NameACM International Conference Proceeding Series
Volume17-21-July-2016

Other

OtherConference on Diversity, Big Data, and Science at Scale, XSEDE 2016
CountryUnited States
CityMiami
Period7/17/167/21/16

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Keywords

  • CyberGIS
  • Data sharing
  • Elevation data
  • Geospatial big data
  • Microservices
  • Web-based gateway environment

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Hu, H., Hong, X., Terstriep, J., Liu, Y. Y., Finn, M. P., Rush, J., Wendel, J., & Wang, S. (2016). TopoLens: Building a CyberGIS community data service for enhancing the usability of high-resolution national topographic datasets. In Proceedings of XSEDE 2016: Diversity, Big Data, and Science at Scale [a39] (ACM International Conference Proceeding Series; Vol. 17-21-July-2016). Association for Computing Machinery. https://doi.org/10.1145/2949550.2949652