Abstract
In recent years, geospatial data have exploded to massive volume and diversity and subsequently cause serious usability issues for researchers in various scientific areas. This paper describes a cyberGIS community data service framework to facilitate geospatial big data access, processing, and sharing based on a hybrid supercomputer architecture. Specifically, the framework aims to enhance the usability of national elevation dataset released by the U.S. Geological Survey in the contiguous United States at the resolution of 1/3 arc-second. A community data service, namely TopoLens, is created to demonstrate the workflow integration of national elevation dataset and the associated computation and analysis. Two user-friendly environments, including a publicly available web application and a private workspace based on the Jupyter notebook, are provided for users to access both precomputed and on-demand computed high-resolution elevation data. The system architecture of TopoLens is implemented by exploiting the ROGER supercomputer, the first cyberGIS supercomputer dedicated to geospatial problem-solving. The usability of TopoLens has been acknowledged in the topographic user community evaluation.
Original language | English (US) |
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Article number | e4682 |
Journal | Concurrency and Computation: Practice and Experience |
Volume | 31 |
Issue number | 16 |
DOIs | |
State | Published - Aug 25 2019 |
Keywords
- CyberGIS
- geospatial big data
- microservices
- science gateway
- topographic data
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Computer Science Applications
- Computer Networks and Communications
- Computational Theory and Mathematics