Evaluating the Open Source Data Containers for Handling Big Geospatial Raster Data

Evaluating the Open Source Data Containers for Handling Big Geospatial Raster Data

Big geospatial raster data pose a grand challenge to data management technologies for effective big data query and processing. To address these challenges, various big data container solutions have been developed or enhanced to facilitate data storage, retrieval, and analysis. Data containers were a...

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Bibliographic Details
Main Authors: Fei Hu, Mengchao Xu, Jingchao Yang, Yanshou Liang, Kejin Cui, Michael M. Little, Christopher S. Lynnes, Daniel Q. Duffy, Chaowei Yang
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
big data
data container
geospatial raster data management
GIS
Online Access:http://www.mdpi.com/2220-9964/7/4/144

Internet

http://www.mdpi.com/2220-9964/7/4/144

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