Geospatial big data handling theory and methods: A review and research challenges

Big data has now become a strong focus of global interest that is increasingly attracting the attention of academia, industry, government and other organizations. Big data can be situated in the disciplinary area of traditional geospatial data handling theory and methods. The increasing volume and v...

Full description

Saved in:
Bibliographic Details
Published inISPRS journal of photogrammetry and remote sensing Vol. 115; pp. 119 - 133
Main Authors Li, Songnian, Dragicevic, Suzana, Castro, Francesc Antón, Sester, Monika, Winter, Stephan, Coltekin, Arzu, Pettit, Christopher, Jiang, Bin, Haworth, James, Stein, Alfred, Cheng, Tao
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.05.2016
Subjects
Analytics
Big data
Data handling
Data management
Decisions
Format
Geospatial
Governments
Handling
industry
Organizations
Photogrammetry
Remote sensing
Review
spatial data
Spatial modeling
Big data
Geospatial
Review
Data handling
Analytics
Spatial modeling
Online AccessGet full text

Cover

More Information
Summary:Big data has now become a strong focus of global interest that is increasingly attracting the attention of academia, industry, government and other organizations. Big data can be situated in the disciplinary area of traditional geospatial data handling theory and methods. The increasing volume and varying format of collected geospatial big data presents challenges in storing, managing, processing, analyzing, visualizing and verifying the quality of data. This has implications for the quality of decisions made with big data. Consequently, this position paper of the International Society for Photogrammetry and Remote Sensing (ISPRS) Technical Commission II (TC II) revisits the existing geospatial data handling methods and theories to determine if they are still capable of handling emerging geospatial big data. Further, the paper synthesises problems, major issues and challenges with current developments as well as recommending what needs to be developed further in the near future.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0924-2716
1872-8235
1872-8235
DOI:10.1016/j.isprsjprs.2015.10.012