Journal article
Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges
Toronto Metropolitan University1
University College London2
University of Twente3
Simon Fraser University4
National Space Institute, Technical University of Denmark5
Geodesy, National Space Institute, Technical University of Denmark6
Leibniz University Hannover7
University of Melbourne8
University of Zurich9
University of New South Wales10
University of Gävle11
...and 1 moreBig 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.
| Language: | English |
|---|---|
| Publisher: | Elsevier BV |
| Year: | 2016 |
| Pages: | 119-133 |
| ISSN: | 18728235 and 09242716 |
| Types: | Journal article |
| DOI: | 10.1016/j.isprsjprs.2015.10.012 |
| ORCIDs: | Anton, François and 0000-0002-2337-2486 |
