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Geospatial big data handling theory and methods: A review and research challenges
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“ML is key to preprocessing large amounts of data in large sensor networks, allowing only what is relevant to be transmitted, instead of all the raw data that is being collected [480,672,804].”
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Metadata
- Authors
- Li, S., Dragicevic, S., Castro, F. A., Sester, M., Winter, S., Coltekin, A., Pettit, C., Jiang, B., Haworth, J., Stein, A., & Cheng, T.
- Affiliations
- Toronto Metropolitan University (CA)
- Technical University of Denmark (DK)
- Leibniz University Hannover (DE)
- The University of Melbourne (AU)
- UNSW Sydney (AU)
- University of Gävle (SE)
- University College London (GB)
- University of Twente (NL)
- Corresponding author
- Li, Songnian
- ORCID
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 115
- Pages
- 119-133
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W2344199778
- Cited by
- 749
- References
- 176
- Citations by year
- 2026: 42 · 2025: 59 · 2024: 49 · 2023: 52 · 2022: 55 · 2021: 87 · 2020: 102 · 2019: 100 · 2018: 89 · 2017: 79 · 2016: 35
- FWCI
- 354.25
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- ISPRS Journal of Photogrammetry and Remote Sensing (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- University of Twente Research Information (submittedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- University of Twente Research Information (submittedVersion)
- arXiv (Cornell University)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- NSERC
- Topics
- Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Physical Sciences › Engineering › Building and Construction › 3D Modeling in Geospatial Applications
- Keywords
- geospatial big data, spatial data management, geospatial data storage, geoprocessing, geospatial data visualization, data quality checks, research challenges
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