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AGILE: GIScience Series Open-access proceedings of the Association of Geographic Information Laboratories in Europe
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Articles | Volume 3
AGILE GIScience Ser., 3, 71, 2022
https://doi.org/10.5194/agile-giss-3-71-2022
AGILE GIScience Ser., 3, 71, 2022
https://doi.org/10.5194/agile-giss-3-71-2022
 
11 Jun 2022
11 Jun 2022

Towards geospatial blockchain: A review of research on blockchain technology applied to geospatial data

Pengxiang Zhao1, Jesus Rodrigo Cedeno Jimenez2, Maria Antonia Brovelli2, and Ali Mansourian1 Pengxiang Zhao et al.
  • 1GIS Center, Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
  • 2Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy

Keywords: Blockchain, Geospatial data, Open GIS, Data privacy and integrity preservation

Abstract. In recent years, geospatial big data has been generated at a very high speed, and the data volume is becoming increasingly massive. In order to realize the full potential of geospatial big data, there has been a strong requirement and push to embrace the value of open science. However, it is still challenging to preserve the privacy and integrity of geospatial data in data sharing and management. Blockchain as d distributed ledger technology has a series of good characteristics, such as decentralization, trust-free, transparency, tamper-free, consensus and security, etc. These characteristics of blockchain are beneficial for facilitating geospatial data sharing and management, and hence promoting the development of open GIS. In this paper, we provide a comprehensive review on the literature that involves how blockchain technology is applied to geospatial data, especially in geospatial data privacy and integrity preservation. First, the background knowledge on geospatial data privacy and blockchain technology are introduced. Then, we reviewed how blockchain technology is applied to geospatial data, followed by the conclusion of the topic. This review is beneficial for understanding how blockchain technology can be applied to geospatial domain by integrating geospatial technologies like GIS and remote sensing.

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