Crowdsourcing Geospatial Data for Earth and Human Observations: A Review


Huang, Xiao, Wang, Siqin, Yang, Di, Hu, Tao, Chen, Meixu ORCID: 0000-0003-2712-5551, Zhang, Mengxi, Zhang, Guiming, Biljecki, Filip, Lu, Tianjun, Zou, Lei et al (show 8 more authors) (2024) Crowdsourcing Geospatial Data for Earth and Human Observations: A Review. Journal of Remote Sensing, 4.

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Abstract

<jats:p>The transformation from authoritative to user-generated data landscapes has garnered considerable attention, notably with the proliferation of crowdsourced geospatial data. Facilitated by advancements in digital technology and high-speed communication, this paradigm shift has democratized data collection, obliterating traditional barriers between data producers and users. While previous literature has compartmentalized this subject into distinct platforms and application domains, this review offers a holistic examination of crowdsourced geospatial data. Employing a narrative review approach due to the interdisciplinary nature of the topic, we investigate both human and Earth observations through crowdsourced initiatives. This review categorizes the diverse applications of these data and rigorously examines specific platforms and paradigms pertinent to data collection. Furthermore, it addresses salient challenges, encompassing data quality, inherent biases, and ethical dimensions. We contend that this thorough analysis will serve as an invaluable scholarly resource, encapsulating the current state-of-the-art in crowdsourced geospatial data, and offering strategic directions for future interdisciplinary research and applications across various sectors.</jats:p>

Item Type: Article
Divisions: Faculty of Science and Engineering > School of Environmental Sciences
Depositing User: Symplectic Admin
Date Deposited: 05 Mar 2024 08:42
Last Modified: 26 Mar 2024 15:53
DOI: 10.34133/remotesensing.0105
Open Access URL: https://spj.science.org/doi/full/10.34133/remotese...
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URI: https://livrepository.liverpool.ac.uk/id/eprint/3179113
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