Crowdsourcing Geospatial Data for Earth and Human Observations: A Review

Xiao Huang; Siqin Wang; Di Yang; Tao Hu; Meixu Chen; Mengxi Zhang; Guiming Zhang; Filip Biljecki; Tianjun Lu; Lei Zou; Connor Y.H. Wu; Yoo Min Park; Xiao Li; Yunzhe Liu; Hongchao Fan; Jessica Mitchell; Zhenlong Li; Alexander Hohl

doi:10.34133/remotesensing.0105

Crowdsourcing Geospatial Data for Earth and Human Observations: A Review

Xiao Huang, Siqin Wang, Di Yang, Tao Hu, Meixu Chen, Mengxi Zhang, Guiming Zhang, Filip Biljecki, Tianjun Lu, Lei Zou, Connor Y.H. Wu, Yoo Min Park, Xiao Li, Yunzhe Liu, Hongchao Fan, Jessica Mitchell, Zhenlong Li, Alexander Hohl

Research output: Contribution to journal › Review article › peer-review

9 Scopus citations

Abstract

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.

Original language	English
Article number	0105
Journal	Journal of Remote Sensing (United States)
Volume	4
DOIs	https://doi.org/10.34133/remotesensing.0105
State	Published - Jan 2024

Bibliographical note

Publisher Copyright:
Copyright © 2024 Xiao Huang et al.

Funding

Funding: This research is supported by the Faculty Startup Fund of the College of Arts and Sciences at Emory University. Author contributions: X.H. and S.W. conceptualized this work and designed the article structure. X.H., S.W., D.Y., T.H., M.C., M.Z., G.Z., F.B., T.L., L.Z., C.Y.W., Y.M.P., X.L., Y.L., and H.F. contributed to the writing of the manuscript. J.M., Z.L., and A.H. helped review and revise the manuscript. Competing interests: The authors declare that they have no competing interests.

Funders	Funder number
Faculty Startup Fund of the College of Arts and Sciences at Emory University

ASJC Scopus subject areas

Earth and Planetary Sciences (miscellaneous)
Instrumentation
Geography, Planning and Development

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10.34133/remotesensing.0105

Cite this

Huang, X., Wang, S., Yang, D., Hu, T., Chen, M., Zhang, M., Zhang, G., Biljecki, F., Lu, T., Zou, L., Wu, C. Y. H., Park, Y. M., Li, X., Liu, Y., Fan, H., Mitchell, J., Li, Z., & Hohl, A. (2024). Crowdsourcing Geospatial Data for Earth and Human Observations: A Review. Journal of Remote Sensing (United States), 4, Article 0105. https://doi.org/10.34133/remotesensing.0105

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abstract = "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.",

author = "Xiao Huang and Siqin Wang and Di Yang and Tao Hu and Meixu Chen and Mengxi Zhang and Guiming Zhang and Filip Biljecki and Tianjun Lu and Lei Zou and Wu, {Connor Y.H.} and Park, {Yoo Min} and Xiao Li and Yunzhe Liu and Hongchao Fan and Jessica Mitchell and Zhenlong Li and Alexander Hohl",

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doi = "10.34133/remotesensing.0105",

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AU - Zhang, Guiming

AU - Biljecki, Filip

AU - Lu, Tianjun

AU - Zou, Lei

AU - Wu, Connor Y.H.

AU - Park, Yoo Min

AU - Li, Xiao

AU - Liu, Yunzhe

AU - Fan, Hongchao

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AU - Li, Zhenlong

AU - Hohl, Alexander

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AB - 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.

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Crowdsourcing Geospatial Data for Earth and Human Observations: A Review

Abstract

Bibliographical note

Funding

ASJC Scopus subject areas

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