Please use this identifier to cite or link to this item: https://doi.org/10.34133/remotesensing.0105
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dc.titleCrowdsourcing Geospatial Data for Earth and Human Observations: A Review
dc.contributor.authorHuang, Xiao
dc.contributor.authorWang, Siqin
dc.contributor.authorYang, Di
dc.contributor.authorHu, Tao
dc.contributor.authorChen, Meixu
dc.contributor.authorZhang, Mengxi
dc.contributor.authorZhang, Guiming
dc.contributor.authorBiljecki, Filip
dc.contributor.authorLu, Tianjun
dc.contributor.authorZou, Lei
dc.contributor.authorWu, Connor YH
dc.contributor.authorPark, Yoo Min
dc.contributor.authorLi, Xiao
dc.contributor.authorLiu, Yunzhe
dc.contributor.authorFan, Hongchao
dc.contributor.authorMitchell, Jessica
dc.contributor.authorLi, Zhenlong
dc.contributor.authorHohl, Alexander
dc.date.accessioned2024-01-23T06:15:35Z
dc.date.available2024-01-23T06:15:35Z
dc.date.issued2024-01
dc.identifier.citationHuang, Xiao, Wang, Siqin, Yang, Di, Hu, Tao, Chen, Meixu, Zhang, Mengxi, Zhang, Guiming, Biljecki, Filip, Lu, Tianjun, Zou, Lei, Wu, Connor YH, Park, Yoo Min, Li, Xiao, Liu, Yunzhe, Fan, Hongchao, Mitchell, Jessica, Li, Zhenlong, Hohl, Alexander (2024-01). Crowdsourcing Geospatial Data for Earth and Human Observations: A Review. Journal of Remote Sensing 4. ScholarBank@NUS Repository. https://doi.org/10.34133/remotesensing.0105
dc.identifier.issn2694-1589
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/246823
dc.description.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>
dc.publisherAmerican Association for the Advancement of Science (AAAS)
dc.sourceElements
dc.typeArticle
dc.date.updated2024-01-23T05:58:47Z
dc.contributor.departmentARCHITECTURE
dc.description.doi10.34133/remotesensing.0105
dc.description.sourcetitleJournal of Remote Sensing
dc.description.volume4
dc.published.statePublished
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