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Review Article on Crowdsourcing Geospatial Data for Earth and Human Observations

Dr. Lei Zou from the GEAR Lab recently published a collaborative article in the Journal of Remote Sensing providing a comprehensive review of Crowdsourcing Geospatial Data for Earth and Human Observations. The article is led by Dr. Xiao Huang from Department of Environmental Sciences, Emory University, Atlanta, GA. The details of this publication can be found below:

Huang, X., Wang, S., Yang, D., Hu, T., Chen, M., Zhang, M., Zhang, G., Biljecki, F., Lu, T., Zou, L. and Wu, C.Y., 2024. Crowdsourcing Geospatial Data for Earth and Human Observations: A Review. Journal of Remote Sensing, 4, p.0105.

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. 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.

Figure 1. The structure of this review.

Congratulations! We look forward to hearing more achievements from GEAR Lab! Gig'em!



Geospatial Exploration and Resolution (GEAR) Lab

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