Title
Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions
Author
Zheng, Feifei (Zhejiang University)
Tao, Ruoling (Zhejiang University)
Maier, Holger R. (Zhejiang University; University of Adelaide; Bushfire and Natural HazardsCooperative Research Centre)
See, Linda (International Institute for Applied Systems Analysis, Laxenburg)
Savic, Dragan (KWR Water Research Institute; University of Exeter)
Zhang, Tuqiao (Zhejiang University)
Chen, Qiuwen (Nanjing Hydraulic Research Institute)
Assumpção, Thaine H. (IHE Delft Institute for Water Education)
Solomatine, D.P. (TU Delft Water Resources; IHE Delft Institute for Water Education; Russian Academy of Sciences)
Date
2019
Abstract
Data are essential in all areas of geophysics. They are used to better understand and manage systems, either directly or via models. Given the complexity and spatiotemporal variability of geophysical systems (e.g., precipitation), a lack of sufficient data is a perennial problem, which is exacerbated by various drivers, such as climate change and urbanization. In recent years, crowdsourcing has become increasingly prominent as a means of supplementing data obtained from more traditional sources, particularly due to its relatively low implementation cost and ability to increase the spatial and/or temporal resolution of data significantly. Given the proliferation of different crowdsourcing methods in geophysics and the promise they have shown, it is timely to assess the state of the art in this field, to identify potential issues and map out a way forward. In this paper, crowdsourcing-based data acquisition methods that have been used in seven domains of geophysics, including weather, precipitation, air pollution, geography, ecology, surface water, and natural hazard management, are discussed based on a review of 162 papers. In addition, a novel framework for categorizing these methods is introduced and applied to the methods used in the seven domains of geophysics considered in this review. This paper also features a review of 93 papers dealing with issues that are common to data acquisition methods in different domains of geophysics, including the management of crowdsourcing projects, data quality, data processing, and data privacy. In each of these areas, the current status is discussed and challenges and future directions are outlined.
Subject
big data
categorization
crowdsourcing
data collection
geophysics
To reference this document use:
http://resolver.tudelft.nl/uuid:2aed7a1f-fd3d-4b7d-940a-ef0f99728a27
DOI
https://doi.org/10.1029/2018RG000616
ISSN
8755-1209
Source
Reviews of Geophysics, 56 (4), 698-740
Part of collection
Institutional Repository
Document type
review
Rights
© 2019 Feifei Zheng, Ruoling Tao, Holger R. Maier, Linda See, Dragan Savic, Tuqiao Zhang, Qiuwen Chen, Thaine H. Assumpção, D.P. Solomatine, More Authors