Hyper-resolution monitoring of urban flooding with social media and crowdsourcing data

Wang, Ruo‐Qian; Mao, Huina; Wang, Yuan; Rae, Chris S.; Shaw, Wesley

doi:10.1016/j.cageo.2017.11.008

Cited by 168 publications

(115 citation statements)

References 15 publications

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“…Examples include the development of accessibility mapping for people with disabilities, water quantity estimation, and estimation of inundated areas. An example where citizens are used as the only data generation agent but both data types are used is where citizen observations transmitted through a dedicated mobile app and Twitter are integrated to show flood extent and water level to assist with disaster management (Wang et al, ).…”

Section: Review Of Crowdsourcing Data Acquisition Methods Usedmentioning

confidence: 99%

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Zheng

Tao

Maier

et al. 2018

Reviews of Geophysics

113

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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.

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Section: Review Of Crowdsourcing Data Acquisition Methods Usedmentioning

confidence: 99%

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Zheng

Tao

Maier

et al. 2018

Reviews of Geophysics

113

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“…Previous research has shown that flood extent can be mapped from flood photos by consulting with a DEM (e.g., Gallien et al, 2011), and automation of this process in accordance with the location, orientation, and magnification of photos is needed for real-time NF monitoring based on photographs posted to social media. Social media has emerged as an important platform for two-way communication about flooding between authorities and community members (Feldman et al, 2016;Le Coz et al, 2016;Palen & Hughes, 2018) and can be used to gather information around the severity of floods (Fohringer et al, 2015;Smith et al, 2017;Wang et al, 2018). Flood monitoring efforts have also explored combining social media with remote sensing and unmanned aerial vehicle data (Rosser et al, 2017), although these efforts have been mainly focused on extreme events (Kogan et al, 2015;Middleton et al, 2014).…”

Section: Nf Monitoringmentioning

confidence: 99%

What Is Nuisance Flooding? Defining and Monitoring an Emerging Challenge

Moftakhari

AghaKouchak

Sanders

et al. 2018

Water Resources Research

148

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Nuisance flooding (NF) refers to low levels of inundation that do not pose significant threats to public safety or cause major property damage, but can disrupt routine day‐to‐day activities, put added strain on infrastructure systems such as roadways and sewers, and cause minor property damage. NF has received some attention in the context of low‐lying coastal cities exposed to increasingly higher high tides, a consequence of sea level rise, which exceeds the heights of coastal topography. However, low levels of flooding are widespread and deserve greater attention. Here a simple, quantitative definition of NF is proposed based on established flood intensity thresholds for flood consequences (e.g., pedestrian safety, property damage, and health risks). Based on a wide range of literature including hydrology, transportation, public health risk, and safety impacts, we define NF based on depth >3 cm and <10 cm, regardless of the source. This definition of NF is not limited to high tide flooding but rather is inclusive of all possible flood drivers including pluvial, fluvial, and oceanic and can capture trends in NF resulting from trends in, and compounding effects of, flood drivers. Furthermore, we also distinguish between NF as a process and NF as an event, which is important for linking NF to societal impacts and developing effective policy interventions and mitigation strategies. Potential applications and implications of NF monitoring are also presented.

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“…In urban areas, the wide availability of smart phones, digital photos and social media provides an opportunity to obtain flood-related information where direct measurements are not available (René et al, 2015), which can support model verification. For example, platforms such as Twitter or crowd-sourcing web portals now carry a wealth of information regarding on-going or past flood events (Smith and Liang, 2013;Wang et al, 2018;Yu et al, 2016). However, most of the applications can only underpin the locations and timing of flooding, and require human labour to extract flood depth or extent information (Fohringer et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features

Wang

Chen

et al. 2018

Environmental Modelling & Software

172

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Hyper-resolution monitoring of urban flooding with social media and crowdsourcing data

Cited by 168 publications

References 15 publications

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

What Is Nuisance Flooding? Defining and Monitoring an Emerging Challenge

An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features

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