Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake

Zook, Matthew; Graham, Mark; Shelton, Taylor; Gorman, Sean

doi:10.2202/1948-4682.1069

Cited by 603 publications

(320 citation statements)

References 25 publications

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“…Future research should be undertaken so that the application is able to support a large number of users and still give good performance [51]. Scalability should be considered and techniques such as load balancing, compression, caching and indexing techniques [7] for the database could be investigated to improve the performance utilizing the latest geocomputing technologies, such as spatial cloud computing [52].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…This represents an alternate type of volunteered content, also referred to as ambient geographical information (AGI) [6], which complements and expands volunteered geographical information (VGI). This crowd-contributed content has been proven very valuable during natural disasters such as the Haitian Earthquake [7], the Red River Floods [8] and the Santa Barbara Wild Fires [9].…”

Section: Introductionmentioning

confidence: 99%

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Mashing up Geographic Information for Emergency Response—An Earthquake Prototype

Dias¹,

Yang²,

Stefanidis³

et al. 2014

JGIS

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Important information pertaining to emergencies and responses to the emergencies is often distributed across numerous Internet sites. In the event of a disaster like an earthquake, rapid access to such information is critical. At such moments the general public usually has a hard time navigating through numerous sites to retrieve and integrate information, and this may severely affect our capability to make critical decisions in a timely manner. Common earthquake mashups often lack relevant information like locations of first responders and routing to important facilities (e.g. hospitals and fire stations) which could save important time and lives. To address the challenges, we developed an Earthquake Information Mashup prototype. This prototype demonstrates a mashup approach to providing a Web visualization of real-time earthquake monitoring and complementary information, such as traffic conditions, the location of important facilities and routing to them. It also offers users the ability to communicate local condition. Users are thus able to better integrate information from various near real-time sources, obtain better situational awareness, and make smarter informed critical decisions.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mashing up Geographic Information for Emergency Response—An Earthquake Prototype

Dias¹,

Yang²,

Stefanidis³

et al. 2014

JGIS

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“…Through the proliferation of mobile technologies, opensource mapping, and online GIS, an increasingly important role for social media and crowd-sourced data in disaster response is emerging (e.g., Zook et al, 2010;Fleischhauer et al, 2017). Following the Gorkha earthquake, crowd-sourced mapping campaigns initiated by Tomnod (with imagery from DigitalGlobe TM ) and OpenStreetMap (with imagery from Airbus) provided users with access to image tiles and the ability to create and edit vectorized shapes.…”

Section: Science Citizen Science and Coseismic Landslide Assessmentmentioning

confidence: 99%

Satellite-based emergency mapping using optical imagery: experience and reflections from the 2015 Nepal earthquakes

Williams

Rosser

Kincey

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Landslides triggered by large earthquakes in mountainous regions contribute significantly to overall earthquake losses and pose a major secondary hazard that can persist for months or years. While scientific investigations of coseismic landsliding are increasingly common, there is no protocol for rapid (hours-to-days) humanitarian-facing landslide assessment and no published recognition of what is possible and what is useful to compile immediately after the event. Drawing on the 2015 M w 7.8 Gorkha earthquake in Nepal, we consider how quickly a landslide assessment based upon manual satellite-based emergency mapping (SEM) can be realistically achieved and review the decisions taken by analysts to ascertain the timeliness and type of useful information that can be generated. We find that, at present, many forms of landslide assessment are too slow to generate relative to the speed of a humanitarian response, despite increasingly rapid access to high-quality imagery. Importantly, the value of information on landslides evolves rapidly as a disaster response develops, so identifying the purpose, timescales, and end users of a post-earthquake landslide assessment is essential to inform the approach taken. It is clear that discussions are needed on the form and timing of landslide assessments, and how best to present and share this information, before rather than after an earthquake strikes. In this paper, we share the lessons learned from the Gorkha earthquake, with the aim of informing the approach taken by scientists to understand the evolving landslide hazard in future events and the expectations of the humanitarian community involved in disaster response.

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“…After the devastating earthquake that struck Haiti in January 2010, for instance, there was a very significant response of the international OSM community (Neis et al 2010;Zook et al 2010). In the aftermath of that severe quake, good-quality maps were not available to guide the relief efforts, and the standard map services in the web (e.g.…”

Section: Collaborative Mappingmentioning

confidence: 99%

Crowdsourcing geographic information for disaster management and improving urban resilience: an overview of recent developments and lessons learned

Albuquerque¹,

Eckle²,

Herfort³

et al. 2016

European Handbook of Crowdsourced Geographic Information

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In the past few years, crowdsourced geographic information (also called volunteered geographic information) has emerged as a promising information source for improving urban resilience by managing risks and coping with the consequences of disasters triggered by natural hazards. This chapter presents a typology of sources and usages of crowdsourced geographic information for disaster management, as well as summarises recent research results and present lessons learned for future research and practice in this field.

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Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake

Cited by 603 publications

References 25 publications

Mashing up Geographic Information for Emergency Response—An Earthquake Prototype

Mashing up Geographic Information for Emergency Response—An Earthquake Prototype

Satellite-based emergency mapping using optical imagery: experience and reflections from the 2015 Nepal earthquakes

Crowdsourcing geographic information for disaster management and improving urban resilience: an overview of recent developments and lessons learned

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