Emergency Management: Exploring Hard and Soft Data Fusion Modeling with Unmanned Aerial Systems and Non-governmental Human Intelligence Mediums

McMullen, Sonya A. H.; McMullen, Mac J.; Forster, Peter K.; Ison, David; Clark, Patti J.

doi:10.1007/978-3-319-56994-9_35

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…Surveillance satellites, including IKONOS and GeoEye-1, provide highresolution imagery for crisis monitoring, change detection, and critical location identification (NRC, 2013). The usage of Unmanned Aerial Systems (UAS) has demonstrated its value for emergency management by providing real-time, data-rich descriptions of the location and movement of a certain crisis or accident (McMullen et al, 2016). Interweaving remote sensing with social sensing constitutes a key advancement in space and security domain, where useful information can be derived not only from EO products but also from their combination with news articles and the user-generated content from social media (Xu et al, 2017).…”

Section: Security and Defensementioning

confidence: 99%

Big Earth data analytics: a survey

Yang

et al. 2019

Big Earth Data

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Big Earth data are produced from satellite observations, Internet-of-Things, model simulations, and other sources. The data embed unprecedented insights and spatiotemporal stamps of relevant Earth phenomena for improving our understanding, responding, and addressing challenges of Earth sciences and applications. In the past years, new technologies (such as cloud computing, big data and artificial intelligence) have gained momentum in addressing the challenges of using big Earth data for scientific studies and geospatial applications historically intractable. This paper reviews the big Earth data analytics from several aspects to capture the latest advancements in this fast-growing domain. We first introduce the concepts of big Earth data. The architecture, various functionalities, and supporting modules are then reviewed from a generic methodology aspect. Analytical methods supporting the functionalities are surveyed and analyzed in the context of different tools. The driven questions are exemplified through cutting-edge Earth science researches and applications. A list of challenges and opportunities are proposed for different stakeholders to collaboratively advance big Earth data analytics in the near future.

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Section: Security and Defensementioning

confidence: 99%

Big Earth data analytics: a survey

Yang

et al. 2019

Big Earth Data

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“…Most countries have national disaster and crisis management established bodies responsible for managing information related a given crisis in their respective countries [21]. Such bodies face the challenge of controlling proliferation of information in the social medial which could be trending faster than their official communication channels [22].…”

Section: Usability Of Eo Crisis Data and Role Of Mobile Technologymentioning

confidence: 99%

Emerging Trends in Crisis Management: Usability, Earth Observation and Disaster Management

Leonard¹

2018

Crisis Management - Theory and Practice

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Availability of Earth observation (EO) data and dissemination has been revolutionized with technological advancement in computation and use of mobile tools such as phones, tablets and laptops. This is further expanded with availability of affordable data/internet connections which no longer require Ethernet cables to get internet connection. The result is explosion of spatial data on various blogs and personal profiles such as Tweeter, Facebook, Instagram and other internet feeds. This has created explosion of information with a lot of integrity issues on data quality, lack of data source and lack of responsibility and authenticity. The problem is further compounded with advancement in search engines and data harvesting applications which collects similar archived information and makes them available to the user on the internet search engines. There should be a clear link detailing the nature of EO and the kind of relevant information that can be derived from them.

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Emergency Management: Exploring Hard and Soft Data Fusion Modeling with Unmanned Aerial Systems and Non-governmental Human Intelligence Mediums

Cited by 2 publications

References 25 publications

Big Earth data analytics: a survey

Big Earth data analytics: a survey

Emerging Trends in Crisis Management: Usability, Earth Observation and Disaster Management

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