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

Computers and Geosciences

Volumn 111, Issue , 2018, Pages 139-147

  Wang, Ruo Qian ^a,b   Mao, Huina ^c   Wang, Yuan ^d   Rae, Chris ^e   Shaw, Wesley ^e  

^a 109 McLaughlin Hall   (United States)

^b UNIVERSITY OF DUNDEE   (United Kingdom)

^c OAK RIDGE NATIONAL LABORATORY   (United States)

^d Tufts University   (United States)

^e Blue Urchin Consulting   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIG DATA; DATA ACQUISITION; DATA MINING; FLOODS; NATURAL LANGUAGE PROCESSING SYSTEMS; RISK ANALYSIS; RISK ASSESSMENT; SOCIAL NETWORKING (ONLINE);

COMPUTER VISION TECHNIQUES; DATA COLLECTION; FLOOD MONITORING; FLOODING RISKS; HYPER-RESOLUTION; LANGUAGE PROCESSING; MONITORING APPROACH; NATURAL LANGUAGES; SOCIAL MEDIA; URBAN FLOODING;

CROWDSOURCING;

COMPUTER SIMULATION; DATA MINING; DATA SET; FLOOD CONTROL; FLOODING; MONITORING SYSTEM; NUMERICAL MODEL; RESOLUTION; RISK ASSESSMENT; SOCIAL MEDIA; URBAN AREA;

EID: 85033720335     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2017.11.008     Document Type: Article

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