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Akademický článek

Assessing a Model-of-Models Approach for Global Flood Forecasting and Alerting

Autor: Bandana Kar, Guy J.-P. Schumann, Marina T. Mendoza, Doug Bausch, Jun Wang, Prativa Sharma, Margaret T. Glasscoe

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9641-9650 (2024)

Flooding is a frequent extreme weather event that causes significant financial and societal losses. According to the International Disaster Database (EM-DAT), during January through July 2023, 87 flooding events caused about 2000 deaths and ${\$}$13

Externí odkaz: https://doaj.org/article/c3096da1f9da438aa9035bfc8fc82d8e

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Akademický článek

Quantitative multi-factor characterization of eco-environmental vulnerability in the Mount Elgon ecosystem

Autor: Dan Wanyama, Bandana Kar, Nathan J. Moore

Publikováno v: GIScience & Remote Sensing, Vol 58, Iss 8, Pp 1571-1592 (2021)

The Mount Elgon ecosystem (MEE), an important hydrological and socio-economic area in East Africa, has exhibited significant landscape changes. These are driven by both natural factors and human activities. Yet, the vulnerability of this ecosystem is

Externí odkaz: https://doaj.org/article/9f8390d8764e4618972c081dc944b82b

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Akademický článek

Effect of Social Vulnerability on Taxi Trip Times during Hurricane Sandy

Autor: Avipsa Roy, Bandana Kar

Publikováno v: Findings (2022)

The increase in the availability of GPS-based movement data has enabled the exploration of mobility patterns in urban transportation networks. Understanding the relationship between social vulnerability and transportation flows from big data during n

Externí odkaz: https://doaj.org/article/7d7370f2174d4394a8f78f037a7008fd

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Akademický článek

Correction:The Associations Between Racially/Ethnically Stratified COVID-19 Tweets and COVID-19 Cases and Deaths: Cross-sectional Study

Autor: Xiaohui Liu, Bandana Kar, Francisco Alejandro Montiel Ishino, Tracy Onega, Faustine Williams

Publikováno v: JMIR Formative Research, Vol 6, Iss 7, p e40365 (2022)

Externí odkaz: https://doaj.org/article/5d3edeeeb9a14a7897407d1fc6e7a241

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Akademický článek

The Associations Between Racially/Ethnically Stratified COVID-19 Tweets and COVID-19 Cases and Deaths: Cross-sectional Study

Autor: Xiaohui Liu, Bandana Kar, Francisco Alejandro Montiel Ishino, Tracy Onega, Faustine Williams

Publikováno v: JMIR Formative Research, Vol 6, Iss 5, p e30371 (2022)

BackgroundThe COVID-19 pandemic exacerbated existing racial/ethnic health disparities in the United States. Monitoring nationwide Twitter conversations about COVID-19 and race/ethnicity could shed light on the impact of the pandemic on racial/ethnic

Externí odkaz: https://doaj.org/article/fa1e146e927c4f80bc00ec477d7f5f4d

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Akademický článek

Assessing relevance of tweets for risk communication

Autor: Xiaohui Liu, Bandana Kar, Chaoyang Zhang, David M. Cochran

Publikováno v: International Journal of Digital Earth, Vol 12, Iss 7, Pp 781-801 (2019)

Although Twitter is used for emergency management activities, the relevance of tweets during a hazard event is still open to debate. In this study, six different computational (i.e. Natural Language Processing) and spatiotemporal analytical approache

Externí odkaz: https://doaj.org/article/f4c42ca4fbbc4ba3830e5450f3a8d621

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Akademický článek

Assessing the Reliability of Relevant Tweets and Validation Using Manual and Automatic Approaches for Flood Risk Communication

Autor: Xiaohui Liu, Bandana Kar, Francisco Alejandro Montiel Ishino, Chaoyang Zhang, Faustine Williams

Publikováno v: ISPRS International Journal of Geo-Information, Vol 9, Iss 9, p 532 (2020)

While Twitter has been touted as a preeminent source of up-to-date information on hazard events, the reliability of tweets is still a concern. Our previous publication extracted relevant tweets containing information about the 2013 Colorado flood eve

Externí odkaz: https://doaj.org/article/f5f62b58e8b14a998aef6c8e0b3d8995

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