Geospatial Assessment of Wetness Dynamics in the October 2015 SC Flood with Remote Sensing and Social Media.

Real-time data on flood extents and dynamics are important for risk assessment and emergency response during the event. While real-time imagery is often unavailable due to heavy cloud cover during a flood, remote sensing platforms can be used to monitor its development through a synoptic view. Recor...

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Published in:Southeastern Geographer Vol. 58; no. 2; pp. 164 - 181
Main Authors: WANG, CUIZHEN, LI, ZHENLONG, HUANG, XIAO
Format: Article
Published: University of North Carolina Press Summer2018
Subjects:
Online Access:View this record in EBSCOhost
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        atl: Geospatial Assessment of Wetness Dynamics in the October 2015 SC Flood with Remote Sensing and Social Media.
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          WANG, CUIZHEN
          LI, ZHENLONG
          HUANG, XIAO
        affil: Department of Geography, University of South Carolina
      su:
        South Carolina
        Social media
        Natural disasters
        Floods
        Remote sensing
        Cloudiness
        Management
      sug:
        subj:
          Social media
          Natural disasters
          South Carolina
          Floods
          Remote sensing
          Cloudiness
          Management
      keyword:
        flood dynamics
        GEOINT
        October 2015 SC Flood
        satellite imagery
        Twitter
        dinámicas de inundaciones
        imágenes satelitales
        Inundación de octubre 2015 en Carolina del Sur
        flood dynamics
        GEOINT
        October 2015 SC Flood
        satellite imagery
        Twitter
        dinámicas de inundaciones
        imágenes satelitales
        Inundación de octubre 2015 en Carolina del Sur
      ab: Real-time data on flood extents and dynamics are important for risk assessment and emergency response during the event. While real-time imagery is often unavailable due to heavy cloud cover during a flood, remote sensing platforms can be used to monitor its development through a synoptic view. Record rainfall occurring October 1-5, 2015 in coastal South Carolina caused the October 2015 South Carolina Flood. The Congaree River Watershed downstream of Columbia, SC experienced historic flooding. This study utilizes two satellite images acquired on October 8th (EO-1 ALI) and 18th (Landsat8 OLI) to examine flood dynamics. Using a normalized difference wetness index (NDWI), the flooded and highly wet areas were extracted. Social media, such as Twitter, from public users allows quick awareness of floods in an area, but geolocation is not necessarily accurate. Assisted with real-time Twitter data, satellite images after a flood helps to assess water retreat and potential risks for emergency responders. Since social media data sets are big, highly unstructured and noisy in nature, sophisticated data mining algorithms are needed for the verification process from millions of tweets in a region. When automatic tweets verification approaches are available, integrating social media into geospatial science could become important data sources for disaster assessment and management.
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    language: English
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