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...
| Published in: | Southeastern Geographer Vol. 58; no. 2; pp. 164 - 181 |
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| Main Authors: | , , |
| Format: | Article |
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University of North Carolina Press
Summer2018
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=130467479&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 130467479 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0038366X Z4J jtl: Southeastern Geographer issn: 0038366X maglogo: N pubinfo: dt: Summer2018 vid: 58 iid: 2 pid: 2027 pub: University of North Carolina Press artinfo: ui: 130467479 10.1353/sgo.2018.0020 ppf: 164 ppct: 17 formats: fmt: @attributes: type: P size: 7.3MB tig: atl: Geospatial Assessment of Wetness Dynamics in the October 2015 SC Flood with Remote Sensing and Social Media. aug: au: 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 dinámicas de inundaciones imágenes satelitales Inundación de octubre 2015 en Carolina del Sur flood dynamics GEOINT October 2015 SC Flood satellite imagery 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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