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dc.contributor.advisorChow, Edwin T.
dc.contributor.authorAlyaqout, Abdullatif ( Orcid Icon 0000-0002-8341-3198 )
dc.date.accessioned2018-08-06T17:23:03Z
dc.date.available2018-08-06T17:23:03Z
dc.date.issued2018-08
dc.identifier.citationAlyaqout, A. (2018). Water depth mapping of Hurricane Harvey using volunteered geographic information in Harris County, Texas (Unpublished thesis). Texas State University, San Marcos, Texas.
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/7377
dc.description.abstractNatural hazards cause catastrophic damages to both population and economy. In the U.S., floods are the costliest hazard. In 2017, Hurricane Harvey made landfall along the Texas coast on August 25th and lasted for five days. It was one of the most destructive hurricanes in the history of the state. In order to enhance emergency response and management, it is essential to have a better understanding of the flood status, risks and conditions. In flood modeling, conventional data sources include remote sensing, high water marks (HWMs) from field survey, and stream gauges are generally used. The availability of Volunteered Geographic Information (VGI), such as tweets and crowdsourced data, empowered the researchers to model flood (e.g. Water Depth (WD)) in near-real-time by integrating multi-sourced data available. Nevertheless, the quality of VGI and its reliability for flood analysis is not well understood and validated by empirical data. Therefore, the primary objective of this study was to evaluate the quality of multiple VGI data sources, especially the multimedia that include pictures and videos, against authoritative data for inundation mapping. This study collected the geospatial data from multiple sources to analyze the changing WD during Hurricane Harvey in Harris County, Texas. First, WD was generated from three VGI data modalities: (1) text, (2) pictures, and (3) videos, and they were compared against each other using Friedman test and Chi-square. Then, the VGI-derived WD was synthesized and consolidated to reconstruct the time-series of WD in Harris County. Finally, the quality of synthesized WD and VGI was validated against remote sensing (RS) and two authoritative data: (1) water level records from stream gauges at discrete locations, and (2) modeled depth grids by Federal Emergency Management Agency (FEMA) using paired t-test. The results showed that there was no statistically significant differences among all VGI data modalities in terms of precision, while it showed significant difference in terms of spatial and temporal characteristics. In addition, the results showed that there was a statistically significant difference between VGI WD and RS WD. Finally, the analysis revealed that there was no statistically significant difference between VGI data and water records from the stream gauges, while it showed a statistically significant difference when VGI were compared with the depth grids from FEMA.
dc.formatText
dc.format.extent85 pages
dc.format.medium1 file (.pdf)
dc.language.isoen
dc.subjectWater depth
dc.subjectVolunteered geographic information
dc.subjectFloods
dc.subjectTwitter
dc.subjectRemote sensing
dc.subjectGIS
dc.subject.lcshHurricane Harvey, 2017en_US
dc.subject.lcshGeographic information systemsen_US
dc.subject.lcshHuman computationen_US
dc.titleWater Depth Mapping of Hurricane Harvey using Volunteered Geographic Information in Harris County, Texas
txstate.documenttypeThesis
dc.contributor.committeeMemberDixon, Richard
dc.contributor.committeeMemberSavelyev, Alexander
thesis.degree.departmentGeography
thesis.degree.disciplineGeography
thesis.degree.grantorTexas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
txstate.departmentGeography


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