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dc.contributor.advisorJensen, Jennifer
dc.contributor.authorZhao, Chunhong ( Orcid Icon 0000-0003-0391-6420 )
dc.date.accessioned2018-08-07T19:35:58Z
dc.date.available2018-08-07T19:35:58Z
dc.date.issued2018-08
dc.identifier.citationZhao, C. (2018). Studying surface urban heat island phenomenon using remote sensing in three metropolitan areas of Texas, USA (Unpublished dissertation). Texas State University, San Marcos, Texas.
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/7411
dc.description.abstract

The goal of this dissertation was to investigate the Surface Urban Heat Island (SUHI) phenomenon for three metropolitan areas of Texas, USA with remote sensing techniques. A GIS-based Local Climate Zones (LCZs) classification scheme was developed with the aid of airborne Lidar datasets and other freely available GIS data, to map and compare the LCZs for the three metropolitan areas: Dallas-Fort Worth (DFW), Austin, and San Antonio. A decision-making algorithm was built for LCZs mapping, and LCZs datasets were established.

By linking remotely sensed land surface temperature (LST) with LCZs, the study investigated the ability of LCZs for studying SUHI phenomenon and analyzes how different LCZs affect the SUHI in three major metropolitan areas. Landsat 8 image data was acquired for July 20, 2015 and used to calculate LST as SUHI measurement. Results indicated that large LST variations were first demonstrated among LCZs characterized by different land cover, and then urban morphological information. The close association between LCZs and LST demonstrated that the LCZs mapping was useful for comparing and investigating the SUHI.

The geographically weighted regression (GWR) efficiently and accurately explained the underlying factors that contributed to the SUHI based on spatial variation and thus demonstrates improved utility for characterizing SUHI compared to global regression.

dc.formatText
dc.format.extent142 pages
dc.format.medium1 file (.pdf)
dc.language.isoen
dc.subjectSurface urban heat island
dc.subjectLocal climate zones
dc.subjectLand surface temperature
dc.subjectRemote sensing
dc.subjectGeographically weighted regression
dc.subject.lcshUrban heat island--Texasen_US
dc.subject.lcshRemote sensingen_US
dc.subject.lcshUrban climatologyen_US
dc.titleStudying Surface Urban Heat Island Phenomenon Using Remote Sensing in Three Metropolitan Areas of Texas, USA
txstate.documenttypeDissertation
dc.contributor.committeeMemberCurrit, Nathan
dc.contributor.committeeMemberWeaver, Russell
dc.contributor.committeeMemberWeng, Qihao
thesis.degree.departmentGeography
thesis.degree.disciplineGeographic Information Science
thesis.degree.grantorTexas State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
txstate.departmentGeography


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