Modeling and analyzing land use and land cover change in metropolitan Birmingham area using landsat TM, OLI data

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dc.contributor Weber, Joe
dc.contributor Graettinger, Andrew
dc.contributor.advisor Han, Luoheng
dc.contributor.author Jing, Xuehan
dc.date.accessioned 2017-03-01T17:37:02Z
dc.date.available 2017-03-01T17:37:02Z
dc.date.issued 2014
dc.identifier.other u0015_0000001_0002091
dc.identifier.other Jing_alatus_0004M_11892
dc.identifier.uri https://ir.ua.edu/handle/123456789/2477
dc.description Electronic Thesis or Dissertation
dc.description.abstract The Birmingham Metropolitan Area experienced land use land cover (LULC) change over the last three decades, such as the development of urban area, the development of transportation system, deforestation, and rise of population. The main purpose of the thesis is to model and analyze the LULC change through last three decades in Birmingham area, and also simulate the LULC in next three decades. Landsat 5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager (OLI) data from U.S. Geological Survey (USGS) is used for investigating the LULC in Birmingham area. Supervised Classification is used; the maximum overall accuracy is 86.33%. Drivers such as transportation, topographic measures, population and income, location measures are analyzed. Remote sensing indices are also derived from Landsat data, such as NDVI, NDBI, MNDWI, and LST. Pearson's Correlation test is run among the LULC proportion, drivers within counties and census tracts. Finally, the cellular automation model SLEUTH is used to simulate the future pattern of LULC. The results shows the Birmingham experienced a significant LULC change in last three decades. Transportation and slope are two main factors in terms of LULC change. In summary, the thesis completes a systematic LULC classification in Birmingham area in last three decades, and uses different methods to model and analyze LULC and eventually simulate the LULC pattern in next three decades.
dc.format.extent 132 p.
dc.format.medium electronic
dc.format.mimetype application/pdf
dc.language English
dc.language.iso en_US
dc.publisher University of Alabama Libraries
dc.relation.ispartof The University of Alabama Electronic Theses and Dissertations
dc.relation.ispartof The University of Alabama Libraries Digital Collections
dc.relation.hasversion born digital
dc.rights All rights reserved by the author unless otherwise indicated.
dc.subject.other Geography
dc.subject.other Remote sensing
dc.title Modeling and analyzing land use and land cover change in metropolitan Birmingham area using landsat TM, OLI data
dc.type thesis
dc.type text
etdms.degree.department University of Alabama. Dept. of Geography
etdms.degree.discipline Geography
etdms.degree.grantor The University of Alabama
etdms.degree.level master's
etdms.degree.name M.S.


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