Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7755

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2007 - 200912010 - 20181

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Access type: Open accessSubject: search.filters.subject.Remote sensing

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  • Master Thesis
    Investigation of Vegetation and Agricutural Soils in Relation To Groundwater by Using Geographic Information Systems (gis): a Case Study of Manisa, Alaşehir Basin
    (Izmir Institute of Technology, 2018) Budak, Seda; Demirkesen, Ali Can
    Groundwater is a natural resource that is directly or indirectly affected by any intervention in nature that we use in all areas of our life. In this sense, the issue of the groundwater is a study-subject that interests many professions and researches. Urban planning is a profession area that is directly related to the groundwater issues as decision-making on spatial and functional decisions about the city and the natural environment. However, groundwater resources are not taken into account as aboveground natural resources during the planning phase. Plans without consideration of groundwater potential cause threatening consequences for both existing natural resources and residents in the region. For this reason, the focus point of the thesis is the groundwater and its determination and investigation of relationship among the groundwater, vegetation, and agricultural soils. The aim of this thesis is to determine the groundwater potential (GWP) locations of Alaşehir Basin by a multi-criteria (proxies) method based on Geographic Information System (GIS) integrated with Remote Sensing (RS). The method used in this study includes 10 proxies as mult-criteria that play important roles on determination of the potential of the groundwater, combining these proxies in a digital media and illustrating output image maps of them. These proxies are: Normalized Difference Vegitation Index (NDVI), Modified Normalized Difference Water Index (MNDWI), land-use land-cover (LULC), lineament, topography (Digital Elevation Model – DEM), slope, drainage, lithology, hydraulic conductivity, and soil types. The main data sources of the study are: Landsat-8 OLI multi-spetral satellite image bands, the Aster Digital Elevation Model (DEM) of the study area and the GIS data layers from the institutions and research studies. According to study, the most GWP locations are seen in northeast of Salihli, in southeast of Alaşehir and around Dereköy. This findings are so important for planning in terms of groundwater pollution risk management.
  • Doctoral Thesis
    Detection of Environmental and Urban Change Using Remote Sensing and Gis
    (Izmir Institute of Technology, 2007) Tarhan, Çiğdem; Çelik, Hüseyin Murat
    This thesis is an example of how land use changes could be detected via high resolution remotely sensed data in GIS environment. In order to perform .change detection. IKONOS satellite images, belonging to 2001 and 2004, have been used. An automated Graphical User Interface (GUI) has been created for detection of environment. Different image enhancement techniques and a fuzzy inference system have been combined in the GUI. The detection results are classified according to some basic levels such as 20, 50 % and 70 %. Additionally, four different change detection algorithms have been applied, which are pixel-based, object based, feature based. These algorithms have been examined according to change detection levels with different image enhancement techniques.In this context, the primary objective of this thesis is to detect environmental changes regularly using RS and GIS in order to obtain up-to-date information about the urban areas.The secondary objective of the thesis is to compare the existing techniques with the newly developed GUI for change detection of environmental changes and to discuss the improvement in the overall results using information obtained with different detection techniques.The hypothesis of this thesis is to develop a new GIS based change detection system. Thus, it would be realized in the GIS environment efficiently and overlaid the results with digitized data in the same environment.Keywords: Remote Sensing, GIS, change detection, urban data, Izmir.