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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Landscape And Impervious Surface Mapping In The Twin Cities Metropolitan Area Using Feature Recognition And Decision Tree Techniques, Philipp Nagel
Landscape And Impervious Surface Mapping In The Twin Cities Metropolitan Area Using Feature Recognition And Decision Tree Techniques, Philipp Nagel
All Graduate Theses, Dissertations, and Other Capstone Projects
Land Use and Land Cover (LULC) and Impervious Surface Area (ISA) are important parameters for many environmental studies, and serve as an essential tool for decision makers and stakeholders in Urban & Regional planning. Newly available high spatial resolution aerial ortho-imagery and LiDAR data, in combination with specialized, object-oriented and decision-tree classification techniques, allow for accurate mapping of these features. In this study, a method was developed to first classify LULC using an object-based classifier, and then use the resulting map as input for a decision-tree model to classify ISA in the Twin Cities Metropolitan Area in Minnesota. It was …