Multi-temporal Landsat Image Classification and Change Analysis of Land Cover in the Twin Cities (minnesota) Metropolitan Area
نویسندگان
چکیده
This paper describes the methods and results of classifications of multi-temporal Landsat TM/ETM+ data of the seven-county Twin Cities Metropolitan Area of Minnesota for 1986, 1991 and 1998. The overall classification accuracies were 95% for the three years, and the change detection accuracy was 88-90%. The classifications showed that the amount of urban or developed land increased from 25.8% to 30.6% of the total area between 1986 and 1998. The results are being used to project future growth patterns, analyze landscape diversity and fragmentation, and examine relationships to factors such as distance to highway. The classifications have provided an economical and accurate way to quantify, map and analyze changes over time in land cover.
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