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Urbanization and Land Cover Change in Dakota County, Minnesota

Urbanization and Land Cover Change in Dakota County, Minnesota. Kylee Berger and Julia Vang FR 3262 Remote Sensing Section 001/002. Objectives. Locate the land cover changes, per pixel, in Dakota County, MN from 1984 to 2005

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Urbanization and Land Cover Change in Dakota County, Minnesota

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  1. Urbanization and Land Cover Change in Dakota County, Minnesota Kylee Berger and Julia Vang FR 3262 Remote Sensing Section 001/002

  2. Objectives • Locate the land cover changes, per pixel, in Dakota County, MN from 1984 to 2005 • Determine the relationship between urban growth, agriculture and vegetation.

  3. Area of Study Dakota County, Minnesota

  4. Materials, Tools, and Data • Landsat TM images • 1984 • 2005 • MN Data Deli • ArcGIS • ERDAS Imagine 2011 • Dakota County GIS

  5. Methodology • In ERDAS- changed Landsat imagery to UTM zone 15 N • In ERDAS- clipped Dakota county out of our twin cities Landsat images • Ran supervised classification on both 1984 and 2005 images • Ran Thematic Change detection • “From-to” detection • Imported to Arc GIS to display where the changes between the years occurs using transparency • Performed accuracy assessment of both images

  6. Classification • Supervised classification • 20 training points for all 6 Classes • Urban • Agriculture • Water • Wetland • Herbaceous • Forest

  7. Dakota County 1984 Classified

  8. Dakota County 2005 Classified

  9. Thematic Change Detection • Ran a Matrix Union to find all the changed pixels • Used “Summary Report of Matrix” to see the percent of change and the number of acres that changed • Focused on what classes changed to urban and agriculture

  10. Thematic Change Detection

  11. Percent Change to Urban

  12. Percent Change to Agriculture

  13. Accuracy Assessment 1984 • Classification Accuracy of 68.6%

  14. Accuracy Assessment 2005 Classification Accuracy Percent of 70.0%

  15. Conclusions • The land use/cover in Dakota County, MN like almost everywhere is being developed into Urban areas and Agriculture fields. • Forests and Herbaceous lands are being developed to support the growing population

  16. Future Studies • Images with less or zero percent cloud cover • Images where dates/years all match up • Better knowledge of programs, images, and study area • Create an error matrix

  17. Questions?

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