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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

Urbanization and Land Cover Change in Dakota County, Minnesota

Kylee Berger and

Julia Vang

FR 3262 Remote Sensing

Section 001/002

objectives
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.
area of study
Area of Study

Dakota County, Minnesota

materials tools and data
Materials, Tools, and Data
  • Landsat TM images
    • 1984
    • 2005
  • MN Data Deli
  • ArcGIS
  • ERDAS Imagine 2011
  • Dakota County GIS
methodology
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
classification
Classification
  • Supervised classification
    • 20 training points for all 6 Classes
        • Urban
        • Agriculture
        • Water
        • Wetland
        • Herbaceous
        • Forest
thematic change detection
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
accuracy assessment 1984
Accuracy Assessment 1984
  • Classification Accuracy of 68.6%
accuracy assessment 2005
Accuracy Assessment 2005

Classification Accuracy Percent of 70.0%

conclusions
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
future studies
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