Land cover classification and change analysis of the Twin Cities ( Minnesota ) Metropolitan Area by multitemporal Landsat remote sensing

  title={Land cover classification and change analysis of the Twin Cities ( Minnesota ) Metropolitan Area by multitemporal Landsat remote sensing},
  author={Fei Yuan and Kali E. Sawaya and Brian C. Loeffelholz and Marvin E. Bauer},
The importance of accurate and timely information describing the nature and extent of land resources and changes over time is increasing, especially in rapidly growing metropolitan areas. We have developed a methodology to map and monitor land cover change using multitemporal Landsat Thematic Mapper (TM) data in the seven-county Twin Cities Metropolitan Area of Minnesota for 1986, 1991, 1998, and 2002. The overall seven-class classification accuracies averaged 94% for the four years. The… CONTINUE READING
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