Characterizing urban sprawl using multi-stage remote sensing images and landscape metrics

@article{Ji2006CharacterizingUS,
  title={Characterizing urban sprawl using multi-stage remote sensing images and landscape metrics},
  author={Wei Ji and Jia Ma and Rima Wahab Twibell and Karen Underhill},
  journal={Computers, Environment and Urban Systems},
  year={2006},
  volume={30},
  pages={861-879}
}
This study intends to explore the spatial analytical methods to identify both general trends and more subtle patterns of urban land changes. Landsat imagery of metropolitan Kansas City, USA was used to generate time series of land cover data over the past three decades. Based on remotely sensed land cover data, landscape metrics were calculated. Both the remotely sensed data and landscape metrics were used to characterize long-term trends and patterns of urban sprawl. Land cover change analyses… CONTINUE READING
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