Identifying historical and recent land-cover changes in Kansas using post-classification change detection techniques

نویسندگان

  • DANA L. PETERSON
  • STEPHEN L. EGBERT
  • KEVIN P. PRICE
  • EDWARD A. MARTINKO
چکیده

Statewide land-cover change detection analysis provides a useful tool for conservation planning and environmental monitoring and addresses issues of habitat fragmentation and urban sprawl. Furthermore, land-cover data offer a historical and recent perspective on landscape dynamics. To this end, the first alliance level land-cover map of Kansas (Kansas Vegetation Map) recently completed by the KARS Program was compared to Küchler’s Potential Natural Vegetation map and the 1993 Kansas Land Cover Patterns map. The post-classification change detection technique was used along with co-occurrence matrices to identify areas and directions of land-cover change.

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تاریخ انتشار 2004