Forest cover trends from time series Landsat data for the Australian continent

نویسندگان

  • Eric A. Lehmann
  • Jeremy F. Wallace
  • Peter Caccetta
  • Suzanne Furby
  • Katherine Zdunic
چکیده

In perennial and natural vegetation systems, monitoring changes in vegetation over time is of fundamental interest for identifying and quantifying impacts of management and natural processes. Subtle changes in vegetation cover can be identified by calculating the trends of a vegetation density index over time. In this paper, we apply such an index-trends approach, which has been developed and applied to time series Landsat imagery in rangeland and woodland environments, to continental-scale monitoring of disturbances within forested regions of Australia. This paper describes the operational methods used for the generation of National Forest Trend (NFT) information, which is a time-series summary providing visual indication of withinforest vegetation changes (disturbance and recovery) over time at 25m resolution. This result is based on a national archive of calibrated Landsat TM/ETM+ data from 1989 to 2006 produced for Australia’s National Carbon Accounting System (NCAS). The NCAS was designed in 1999 initially to provide consistent fine-scale classifications for monitoring forest cover extent and changes (i.e. land use change) over the Australian continent using time series Landsat imagery. NFT information identifies more subtle changes within forested areas and provides a capacity to identify processes affecting forests which are of primary interest to ecologists and land managers.

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عنوان ژورنال:
  • Int. J. Applied Earth Observation and Geoinformation

دوره 21  شماره 

صفحات  -

تاریخ انتشار 2013