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Quantification of the Ecological Resilience of Drylands Using Digital Remote Sensing
Ecology and Society (2008)
  • Neil E. West, Utah State University
  • Robert A Washington-Allen
  • R. Douglas Ramsey
  • Brien E Norton
Drylands cover 41% of the terrestrial surface and support > 36% of the world's population. However, the magnitude of dryland degradation is unknown at regional and global spatial scales and at 15-30-yr temporal scales. Historical archives of > 30 yr of Landsat satellite imagery exist and allow local to global monitoring and assessment of a landscape's natural resources in response to climatic events and human activities. Vegetation indices (VIs), i.e., proxies of vegetation characteristics such as phytomass, can be derived from the spectral properties of Landsat imagery. A dynamical systems analysis method called mean-variance analysis can be used to describe and quantify dynamic regimes of VI response to disturbance using characteristics of ecological resilience, particularly amplitude and malleability, from a change detection perspective...
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Neil E. West, Robert A Washington-Allen, R. Douglas Ramsey and Brien E Norton. "Quantification of the Ecological Resilience of Drylands Using Digital Remote Sensing" Ecology and Society Vol. 13 Iss. 1 (2008)
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