Canadian Forest Service Publications
Identifying and describing forest disturbance and spatial pattern: data selection issues and methodological implications. 2006. Coops, N.C.; Wulder, M.A.; White, J.C. Pages 31-61 (Chapter 2) in M.A. Wulder and S.E. Franklin, editors. Understanding forest disturbance and spatial pattern: Remote sensing and GIS approaches. CRC Press (Taylor and Francis), Boca Raton, FL, USA. 246 p.
Available from: Pacific Forestry Centre
Catalog ID: 26293
CFS Availability: Not available through the CFS (click for more information).
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An increasing number of remotely sensed data sources are available for detecting and characterizing forest disturbance and spatial pattern. As the information that is extracted from remotely sensed data is often a function of image characteristics, matching the appropriate data source to the disturbance target of interest requires knowledge of these image characteristics. Furthermore, an understanding of the implications of the dependencies between imagery selected, disturbance of interest, and change detection approach followed is required to facilitate the selection of an appropriate data source. The method used to capture the disturbance information must also be considered within the context that not all methods inherently support all data sources and vice versa. The goals of this chapter are to identify the key issues for consideration during the data selection process; highlight how these issues have an impact on the successful detection and characterization of forest disturbance and spatial pattern; and finally review the range of methods available for detecting forest disturbances and emphasize the link between these methods and the selection of an appropriate data source.
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