Selection of Remotely Sensed Data

نویسندگان

  • Michael A. Lefsky
  • Warren B. Cohen
چکیده

An increasing number of sensors are available for forest ecologists and managers seeking to map attributes of forest canopy cover, forest structure and composition, and their dynamics. This Chapter seeks to put these advances within the context of the needs of forest managers and scientists. To do so, we review the basic physics behind a variety of imagery types, discuss fundamental limitations and trade-offs that apply to all remotely sensed data, review sensor options for several established and emerging technologies, and present our approach for matching imagery and attributes of interest.

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تاریخ انتشار 2007