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Selection of Remotely Sensed Data

  • Chapter
Remote Sensing of Forest Environments

Abstract

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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  1. Michael A. Lefsky

    Present address: Department of Forest Sciences, Colorado State University, Fort Collins, Colorado, 80523-1470, USA

Authors and Affiliations

  1. Department of Forest Science, Oregon State University, Corvallis, Oregon, 97331, USA

    Michael A. Lefsky

  2. USDA Forest Service, Corvallis, Oregon, 97331, USA

    Warren B. Cohen

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  1. Michael A. Lefsky
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Editors and Affiliations

  1. Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, V8Z 1M5, Victoria, British Columbia, Canada

    Michael A. Wulder

  2. Department of Geography, University of Calgary, T2N 1N4, Calgary, Alberta, Canada

    Steven E. Franklin

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Lefsky, M.A., Cohen, W.B. (2003). Selection of Remotely Sensed Data. In: Wulder, M.A., Franklin, S.E. (eds) Remote Sensing of Forest Environments. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0306-4_2

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  • DOI: https://doi.org/10.1007/978-1-4615-0306-4_2

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