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Canopy Cover Estimation in Semiarid Woodlands: Comparison of Field-Based and Remote Sensing Methods

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Canopy cover is a widely used measurement for characterizing forest structure. Numerous comparative studies have been conducted for a variety of canopy cover field methods. However, comparisons of canopy cover methodology are lacking for semiarid woodland, characterized by short-statured trees, simple vertical canopy structure, and relatively low canopy cover. Furthermore, there is limited knowledge on the compatibility between field and remote sensing methods, despite the increasing interest in scaling up canopy cover estimates from forest stands to large landscapes. In this study we investigated the use and functional similarity of various canopy cover field methods and a remote sensing method in semiarid pinyon-juniper woodlands in the Great Basin of the western United States. We compared line intercept, vertical densitometer, spherical densiometer, and crown radius methods with each other and with a remote sensing method using object-oriented image classification of digital orthophotography. Our results show that methods using a wider angular view generated higher canopy cover estimates. This difference may be greater in semiarid woodland that in mesic forest because of differences in canopy architecture. Canopy cover from remote sensing showed a nonlinear relationship with that from field-based methods. Such nonlinearities need to be considered when remote sensing is used to extrapolate canopy cover from stand to landscape scales or when field-based canopy cover estimates are used to calibrate or validate remote sensing classifications.
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Keywords: Great Basin; canopy cover; forest inventory; forest stand structure; pinyon-juniper woodland

Document Type: Research Article

Publication date: 2009-04-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
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