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Selecting and Interpreting High-Resolution Images

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Over the next five years, several earth-observing satellites will be launched, greatly expanding the types of image data available for forest characterization and monitoring. The question is no longer whether to use satellite imagery but how to choose among the many types available. There remains the question of turning the data into information: Is automated classification of pixels by computer algorithms really an improvement over manual interpretation of aerial photos?
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Document Type: Journal Article

Affiliations: President, Pacific Meridian Resources, 5915 Hollis Street, Emeryville, CA 94608

Publication date: 2000-06-01

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  • The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.

    2016 Impact Factor: 1.675 (Rank 20/64 in forestry)

    Average time from submission to first decision: 39.6 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Forest Science
    Other SAF Publications
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