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Detection of Forest Diseases by Remote Sensing

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Normal color and color infrared films are becoming increasingly valuable tools for detecting symptoms of forest diseases by remote sensing. A review of recent studies shows these films can distinguish between healthy and disease-stressed vegetation in detecting air pollution injury. Dutch elm disease, oak wilt, dwarf mistletoe, ash dieback, Fomes annosus, and other diseases. Other types of remote sensors, such as multispectral photography and multispectral and thermal line-scanning techniques, are currently limited in application.

Document Type: Journal Article

Affiliations: Principal Plant Pathologist, Pacific SW Forest and Range Exp. Sta., U.S. Forest Service, Berkeley, Calif.

Publication date: January 1, 1973

More about this publication?
  • 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.

    2015 Impact Factor: 1.476
    Ranking: 22 of 66 in forestry

    Also published by SAF:
    Forest Science
    Other SAF Publications
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