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Improving Forest Fire Detection in California

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Abstract:

For a considerable period in the California National Forest region, it has been the custom to review and analyze the failures and successes of the critical fire suppression jobs that arise each fire season. This analysis, carried on by "Boards of Fire Review," gave increasing emphasis to one critical cause of failure, lack of effective fire detection. Failures on this score were independent of the general effectiveness of personnel and equipment and often gave a degree of futility to the most carefully drawn plans. As a local issue, decided on the ground as funds seemed to permit, the development of lookouts had resulted in forest detection systems in which little attention had been given to their function as a coordinated whole. This article describes how the complex problem of selecting and distributing lookouts for their maximum efficiency in fire control was solved.

Document Type: Journal Article

Affiliations: California Forest and Range Experiment Station

Publication date: 1935-11-01

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

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

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    Forest Science
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