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Detection of Simulated Damage on Conifers Using Near Infrared Film

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Abstract:

False-color and normal-color films were used to photograph a planting of young conifers which had been treated by simulating animal damage at seven known levels. Photographs were taken on 12 dates from October 7, 1966 to October 30, 1967. Red-, green-, and blue-filter optical density measurements were taken on the color transparencies. Analysis of the measurements of different dye layer densities indicated that (1) the greater the level of damage, the denser was the cyan dye layer on false-color transparencies, and (2) no relationship was apparent between the levels of damage and the density of any one of the three dye layers in the normal-color film. Visual observation indicated that (1) on false-color photographs damaged trees appeared a darker magenta than the undamaged controls, (2) as long as the foliage appeared a visual green color, the false-color rendition of the foliage was reddish, and (3) on the false-color photographs young coniferous twigs appeared as light orange to magenta, while older, dead branches which, still possessed their bark appeared blue.

Document Type: Journal Article

Affiliations: Dep. of Conserv., New York State Coll. of Agr., Cornell Univ., Ithaca

Publication date: 1969-11-01

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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.

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

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