Aerial Volume Table for Estimating Cubic Foot Losses of White Spruce and Balsam Fir in Minnesota
Abstract:A photo sampling method for estimating cubic foot volume losses of white spruce and balsam fir required the identification and study of stand variables that could be accurately measured on large scale (1:1584) 70 mm aerial color photographs. Two photo measurements that can be made on large scale color transparencies were found to have a high correlation with cubic volumes of dead host trees (spruce-fir). These measurements are average stand height of dominant and codominant host trees and crown closure percent of host type. When these two variables were used with ground measured volumes, two multiple regression equations were developed to predict the cubic volume of dead balsam fir and white spruce in northeastern Minnesota. By combining the two regression equations (one for high volume mortality and one for low volume mortality) a useful photo volume table was constructed. The aerial volume table and the photo measurement methods reported here provide knowledge in a new concept in aerial survey techniques.
Document Type: Journal Article
Affiliations: Research Forester, Forest Insect Laboratory, U. S. Dept. Agric., Beltsville, Md.
Publication date: 1965-01-01
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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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