Application of Pattern Recognition to Volume Estimation in Forest Inventory
Abstract:Forest inventory procedures suggest application of pattern recognition to improve the accuracy of stem volume estimates from standing tree measurements. In addition to diameter and height, form is the third variable that determines the volume of trees. Trees are known to present a wide range of stem forms. The basic approach is to recognize different stem patterns in a tree population and to use them as a basis for stratified sampling. These stratified samples are then used to derive volume equations relating stem volume to diameter and, possibly, height. The advantages of this new approach are brought out by constructing and testing volume tables for Cedrus in Morocco. Forest Sci. 31:53-65.
Document Type: Journal Article
Affiliations: Centre d'Automatique, Universite des Sciences et Techniques de Lille 1, 59655 Villeneuve d'Ascq, Cedex, France, and the National School of Forest Engineers, E.N.F.I., B.P. 511, Sale, Maroc.
Publication date: 1985-03-01
- Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
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