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Application of Pattern Recognition to Volume Estimation in Forest Inventory

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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.

Keywords: Pattern analysis; automatic classification; sampling design

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: March 1, 1985

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