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Journal of Applied Remote Sensing

Improved method for estimating tree crown diameter using high-resolution airborne data
Author(s): Olga Brovkina; Iscander S. Latypov; Emil Cienciala; Tomas Fabianek
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Paper Abstract

Automatic mapping of tree crown size (radius, diameter, or width) from remote sensing can provide a major benefit for practical and scientific purposes, but requires the development of accurate methods. This study presents an improved method for average tree crown diameter estimation at a forest plot level from high-resolution airborne data. The improved method consists of the combination of a window binarization procedure and a granulometric algorithm, and avoids the complicated crown delineation procedure that is currently used to estimate crown size. The systematic error in average crown diameter estimates is corrected with the improved method. The improved method is tested with coniferous, beech, and mixed-species forest plots based on airborne images of various spatial resolutions. The absolute (quantitative) accuracy of the improved crown diameter estimates is comparable or higher for both monospecies plots and mixed-species plots than the current methods. The ability of the improved method to produce good estimates for average crown diameters for monoculture and mixed species, to use remote sensing data of various spatial resolution and to operate in automatic mode promisingly suggests its applicability to a wide range of forest systems.

Paper Details

Date Published: 12 April 2016
PDF: 12 pages
J. Appl. Remote Sens. 10(2) 026006 doi: 10.1117/1.JRS.10.026006
Published in: Journal of Applied Remote Sensing Volume 10, Issue 2
Show Author Affiliations
Olga Brovkina, Global Change Research Centre AS CR, v.v.i. (Czech Republic)
Iscander S. Latypov, Saint-Petersburg Scientific Research Ctr. for Ecological Safety (Russian Federation)
Emil Cienciala, IFER—Institute of Forest Ecosystem Research (Czech Republic)
Tomas Fabianek, Global Change Research Centre AS CR, v.v.i. (Czech Republic)


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