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Area-based assessment of forest standing volume by field measurements and airborne laser scanner data

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Airborne laser scanning (ALS) is increasingly applied as a tool for extracting forest inventory data. In recent years most applications for the assessment of forest standing volume rely on a single tree recognition approach, which generally gives satisfactory results in coniferous forests. The aim of this paper is to apply a raster-based approach for the assessment of forest standing volume based on field measurements and a Digital Canopy Model (DCM) derived from ALS data. In addition, we explore the potential of hot spot analysis of DCM data for automatic forest gap detection, as a means to improve the accuracy of the estimation of forest standing volume by traditional estimation methods.

Document Type: Research Article


Affiliations: 1: Dipartimento di Scienze dell'Ambiente Forestale e delle sue Risorse, University of Tuscia, Viterbo, Italy 2: EcoGeoFor, Laboratorio di Ecologia e Geomatica Forestale, Dipartimento di Scienze e Tecnologie per l'Ambiente e il Territorio, University of Molise, Pesche (Isernia), Italy 3: geoLAB, Laboratorio di Geomatica, Dipartimento di Scienze e Tecnologie Ambientali Forestali, University of Florence, Firenze, Italy

Publication date: October 1, 2009

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