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Progress in Physical Geography
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LiDAR remote sensing of forest structure

Kevin Lim

Department of Geography, Faculty of Arts and Science, Queen’s University, Kingston, Ontario K7L 3N6, Canada

Paul Treitz

Department of Geography, Faculty of Arts and Science, Queen’s University, Kingston, Ontario K7L 3N6, Canada

Michael Wulder

Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, 506 West Burnside Road, Victoria, British Columbia V8Z 1M5, Canada

Benoît St-Onge

Department of Geography, University of Quebec at Montreal, C.P. 8888, succ. Centre-Ville, Montréal, Québec H3C 3P8, Canada

Martin Flood

Airborne 1 Corporation, 5777 West Century Boulevard #725, Los Angeles CA 90045, USA

Light detection and ranging (LiDAR) technology provides horizontal and vertical information at high spatial resolutions and vertical accuracies. Forest attributes such as canopy height can be directly retrieved from LiDAR data. Direct retrieval of canopy height provides opportunities to model above-ground biomass and canopy volume. Access to the vertical nature of forest ecosystems also offers new opportunities for enhanced forest monitoring, management and planning.

Key Words: biomass • forest structure • laser altimetry • LiDAR • remote sensing

Progress in Physical Geography, Vol. 27, No. 1, 88-106 (2003)
DOI: 10.1191/0309133303pp360ra
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