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Fischer, Fabian Jörg The Canopy Constructor – Using Airborne Lidar to create virtual 3D inventories for biomass inference and the initialisation of individual-based forest models Talk
Fabian Jörg Fischer1, Nicolas Labrière1, Grégoire Vincent2, Bruno Hérault3,4, Alfonso Alonso5, Hervé Memiaghe6, Pulchérie Bissiengou7, David Kenfack8, Sassan Saatchi9 and Jérôme Chave1
(1) Laboratoire Évolution et Diversité Biologique, UMR 5174 (CNRS/IRD/UPS), 31062 Toulouse Cedex 9, France(2) Botanique et Modélisation de l’Architecture des Plantes et des Végétations (AMAP), UMR 5120 (CIRAD/CNRS/INRA/IRD/UM2), 34398 Montpellier Cedex 5, France(3) Cirad, Univ Montpellier, UR Forests & Societies, F-34000 Montpellier, France(4) Institut National Polytechnique Félix Houphouët-Boigny (INP-HB), Yamoussoukro, Ivory Coast(5) Center for Conservation and Sustainability, Smithsonian Conservation Biology Institute, 1100 Jefferson Drive SW, Suite 3123, Washington DC 20560-0705, USA(6) Institut de Recherche en Écologie Tropicale (IRET), Centre National de la Recherche Scientifique et Technologique (CENAREST), B.P. 13354, Libreville, Gabon(7) Herbier National du Gabon, Institut de Pharmacopée et de Médecine Traditionnelle (IPHAMETRA), Centre National de la Recherche Scientifique et Technologique (CENAREST), B.P. 13354, Libreville, Gabon(8) Center for Tropical Forest Science -Forest Global Earth Observatory, Smithsonian Tropical Research Institute, West Loading Dock, 10th and Constitution Ave NW, Washington DC 20560, USA(9) Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA

We here present a new approach, called the Canopy Constructor, which uses a combination of field inventory data and Airborne Lidar scans to create virtual 3D representations of forest stands. The approach consists of two steps: At the plot scale, the Canopy Constructor creates 3D scenes that best fit ground and airborne data and then infers the underlying forest structure (allometry, crown packing density). In a second step, the results of the first step are extrapolated over the whole lidar scene to create virtual tree inventories across thousands of hectares in a spatially explicit way. We will present results from an application to two tropical rain forests, one in French Guiana and one in Gabon, where we used the Canopy Constructor to infer forest structure, created high resolution maps of above-ground biomass and tree abundance, and validated both steps against ground data. For the French Guiana forest, we will also present first results from the coupling of the 3D reconstructions with the individual-based forest growth model TROLL. The latter opens up the possibility of translating remotely sensed forest cover data into individual tree representations and then use the process-components of the forest simulator to project the underlying ecosystem dynamics into the future.