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Tree survey and allometric models for tiger bush in northern Senegal and comparison with tree parameters derived from high resolution satellite data
Authors:Mads Olander Rasmussen,Frank-M. Gö  ttsche,Doudou Diop,Cheikh Mbow,Folke-S. Olesen,Rasmus Fensholt,Inge Sandholt
Affiliation:1. Department of Geography and Geology, University of Copenhagen, Oester Voldgade 10, DK-1350 Copenhagen K, Denmark;2. GRAS – Geographic Resource Analysis & Science A/S, c/o Department of Geography and Geology, University of Copenhagen, Oester Voldgade 10, DK-1350 Copenhagen K, Denmark;3. Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany;4. Université Cheikh Anta Diop, Faculteé des Sciences et Techniques, Institut des Sciences de l’Environnement, BP 5005 Dakar, Senegal
Abstract:A tree survey and an analysis of high resolution satellite data were performed to characterise the woody vegetation within a 10 × 10 km2 area around a site located close to the town of Dahra in the semi-arid northern part of Senegal. The surveyed parameters were tree species, height, tree crown radius, and diameter at breast height (DBH), for which allometric models were determined. An object-based classification method was used to determine tree crown cover (TCC) from Quickbird data. The average TCC from the tree survey and the respective TCC from remote sensing were both about 3.0%. For areas beyond the surveyed areas TCC varied between 3.0% and 4.5%. Furthermore, an empirical correction factor for tree clumping was obtained, which considerably improved the estimated number of trees and the estimated average tree crown area and radius. An allometric model linking TCC to tree stem crosssectional area (CSA) was developed, which allows to estimate tree biomass from remote sensing. The allometric models for the three main tree species found performed well and had r2-values of about 0.7–0.8.
Keywords:Tree inventory   Field survey   Tree clumping   Image analysis   Allometric models   Remote sensing
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