Estimating above ground biomass from terrestrial laser scanning in Australian Eucalypt Open Forest
Terrestrial laser scanning (TLS) produces 3D data with high detail and accuracy.In this paper we explore the potential of TLS data in combination with a method for reconstruction tree structure to estimate above ground biomass (AGB) in Australian eucalypt forest.Single trees are isolated from the registered TLS point cloud and are used as input for the reconstruction method.We explore the impact of different input parameters on the reconstruction and compare inferred AGB estimates from volume reconstruction and basic density with destructively sampled reference values.Based on a limited number of samples,regression analysis demonstrated R2 of 0.98 to 0.99,with an intercept of 110 kg for unfiltered TLS point clouds and 19.8 kg for filtered point clouds.These initial results demonstrate the potential of tree reconstruction from TLS for rapid,repeatable and robust AGB estimation.
Kim Calders Mathias Disney Glenn Newnham Martin Herold Simon Murphy Darius Culvenor Pasi Raumonen Andrew Burt John Armston Valerio Avitabile
Laboratory of Geo-Information Science and Remote Sensing; Wageningen University Dept. of Geography; University College London CSIRO Land and Water; Glenn Melbourne School of Land and Environment; University of Melbourne Environmental Sensing Systems Dept. of Mathematics; Tampere University of Technology Remote Sensing Centre; Department of Science, Information Technology, Innovation and the Arts;Joint
国际会议
北京
英文
90-97
2013-10-09（万方平台首次上网日期，不代表论文的发表时间）