Incorporation of Allometry into Single-tree Remote Sensing with Lidar and Multiple Aerial Images
نویسنده
چکیده
A complete single-tree remote sensing (STRS) system is presented and a restricted test of performance is given. The system can be used for solving the tasks of STRS: tree positioning, height estimation species recognition, crown width estimation and estimation of the stem dimensions. The system is based on a semi-automatic approach and where automatic solutions fail, operator input is used. Knowledge in the allometry of trees is used in setting initial approximations for model-based reconstruction and in finding gross errors in observations. Multi-scale template matching is applied in simultaneous 3D treetop positioning and image-based crown width estimation. A concept of using crown modeling in combination with a relatively sparse LiDAR data is presented. The need for very high-density LiDAR is reduced, when the image-based 3D treetop positioning and species recognition are done prior to the LiDAR-based crown shape estimation as allometric constraints can be applied.
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