Three methods of estimating tree attributes using remote sensing data
SSIP'07 Proceedings of the 7th WSEAS International Conference on Signal, Speech and Image Processing
Classification of floodplain vegetation by data fusion of spectral (CASI) and LiDAR data
International Journal of Remote Sensing
International Journal of Remote Sensing - 3D Remote Sensing in Forestry
WSEAS Transactions on Signal Processing
Using remote data mining on LIDAR and imagery fusion data to develop land cover maps
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
The generation of 3d tree models by the integration of multi-sensor data
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Combining LiDAR intensity with aerial camera data to discriminate agricultural land uses
Computers and Electronics in Agriculture
Point-based rendering optimization with textured meshes for fast LiDAR visualization
Computers & Geosciences
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This paper describes the use of aerial photography and airborne LiDAR to estimate individual tree heights in forest stands. The advantages and disadvantages in the use of LiDAR systems are revised and a data fusion analysis with digital aerial photography is proposed. An example of the use of these techniques in a forested area in Scotland is presented. An algorithm has been developed to extract a high-resolution digital terrain model of the bare ground. This provided a tree canopy model as the difference between the laser first pulse and the model of the underlying terrain. Information about individual trees was obtained by image segmentation and classification. This analysis provided a good method of estimating individual tree canopies and heights.