Session 1 | Forest Mapping for Environmental Planning |
| Keynote 1: B. Koch | 3D Data for Forest and Environmental Planning | not available |
| L. T. Waser et al. | Extraction of forest parameters in a mire environment using airborne spectral data and digital surface models | |
Session 2a | Forest Canopy Modelling by Automatic DSM- and DTM-Generation |
| J. Abraham, R. Adolt | Stand height estimations using aerial images and laser scanning data | |
| A. Grün, Z. Li
| Automated generation of the 3D structure of forest canopy | |
| R. Nuske
| A retrospective study of canopy gap dynamics of a European beech stand | |
| M. Baltsavias et al.
| Tree height measurements and tree growth estimation in a mire environment using digital surface models | |
Session 2b | Terrestrial Laser Scanning |
| A. Bienert et al.
| Analysis of the information content of terrestrial laserscanner point clouds for the automatic determination of forest inventory parameters | not available |
| F. M. Danson | Three-dimensional forest canopy structure from terrestrial laser et al. scanning | |
| J. Warmink et al. | Measuring vegetation density in a forest using terrestrial laser scanning: a case study in a floodplain along the river Rhine, The Netherlands | not available |
Session 3 | Airborne Laser Scanning (1) |
| Keynote 2: J. Hyyppä, | Methods of Airborne Laser Scanning for Forest Information Retrieval | not available |
Session 4a
| Combined Use of Laser Scanning and High Spatial Resolution Reflectance Data |
| G. Kiraly, G. Brolly | Estimating forest stand parameters applying airborne laser scanning and QUICKBIRD images | |
| A. Persson et al. | Identification of tree species of individual trees by combining very high resolution laser data with multi-spectral images | |
| B. St-Onge et al. | Reconstructing forest canopy height using stereo-IKONOS panchromatic images and a Lidar DTM | |
Session 4b | Forest Information Retrieval by Inferometric SAR |
| T. Mette et al. | Viewing forest in Pol-InSAR | |
| H. Andersen | Assessing the influence of flight parameters and interferometric processing on the accuracy of X-band IFSAR-derived forest canopy surface models | |
| K. Gutjahr, M. Schardt | Retrieval of forest parameters from multi-polarimetric, multi-frequency interferometric SAR data | |
| J. Breidenbach et al. | Comparison between the use of Lidar and Radar data to calculate tree heights for forest inventories | |
Session 5 | Radiation Transfer Modelling |
| Keynote 3: A. Kuusk | Radiative Transfer in a Forest | |
| M. Thies et al.
| Predicting forest growth processes by using laserscanner derived stand models and simulating sun ecliptic | |
| B. Pinty et al.
| Synergy between 1-D and 3-D radiation transfer models to retrieve forest canopy properties from remote sensing data | |
| M. Rautiainen, P. Stenberg | Simulating the spectral signature of coniferous stands | not available |
| M. Mõttus et al.
| Calculating photon recollision probability for 3-D forest canopies | not available |
Session 6a | Airborne Laser Scanning (2) |
| Ch. Hopkinson | The influence of Lidar acquisition settings on canopy penetration and laser pulse return characteristics | not available |
| F. Morsdorf et al. | Assessment on the influence of flying height and scan angle on biophysical vegetation products derived from airborne laser scanning | |
| D. Tiede, Ch. Hoffmann | Process oriented object-based algorithms for single tree detection using laser scanning data | |
| J. Holmgren, J. Wallermann | Estimation of tree size distributions by combining vertical and horizontal distribution of laser measurements with extraction of individual trees | |
| D. Donoghue et al. | Remote sensing of species mixtures in conifer plantations using Lidar height and intensity data | |
Session 6b | Forest Parameters from Multi-angle and Hyperspectral Data |
| M. Sohlbach, Th. Schneider | Forest structure classification exploring the anisotropy information from MOMS-2P three line stereo scanner data | |
| Ph. Weihs et al. | The use of airborne hyperspectral reflectance data to characterize forest species distribution patterns | |
| G. Patenaude et al. | Using hyperspectral data and Bayesian calibration for predicting forest growth using the 3-PG model | not available |
| R. M. Lucas et al. | Forest reconstruction from Lidar and CASI data: a case study from Australia | |
Session 7 | Single Tree Detection from High Spatial Resolution Reflectance Data |
| Keynote 4: B. St-Onge | High spatial resolution imagery for forest mapping: accomplishments and challenges | not available |
| F. Hajek | Prospect of automated classification of tree species composition from IKONOS satellite imagery | |
| K. Olofsson, O. Hagner | Single tree detection in high resolution satellite images and digital aerial images using artificial neural networks and a geometric-optical forest model | |
| H. Olsson et al. | Tree species discrimination by aid of template matching applied to digital air photos | |
Session 8a | Full Waveform Laser Scanning |
| P. Rieger | Laser scanners with echo digitization for full waveform analysis | |
| V. Ducic et al. | 3D vegetation mapping and classification using full-waveform laser scanning | |
| J. Reitberger et al. | Full-Waveform analysis of small footprint airborne laser scanning data in the Bavarian forest national park for tree species classification | |
| H. Duong et al. | Analysis of repeated ICESAT full waveform data: methodology and leaf-on / leaf-off application | |
Session 8b | Application-oriented Assessment of Forest Parameters |
| L. Dorren et al.
| Assessing protection forest structure using LiDAR | |
| Ch. Straub et al.
| Standwise delineation based on 3-D information from Lidar | |
| A. Barilotti et al.
| LAI determination in forestry ecosystem by Lidar data analysis | |