Airborne Laserscanning
Peer-reviewed Journal Papers
H. Buddenbaum, S. Seeling & J. Hill (2013): Fusion of full waveform LiDAR and imaging spectroscopy remote sensing data for the characterization of forest stands. International Journal of Remote Sensing, 34 (13): 4511-4524. DOI
Conference Contributions
H. Buddenbaum (2014): Derivation of Structural Forest Parameters from the Fusion of Airborne Hyperspectral and Laserscanning Data. International Workshop 3D Vegetation Mapping using Advanced Remote Sensing, Grafenau, Germany, 24-26 September 2014. (Oral presentation)
H. Buddenbaum, P. Pueschel & J. Hill (2012): Using Airborne Laser Scanning to constrain GORT Model Inversion. Silvilaser 2012, Vancouver, Canada, 16-19 September. (Oral presentation)
P. Pueschel, H. Buddenbaum & J. Hill (2011): Estimation of Leaf Area Index Based on airborne laser scanning and imaging spectroscopy. Silvilaser 2011, 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems, October 16-20, Hobart, Australia. (Poster presentation)
H. Buddenbaum & J. Hill (2010): Fusion of full waveform Lidar and hyperspectral remote sensing data for the characterization of forest stands. Silvilaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems, September 14–17, 2010, Freiburg, Germany. (Oral presentation and proceedings paper)
S. Nink, H. Buddenbaum & S. Seeling (2010): Estimating forest canopy fuel parameters using a forest information system and laser scanning data. Silvilaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems, September 14–17, 2010, Freiburg, Germany. (Poster presentation and proceedings paper)
H. Buddenbaum (2010): Fusion of waveform Laserscanning and airborne hyperspectral remote sensing data for the characterization of forest stands. General Assembly of the European Geosciences Union Vienna 2010. Geophysical Research Abstracts, Vol. 12, EGU2010-11844. (Poster presentation and proceedings abstract)
H. Buddenbaum & J. Hill (2010): Retrieval of LAI from Airborne Hyperspectral and Airborne Laser Scanner Data using a Canopy Reflectance Model. ESA Hyperspectral Workshop 2010, 17–19 March 2010, Frascati, Italy. (Oral presentation and proceedings paper)
H. Buddenbaum (2009): Fusioning Airborne Hyperspectral and Full Waveform Laserscanning Data for Forest Stand Characterization. 2nd Luxembourg Earth Observation Day, 23 October 2009, Bourglinster, Luxembourg. (Oral presentation)
H. Buddenbaum & S. Seeling (2008): Characterization of forest stands using full waveform laser scanner and airborne hyperspectral data. In: Proceedings of Silvilaser 2008: 8th international conference on LiDAR applications in forest assessment and inventory. R.A. Hill, J. Rosette & J. Suárez (Eds). September 2008. Edinburgh, UK. (Poster presentation and proceedings paper)
H. Buddenbaum (2008): Detailed Digital Elevation Models from Airborne Laser Scanning for hydrological modelling. 1st Luxembourg Earth Observation Day, 19 Nov. 2008, Bourglinster, Luxembourg. (Poster presentation)
H. Buddenbaum & S. Seeling (2007): Lidar-derived DEMs for catchment management. 1st Scientific Conference on Integrated catchment management for hazard mitigation, Trier, Germany, 24–26 September 2007. (Oral presentation and proceedings paper )
H. Buddenbaum & S. Seeling (2007): Derivation of tree height and crown closure from airborne Lidar imagery. General Assembly of the European Geosciences Union Vienna 2007, Geophysical Research Abstracts, Vol. 9, EGU2007-03304. (Poster presentation and proceedings abstract)
H. Buddenbaum & S. Seeling (2006): Estimating structural Forest Attributes using High Resolution, Airborne Hyperspectral and LIDAR Imagery. In: T. Koukal & W. Schneider (eds.): Proceedings of the International Workshop 3D Remote Sensing in Forestry, Vienna, Feb. 14–15, 2006. (Poster presentation andproceedings paper)
H. Buddenbaum & S. Seeling (2006): Comparison of Methods for deriving structural Forest Attributes from Airborne Laser Scanning Imagery. 2nd Göttingen GIS and Remote Sensing Days. (Poster presentation)