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  • (-) WSL Authors = Ginzler, Christian
  • (-) Keywords = canopy height model
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Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests
Bont, L. G., Hill, A., Waser, L. T., Bürgi, A., Ginzler, C., & Blattert, C. (2020). Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests. Forest Ecology and Management, 459, 117856 (18 pp.). https://doi.org/10.1016/j.foreco.2019.117856
Impact of the acquisition geometry of very high-resolution Pléiades imagery on the accuracy of canopy height models over forested alpine regions
Piermattei, L., Marty, M., Karel, W., Ressl, C., Hollaus, M., Ginzler, C., & Pfeifer, N. (2018). Impact of the acquisition geometry of very high-resolution Pléiades imagery on the accuracy of canopy height models over forested alpine regions. Remote Sensing, 10(10), 1542 (22 pp.). https://doi.org/10.3390/rs10101542
Wall-to-wall forest mapping based on digital surface models from image-based point clouds and a NFI forest definition
Waser, L. T., Fischer, C., Wang, Z., & Ginzler, C. (2015). Wall-to-wall forest mapping based on digital surface models from image-based point clouds and a NFI forest definition. Forests, 6(12), 4510-4528. https://doi.org/10.3390/f6124386
Forest variable estimation using a high-resolution digital surface model
Järnstedt, J., Pekkarinen, A., Tuominen, S., Ginzler, C., Holopainen, M., & Viitala, R. (2012). Forest variable estimation using a high-resolution digital surface model. ISPRS Journal of Photogrammetry and Remote Sensing, 74, 78-84. https://doi.org/10.1016/j.isprsjprs.2012.08.006
Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data
Waser, L. T., Ginzler, C., Kuechler, M., Baltsavias, E., & Hurni, L. (2011). Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data. Remote Sensing of Environment, 115(1), 76-85. https://doi.org/10.1016/j.rse.2010.08.006
Potential and limits of extraction of forest attributes by fusion of medium point density LiDAR data with ADS40 and RC30 images
Waser, L. T., Ginzler, C., Kuechler, M., & Baltsavias, E. (2008). Potential and limits of extraction of forest attributes by fusion of medium point density LiDAR data with ADS40 and RC30 images. In R. Hill, J. Rosette, & J. Suárez (Eds.), Proceedings of SilviLaser 2008. 8th international conference on LiDAR applications in forest assessment and inventory (pp. 625-634). sine nomine.