@InProceedings{DevriendtCoWuBeKeVaMo:2012:ClUnFo,
               author = "Devriendt, Flore and Coillie, Frieke Van and Wulf, Robert De and 
                         Bertels, L. and Kempeneers, P. and Vandekerkhove, K. and Morsdorf, 
                         F.",
                title = "Classification of unmanaged forest reserves in Flanders (Belgium) 
                         at the tree crown level using airborne hyperspectral and LiDAR 
                         data",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Feitosa, Raul Queiroz and Costa, Gilson Alexandre Ostwald Pedro da 
                         and Almeida, Cl{\'a}udia Maria de and Fonseca, Leila Maria Garcia 
                         and Kux, Hermann Johann Heinrich",
                pages = "141--145",
         organization = "International Conference on Geographic Object-Based Image 
                         Analysis, 4. (GEOBIA).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Hyperspectral, LiDAR, Image segmentation, Crown delineation, 
                         Classification, Unmanaged forests.",
             abstract = "Focusing on unmanaged forest reserves in Flanders (Belgium), we 
                         present an approach for the generation of tree species maps at the 
                         tree crown level using hyperspectral CASI imagery and full 
                         waveform LiDAR data. Unmanaged forest reserves are characterized 
                         by growth stage diversity, high crown closure, multi-layering of 
                         the canopy and the non-existence of a pre-ordered spatial tree 
                         distribution. To be able to classify trees at the tree crown level 
                         in these highly structured closed forests, an algorithm for 
                         delineating tree crowns need to be developed that can handle a) 
                         expansive crowns with large branches exhibiting a huge amount of 
                         within-crown shadow, and b) crowns belonging to the sub-canopy 
                         that are partially overtopped or shadowed by neighbours. Using the 
                         LiDAR-derived canopy height model (CHM), a tree detection 
                         algorithm based on a Directional Local Filtering (DLF) is applied 
                         prior to crown delineation to automatically locate individual tree 
                         crowns. Tree crowns are subsequently outlined using object-based 
                         decision rules developed in eCognition. Following tree crown 
                         delineation, the mean-lit spectra derived from the hyperspectral 
                         CASI data of individual tree crowns are extracted to identify tree 
                         species.",
  conference-location = "Rio de Janeiro",
      conference-year = "May 7-9, 2012",
                 isbn = "978-85-17-00059-1",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP8W/3BT7CQS",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3BT7CQS",
           targetfile = "043.pdf",
                 type = "Forest Analysis",
        urlaccessdate = "2024, May 02"
}