[
Akkay, A. E., Oguz, H., Karas, I. R., Aruga, K., 2009: Using LiDAR technology in forestry activities. Environmental Monitoring and Assessment, 151:117-125.
]Search in Google Scholar
[
Assmann, E., Franz, F., 1963: Vorläufige Fichten-Ertagstafel für Bayern. Fortw Centralbl, 84:1-68.
]Search in Google Scholar
[
Bavlšík, J. et al., 2009: Pracovné postupy hospodárskej úpravy lesov. Zvolen, NLC, 147 p.
]Search in Google Scholar
[
Bradley, R. T., Christie, J. M., Johnson, D. R., 1966: Forest management tables. Forestry Commission Booklet no 16. Forestry Commission, London, 212 p.
]Search in Google Scholar
[
Eysn, L., Hollaus, M., Lindberg, E., Berger, F., Monnet, J. M., Dalponte, M. et al., 2015: A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space. Forests 2015, 6:1721-1747.
]Search in Google Scholar
[
Haara, A., 2005: The uncertainty of forest management planning data in Finnish non-industrial private forestry. Academic dissertation. University of Joensuu, Finland, 34 p.
]Search in Google Scholar
[
Halaj, J., Petráš, R., 1998: Rastové tabuľky hlavných drevín. Bratislava, Slovak Academic Press, 325 p.
]Search in Google Scholar
[
Hasenauer, H., 2006: Concepts within tree growth modelling. In: Hasenauer, H. (ed.): Sustainable forest management - Growth models for Europe. Springer-Verlag Berlin Heidelberg, p. 3-17.
]Search in Google Scholar
[
Heurich, M., 2008: Automatic recognition and measurement of single trees based on data from airborne laser scanning over the richly structured natural forests of the Bavarian Forest National Park. Forest Ecology and Management, 255:2416-2433.
]Search in Google Scholar
[
Hollaus, M., Wagner, W., Eberhöfer, C., Karela, W., 2006: Accuracy of large-scale canopy heights derived from LiDAR data under operational constraints in a complex alpine environment. ISPRS Journal of Photogrammetry and Remote Sensing 2006, p. 323-338.
]Search in Google Scholar
[
IFER - Monitoring and Mapping Solutions, s. r. o., Česká republika, 2012. Available at: http://www.field-map.com.
]Search in Google Scholar
[
Kania, A., Lindberg, E., Schroiff, A., Mücke, W., Holmgren, J., Pfeifer, N., 2014: Individual Tree Detection as Input Information for Natura 2000 Habitat Quality Mapping. In: Proceedings of the Remote Sensing and GIS for Monitoring Habitat Quality - RSGIS4HQ, Vienna, Austria, 24-25 September, p. 89-91.
]Search in Google Scholar
[
Li, W., Guo, Q., Jakubowski, M.A., Kelly, M., 2012: A New Method for Segmenting Individual Trees from the Lidar Point Cloud. Photogramm Eng Remote Sens 2012, 78:75-84.
]Search in Google Scholar
[
Maltamo, M., Eerikäinen, K., Packalén, J., 2006: Estimation of stem volume using laser scanning-based canopy height metrics. Forestry, 79:217-229.
]Search in Google Scholar
[
Maltamo, M., Packalén, P., Suvanto, A., Korhonen, K.T., Mehtätalo, P., 2009: Combining ALS and NFI training data for forest management planning: a case study in Kuortane, Western Finland. European Journal of Forest Research, 128:305-317.
]Search in Google Scholar
[
Marschall, J., 1975: Hilfstafeln für die Forsteinrichtung. Österr Agrarverlag, Wien, 199 p.
]Search in Google Scholar
[
Packalén, P., Maltamo, M., 2007: The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs. Remote Sensing of Environment, 109:328-341.
]Search in Google Scholar
[
Petráš, R., Pajtík, J., 1991: Sústava česko-slovenských objemových tabuliek drevín. Lesnícky časopis-Forestry Journal, 37:49-56.
]Search in Google Scholar
[
Rossmann, J., Schluse, M., Bücken, A., Krahwinkler, P., 2007: Using airborne laser scanner data in forestry management: a novel approach to single tree delination. Proceedings of the ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007, 36:350-354.
]Search in Google Scholar
[
Sačkov, I., 2014a: Možnosti využitia nových technológií DPZ na určovanie stromových a porastových charakteristík lesa. In: Šmelko Š. et al: Nové varianty metód na viacúčelové zisťovanie a monitorovanie stavu lesných ekosystémov progresívnymi technológiami. Zvolen, NLC, 368 p.
]Search in Google Scholar
[
Sačkov, I., Bucha, T., Király, G., Brolly, G., Raši, R., 2014b: Individual tree and crown identification in the Danube floodplain forests based on airborne laser scanning data. In: Zagajevski, B., Kycko, M., Reuter, R. (eds.): Proceedings of the 34th EARSeL Symposium, Warsaw, Poland, June 17.-18.
]Search in Google Scholar
[
Saremi, H., Kumar, L., Turner, R., Stone, Ch., 2014: Airborne LiDAR derived canopy height model reveals a significant difference in radiata pine (Pinus radiata D. Don) heights based on slope and aspect of sites. Trees, 28:733-744.
]Search in Google Scholar
[
Sedmák, R., Scheer, Ľ., Marušák, R., Bošeľa, M., Sedmáková, D., Fabrika, M., 2015: An improved Weise’s rule for efficient estimation of stand quadratic mean diameter. Forests, 6:2545-2559.
]Search in Google Scholar
[
Šmelko, Š., 2007: Dendrometria. Zvolen, Vydavateľstvo TU vo Zvolene, 401 p.
]Search in Google Scholar
[
Šmelko, Š., Šebeň, V., Bošeľa, M., Merganič, J., Jankovič, J., 2008: National Forest Inventory and Monitoring of the Slovak Republic 2005-2006: Basic concept and selected summary informations. Zvolen, National Forest Centre, 16 p.
]Search in Google Scholar
[
Strimbu, V. F., Strimbu, B. M., 2015: A graph-based segmentation algorithm for tree crown extraction using airborne LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing 2015, 104:30-43.
]Search in Google Scholar
[
Vastaranta, M., Holopainen, M., Yu, X., Haapanen, R., Melkas, T., Hyyppä, J. et al., 2011: Individual tree detection and areabased approach in retrieval of forest inventory characteristics from low-pulse airborne laser scanning data. Photogrammetric Journal of Finland, 22:1-13.
]Search in Google Scholar
[
Vauhkonen, J., Ene, L., Gupta, S., Heinzel, J., Holmgren, J., Pitkänen, J. et al., 2011: Comparative testing of single-tree detection algorithms under different types of forest. Forestry, 85:27-401.
]Search in Google Scholar
[
Vega, C., Hamrouni, A., Mokhtari, S. El., Morel, J., Bock, J., Renaud, J. P. et al., 2014: PTrees: A point-based approach to forest tree extraction from lidar data. Int J. Appl Earth Obs, 33:98-108.
]Search in Google Scholar
[
Wiedemann, E., 1949: Ertragstafeln der wichtigen Holtzarten bei verschiedener urchforstung. Schaper, Hannover, 100 p.
]Search in Google Scholar
