References
- Cibulka, D., 2012: Uplatnenie webových služieb pri srístupňovaní a spracovaní geodát. Ph.D. dissertation, Bratislava, Stavebná fakulta, STU v Bratislave.
- Coomes, D. A., Dalponte, M., Jucker, J., Asner, G.P., Banin, L. F., Burslem, D. F. R. P.et al., 2017: Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data. Remote Sensing of Environment, 194:77–88.
- Ginzler, Ch., Waser, L. T., 2017: Entwicklungen im Bereich der Fernerkundung für forstliche Anwendungen. Schweizerische Zeitschrift für Forstwesen, 168:118–126.
- Kandare, K., Dalponte, M., Ørka, H. O., Frizzera, L., Næsset, E., 2017: Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data. Remote Sensing, 9:400.
- Lamb, S. M., MacLean, D. A., Hennigar, C. R., Pitt, D. G., 2018: Forecasting Forest Inventory Using Imputed Tree Lists for LiDAR Grid Cells and a Tree-List Growth Model. Forests, 9:167.
- Lim, E. M., Honjo, T., 2003: Three-dimensional visualization forest of landscapes by VRML. Landscape and Urban Planning, 63:175–186.
- Ma, Z., Chen, M., Zhang, B., Wang, M., Shen, C., Yue, S. et al., 2019: A web-based integrated modeling and simulation method for forest growth research. Earth and Space Science, 6:2142–2159.
- Marano, G., Langella, G., Basile, A., Cona, F., Michele, C. D., Manna, P. et al., 2019: A Geospatial decision support system tool for supporting integrated forest knowledge at the landscape scale. Forests, 10:690.
- Murgaš, V., Sačkov, I., Sedliak, M., Tunák, D., Chudý, F., 2018: Assessing horizontal accuracy of inventory plots in forests with different mix of tree species composition and development stage. Journal of Forest Science, 64:478–485.
- Panizzoni, G., Magliocchetti, D., Prandi, F., De Amicis, R., 2015: Interactive virtual planning tools for sustainable forest production in mountain areas. In: Stephanidis, C. (eds.): HCI International 2015 – Posters’ Extended Abstracts. Springer International Publishing, Cham, p. 220–225.
- Peterson, B., 2014: 3D Vegetation Library Delivers Advanced Models for Urban Design and GIS Professionals. Available at https://www.esri.com/esri-news/releases/14-1qtr/3d-vegetation-library-delivers-advanced-models-urban-design-gis-professionals. (accessed January 30, 2020).
- Petráš, R., Pajtík, J., 1991: Sústava česko-slovenských objemových tabuliek drevín. Lesnícky časopis, 37:49–56.
- Sačkov, I., Santopuoli, G., Bucha, T., Lasserre, B., Marchetti, M., 2016: Forest Inventory Attribute Prediction Using Lightweight Aerial Scanner Data in a Selected Type of Multilayered Deciduous Forest. Forests, 7:307.
- Sačkov, I., Sedliak, M., Kulla, L., Bucha, T., 2017a: Inventory of Close-to-Nature Forests Based on the Combination of Airborne LiDAR Data and Aerial Multispectral Images Using a Single-Tree Approach. Forests, 8:467.
- Sačkov, I., Hlásny, T., Bucha, T., Juriš, M., 2017b: Integration of tree allometry rules to treetops detection and tree crowns delineation using airborne lidar data. iForest, 10:459–467.
- Sačkov, I., Kulla, L., Bucha, T., 2019: A Comparison of Two Tree Detection Methods for Estimation of Forest Stand and Ecological Variables from Airborne LiDAR Data in Central European Forests. Remote Sensing, 11:1431.
- Singh, P. S., Chutia, D., Sudhakar, S., 2017: Development of a web based GIS application for spatial natural resources information system using effective open source software and standards. Journal of Geographic Information System, 4:261–266.
- Stratil, M., Renner, O., 2019: Virtual forest. In: Proceedings of GIS Ostrava 2019 – Smart City, Smart Region, Ostrava, p. 1–6.
- Surový, P., Kuželka, K., 2019: Acquisition of Forest Attributes for Decision Support at the Forest Enterprise Level Using Remote-Sensing Techniques – A Review. Forests, 10:273.
- Vauhkonen, J., Maltamo, M., McRoberts, R.E., Næsset, E., 2014: Introduction to forestry applications of airborne laser scanning. In: Maltamo, M., Næsset, E., Vauhkonen, J. (eds.): Forestry Application of Airborne Laser Scanning: Concept and Case Studies. Springer Netherlands: Dordrecht, The Netherlands, p. 1–16.
- Véga, C., Renaud, J., Durrieu, S., Bouvier, M., 2016: On the interest of penetration depth, canopy area and volume metrics to improve Lidar-based models of forest parameters. Remote Sensing of Environment, 175:32–42.
- Wang, H., Chen, X., Polys, N., Sforza, P., 2017: A web3D forest geo-visualization and user interface evaluation. In: Proceedings of ACM Web3D 2017 conference, Brisbane, QLD, Australia, p. 1–9.
- Zápotocký, M., Koreň, M., 2016: Webová aplikácia pre sprístupnenie digitálnych máp vysokoškolského lesníckeho podniku. Kartografické listy/Cartographic letters, 24:103–111.
- Zhang, Z., Cao, L., She, G., 2017: Estimating forest structural parameters using canopy metrics derived from airborne LiDAR data in subtropical forests. Remote Sensing, 9:940.