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Preliminary communication

TREE SPECIES CLASSIFICATION USING WORLDVIEW-2 SATELLITE IMAGES AND LASER SCANNING DATA IN A NATURAL URBAN FOREST

Andrej Verlič ; Dr. Tisa / Slovenian Forestry Institute, Ljubljana, Slovenia
Nataša Đurić ; Slovenian Centre of Excellence for Space Sciences and Technologies SPACE-SI, Ljubljana, Slovenia
Žiga Kokalj ; Slovenian Centre of Excellence for Space Sciences and Technologies SPACE-SI / Research Centre of the Slovenian Academy of Sciences and Arts, Ljubljana, Slovenia
Aleš Marsetič ; Slovenian Centre of Excellence for Space Sciences and Technologies SPACE-SI / Research Centre of the Slovenian Academy of Sciences and Arts, Ljubljana, Slovenia
Primož Simončič ; Slovenian Forestry Institute, Ljubljana, Slovenia
Krištof Oštir ; Slovenian Centre of Excellence for Space Sciences and Technologies SPACE-SI / Research Centre of the Slovenian Academy of Sciences and Arts, Ljubljana, Slovenia

Fulltext: english, pdf (769 KB) pages 477-488 downloads: 742* cite
APA 6th Edition
Verlič, A., Đurić, N., Kokalj, Ž., Marsetič, A., Simončič, P. & Oštir, K. (2014). TREE SPECIES CLASSIFICATION USING WORLDVIEW-2 SATELLITE IMAGES AND LASER SCANNING DATA IN A NATURAL URBAN FOREST. Šumarski list, 138 (9-10), 477-488. Retrieved from https://hrcak.srce.hr/133541
MLA 8th Edition
Verlič, Andrej, et al. "TREE SPECIES CLASSIFICATION USING WORLDVIEW-2 SATELLITE IMAGES AND LASER SCANNING DATA IN A NATURAL URBAN FOREST." Šumarski list, vol. 138, no. 9-10, 2014, pp. 477-488. https://hrcak.srce.hr/133541. Accessed 17 Oct. 2019.
Chicago 17th Edition
Verlič, Andrej, Nataša Đurić, Žiga Kokalj, Aleš Marsetič, Primož Simončič and Krištof Oštir. "TREE SPECIES CLASSIFICATION USING WORLDVIEW-2 SATELLITE IMAGES AND LASER SCANNING DATA IN A NATURAL URBAN FOREST." Šumarski list 138, no. 9-10 (2014): 477-488. https://hrcak.srce.hr/133541
Harvard
Verlič, A., et al. (2014). 'TREE SPECIES CLASSIFICATION USING WORLDVIEW-2 SATELLITE IMAGES AND LASER SCANNING DATA IN A NATURAL URBAN FOREST', Šumarski list, 138(9-10), pp. 477-488. Available at: https://hrcak.srce.hr/133541 (Accessed 17 October 2019)
Vancouver
Verlič A, Đurić N, Kokalj Ž, Marsetič A, Simončič P, Oštir K. TREE SPECIES CLASSIFICATION USING WORLDVIEW-2 SATELLITE IMAGES AND LASER SCANNING DATA IN A NATURAL URBAN FOREST. Šumarski list [Internet]. 2014 [cited 2019 October 17];138(9-10):477-488. Available from: https://hrcak.srce.hr/133541
IEEE
A. Verlič, N. Đurić, Ž. Kokalj, A. Marsetič, P. Simončič and K. Oštir, "TREE SPECIES CLASSIFICATION USING WORLDVIEW-2 SATELLITE IMAGES AND LASER SCANNING DATA IN A NATURAL URBAN FOREST", Šumarski list, vol.138, no. 9-10, pp. 477-488, 2014. [Online]. Available: https://hrcak.srce.hr/133541. [Accessed: 17 October 2019]

Abstracts
A detailed tree species inventory is needed to sustainably manage a natural, mixed, heterogeneous urban forest. An object-based image analysis of a combination of high-resolution WorldView-2 multi-spectral satellite imagery and airborne laser scanning (LiDAR) data was tested for classification of individual tree crowns of five different tree species. The model training data were obtained from a systematic grid of plots in the forest. In total, 304 coniferous (Norway spruce and Scots pine) and 270 deciduous (European beech, Sessile and Pedunculate oak (combined), and Sweet chestnut) trees were identified in the field. The classification was performed by applying the support vector machine model. An accuracy assessment was performed by calculating a confusion matrix to evaluate the accuracy of the classification output by comparing the classification result to the independent test data. The overall accuracy of the classification was 58 %.

Keywords
green infrastructure; ground truth data; spectral signature; tree species mapping; tree species inventory; forest monitoring

Hrčak ID: 133541

URI
https://hrcak.srce.hr/133541

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