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ŠUMARSKI LIST 9-10/2014 str. 47     <-- 47 -->        PDF

TREE SPECIES CLASSIFICATION USING WORLDVIEW-2 SATELLITE IMAGES AND LASER SCANNING DATA IN A NATURAL URBAN FOREST
KLASIFIKACIJA VRSTA DRVEĆA U PRIRODNOJ URBANOJ ŠUMI KORISTEĆI WORLDVIEW-2 SATELITSKE SNIMKE I LIDAR
Andrej VERLIČp>*, Nataša ĐURIĆ, Žiga KOKALJp>, Aleš MARSETIČp>, Primož SIMONČIČ and Krištof OŠTIRp>
Summary:
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 %.
Key words: green infrastructure; ground truth data; spectral signature; tree species mapping; tree species inventory; forest monitoring
1. Introduction
Uvod
Maintaining a tree species inventory is one of the key forest management tasks. Specifically, for a close-to-nature managed natural urban forest for multiple ecosystem services, detailed information on tree species diversity and distribution is needed to assure its protection and conservation over large areas (Parviainen, 2005; Alvey, 2006; Benko and Balenović, 2011). Such a detailed information is valuable for example for protection of certain tree species or animals that inhabit them or to monitor health status of individual trees along official forest (Jurc et al., 2014) trails to prevent parts – or whole non-vital trees falling down and harming visitors.
In some European countries (e.g. Slovenia, Croatia), close-to-nature management of natural urban forest for multiple services such as nature preservation, recreation, climate mitigation,