Monitoring the structure parameters and damage to trees plays an important role in forest management. Remote-sensing data collected by an unmanned aerial vehicle (UAV) provides valuable resources to improve the efficiency of decision making. In this work, we propose an approach to enhance algorithms for species classification and assessment of the vital status of forest stands by using automated individual tree crowns delineation (ITCD). The approach can be potentially used for inventory and identifying the health status of trees in regional-scale forest areas. The proposed ITCD algorithm goes through three stages: preprocessing (contrast enhancement), crown segmentation based on wavelet transformation and morphological operations, and boundaries detection. The performance of the ITCD algorithm was demonstrated for different test plots containing homogeneous and complex structured forest stands. For typical scenes, the crown contouring accuracy is about 95%. The pixel-by-pixel classification is based on the ensemble supervised classification method error correcting output codes with the Gaussian kernel support vector machine chosen as a binary learner. We demonstrated that pixel-by-pixel species classification of multi-spectral images can be performed with a total error of about 1%, which is significantly less than by processing RGB images. The advantage of the proposed approach lies in the combined processing of multispectral and RGB photo images.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Individual Tree Crown Delineation for the Species Classification and Assessment of Vital Status of Forest Stands from UAV Images


    Beteiligte:
    Anastasiia Safonova (Autor:in) / Yousif Hamad (Autor:in) / Egor Dmitriev (Autor:in) / Georgi Georgiev (Autor:in) / Vladislav Trenkin (Autor:in) / Margarita Georgieva (Autor:in) / Stelian Dimitrov (Autor:in) / Martin Iliev (Autor:in)


    Erscheinungsdatum :

    2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Comparison of three individual tree crown detection methods

    Erikson, M. / Olofsson, K. | British Library Online Contents | 2005


    Extraction of individual tree crown using hyperspectral image and LiDAR data

    La, Hien Phu / Eo, Yang Dam / Chang, Anjin et al. | Online Contents | 2015


    Extraction of individual tree crown using hyperspectral image and LiDAR data

    La, Hien Phu / Eo, Yang Dam / Chang, Anjin et al. | Springer Verlag | 2014


    Extraction of individual tree crown using hyperspectral image and LiDAR data

    La, Hien Phu / Eo, Yang Dam / Chang, Anjin et al. | Springer Verlag | 2015