Towards Operative Forest Inventory by Extraction of Tree Level Information from VHR Satellite Images

Heikki Astola, Heikki Ahola, Kaj Andersson, Tuomas Häme, Jorma Kilpi, Matthieu Molinier, Yrjö Rauste, Jussi Rasinmäki

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

    Abstract

    The work related to this paper is part of an on-going study called NewForest - Renewal of Forest Resource Mapping. In this study the methodologies developed for individual tree crown (ITC) recognition and crown width estimation will be combined with forest variable estimates that are produced using features calculated from segmented VHR satellite image. A field visit to Karttula, Eastern Finland, was conducted to collect the class and geo-location information for 1164 ground objects (900 trees and 264 non-tree objects). These data were used for the classifier model and feature selection and for species classification accuracy assessment. For testing the classifier ability to predict tree species proportions, an independent set of 178 forest field inventory plots was used. Seven classes were defined: pine, spruce, deciduous, shadow, open area, bare ground, green vegetation. A modified Local maximum (LM) filtering technique was used for individual tree crown (ITC) detection. The spectral signatures of an ITC were sampled with a radius of r=1.5 m around the ITC brightest pixel (feature set A). Also a set of 9 contextual features were extracted from circular neighbourhood (r=7.25 m) around the ITC (feature set B). A classifier model and feature selection was performed. A 5NN classifier provided the best overall performance in tree species classification in terms of classification accuracy and generalization. The overall classification accuracy for the seven classes was 73.8% with feature set A using 5NN classifier. With feature sets A and B combined the accuracy was 74.1%. The average RMS errors in species proportion prediction were 2.6% with feature set A and 2.5% with feature sets A and B combined.
    Original languageEnglish
    Title of host publicationProceedings of the ESA Living Planet Symposium, Bergen, Norway (ESA SP-686, December 2010)
    Place of PublicationNoordwijk, The Netherlands
    PublisherEuropean Space Agency (ESA)
    ISBN (Print)978-92-9221-250-6
    Publication statusPublished - 2010
    MoE publication typeNot Eligible
    EventESA Living Planet Symposium 2010 - Bergen, Norway
    Duration: 28 Jun 20102 Jul 2010

    Conference

    ConferenceESA Living Planet Symposium 2010
    CountryNorway
    CityBergen
    Period28/06/102/07/10

    Keywords

    • forestry
    • tree species classification

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