Production of vegetation information to 3D city models from spot satellite images

Eija Parmes (Corresponding Author), Kari Rainio

    Research output: Contribution to journalArticle in a proceedings journalScientificpeer-review

    Abstract

    The paper presents a methodology to produce forest parameters and tree instances to large area 3D maps or city models from satellite images.
    The process flow includes the calibration of the satellite image, the forest parameter estimation, the generation of tree instances from the forest parameters, and the integration of the tree instances to D city model and visualisation.
    Due to the calibration, forest parameter models developed for other areas can be used in the estimation. SPOT satellite images were used to generate tree instances to a Finnish 3D city model. The number of trees/ha, the mean diameter/ha, the stem volume/ha, and the tree type (coniferous or deciduous) were estimated to each pixel of the SPOT image.
    Tree instances based on these parameters were entered to D visualisation software with the state of art city model. The results show, on one hand, the discrepancies between the 10 meter satellite image and the aerial image, like some trees on the roof or in the street.
    On the other hand, it shows the high geometric quality of the SPOT satellite image and its suitability to the production of tree instances to standard city model
    Original languageEnglish
    JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    Publication statusPublished - 2007
    MoE publication typeA4 Article in a conference publication
    EventISPRS Hannover Workshop 2007:
    High-Resolution Earth Imaging for Geospatial Information
    - Hannover, Germany
    Duration: 29 May 20071 Jun 2007

    Keywords

    • forest mapping
    • satellite imagery
    • 3D city model
    • atmospheric calibration
    • 3D visualisation

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