• DocumentCode
    142891
  • Title

    Multi-temporal VHR coverage of riparian forest habitats — Can we perform better segmentation?

  • Author

    STRASSER, THOMAS ; Lang, Stefan

  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1077
  • Lastpage
    1080
  • Abstract
    Riparian forest habitats are biodiversity hotspots providing crucial ecological services, where Earth observation information can be used to analyze prevailing habitats, assess their quality and conservation status, as well as the change dynamics over time. Here we present advancing investigations in the Salzach river floodplain (`Salzachauen´) at the Austrian/German border, using multiannual/multiseasonal VHR data coverage. Object-based image analysis is applied to delineate forest habitats on different hierarchical levels. To enhance the stability of the basic segmentation levels, the usage of multitemporal WorldView-2 data is investigated. Based on five panchromatic bands, we created (1) temporal stable and textural homogeneous core segments and (2) edge segments caused by sensor driven data shifts and other effects.
  • Keywords
    ecology; environmental monitoring (geophysics); rivers; vegetation; vegetation mapping; Austrian/German border; Earth observation information; Salzach river floodplain; Salzachauen; biodiversity hotspots; conservation status; crucial ecological services; edge segments; hierarchical levels; multiannual/multiseasonal VHR data coverage; multitemporal VHR coverage; multitemporal WorldView-2 data; object-based image analysis; panchromatic bands; riparian forest habitats; segmentation; sensor driven data shifts; temporal stable core segments; textural homogeneous core segments; Image analysis; Image edge detection; Image segmentation; Remote sensing; Rivers; Sun; Vegetation; VHR optical satellite data; hierarchical segmentation; multitemporal composite; recording angle; viewing direction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946615
  • Filename
    6946615