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Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of Antarctic moss beds based on structure from motion (SfM) point clouds

Conference Paper


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Abstract


  • This study is the first to use an Unmanned

    Aerial Vehicle (UAV) for mapping moss beds in

    Antarctica. Mosses can be used as indicators for the

    regional effects of climate change. Mapping and

    monitoring their extent and health is therefore important.

    UAV aerial photography provides ultra-high resolution

    spatial data for this purpose. The aim of this study is to

    use Structure from Motion (SfM) techniques to generate a

    detailed 3D point cloud of the terrain from overlapping

    UAV photography.

Authors


  •   Lucieer, Arko (external author)
  •   Robinson, Sharon
  •   Turner, Darren (external author)

Publication Date


  • 2011

Citation


  • Lucieer, A., Robinson, S. A. & Turner, D. (2011). Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of Antarctic moss beds based on structure from motion (SfM) point clouds. 34th International Symposium on Remote Sensing of Environment

Scopus Eid


  • 2-s2.0-84879774118

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2200&context=scipapers

Ro Metadata Url


  • http://ro.uow.edu.au/scipapers/1132

Has Global Citation Frequency


Abstract


  • This study is the first to use an Unmanned

    Aerial Vehicle (UAV) for mapping moss beds in

    Antarctica. Mosses can be used as indicators for the

    regional effects of climate change. Mapping and

    monitoring their extent and health is therefore important.

    UAV aerial photography provides ultra-high resolution

    spatial data for this purpose. The aim of this study is to

    use Structure from Motion (SfM) techniques to generate a

    detailed 3D point cloud of the terrain from overlapping

    UAV photography.

Authors


  •   Lucieer, Arko (external author)
  •   Robinson, Sharon
  •   Turner, Darren (external author)

Publication Date


  • 2011

Citation


  • Lucieer, A., Robinson, S. A. & Turner, D. (2011). Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of Antarctic moss beds based on structure from motion (SfM) point clouds. 34th International Symposium on Remote Sensing of Environment

Scopus Eid


  • 2-s2.0-84879774118

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2200&context=scipapers

Ro Metadata Url


  • http://ro.uow.edu.au/scipapers/1132

Has Global Citation Frequency