Jump to year: 200920112013201420152016, 2017



  • Mapping of riparian invasive species with supervised classification of Unmanned Aerial System (UAS) imagery.
    Michez, A., Piégay, H., Jonathan, L., Claessens, H. & Lejeune, P. ,Int. J. Appl. Earth Obs. Geoinf. 44, 88–94 (2016).
  • Wing, M.G., Burnett, J., Brungardt, J., Dobler, D., Cordell, V. and Sessions, J., 2016. Search and Rescue Operations with an Unmanned HelicopterInternational Journal of Remote Sensing Applications6, pp.65-75.

Back to top


  • Automated Extraction of Forest Road Network Geometry from Aerial LiDAR.
    Beck, S. J. C., Olsen, M. J., Sessions, J. & Wing, M. G. 1, 21–33 (2015).
  • Structure from Motion ( SfM ) Photogrammetry Photogrammetric heritage.
    Micheletti, N., Chandler, J. H. & Lane, S. N. 2, 1–12 (2015).
  • Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry.
    Woodget, A. S., Carbonneau, P. E., Visser, F. & Maddock, I. P. Earth Surf. Process. Landforms 40, 47–64 (2015).
  • Drone Squadron to Take Earth Monitoring to New Heights.
    Selker, J. S., Tyler, S. W., Higgins, C. & Wing, M. Eos (Washington. DC). (2015).

Back to top


  • Investigating the geomorphological potential of freely available and accessible structure-from-motion photogrammetry using a smartphone.
    Micheletti, N., Chandler, J. H. & Lane, S. N. Earth Surf. Process. Landforms 486, n/a–n/a (2014).
  • Repeat UAV photogrammetry to assess calving front dynamics at a large outlet glacier draining the Greenland Ice Sheet.
    Ryan, J. C. et al. Cryosph. Discuss. 8, 2243–2275 (2014).
  • A Low-cost Unmanned Aerial System for Remote Sensing of Forested Landscapes.
    Wing, M., Burnett, J., Johnson, S., Akay, A. E. & Sessions, J. Int. J. Remote Sens. Appl. 4, 113–120 (2014).
  • Remote Sensing and Unmanned Aerial System Technology for Monitoring and Quantifying Forest Fire Impacts.
    Wing, M., Burnett, J. & Sessions, J. Int. J. Remote Sens. Appl. 4, 18–35 (2014).

Back to top


  • Compact Multipurpose Mobile Laser Scanning System — Initial Tests and Results.
    Glennie, C. et al. Remote Sens. 5, 521–538 (2013).
  • Eyes in the Sky: Remote Sensing Technology Development Using Small Unmanned Aircraft Systems.
    Wing, M. et al. J. For. 111, 341–347 (2013).

Back to top


  • Airborne light detection and ranging (LiDAR) for individual tree stem location, height, and biomass measurements.
    Edson, C. & Wing, M. G. Remote Sensing 3, (2011).

Back to top


  • Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle.
    Berni, J., Zarco-Tejada, P. J., Suarez, L. & Fereres, E. Geosci. Remote Sensing, IEEE Trans. 47, 722–738 (2009).

Back to top