Volume XXXVIII-1/C22
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-1/C22, 161–166, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-161-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-1/C22, 161–166, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-161-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

  06 Sep 2012

06 Sep 2012

OPEN SOURCE IMAGE-PROCESSING TOOLS FOR LOW-COST UAV-BASED LANDSLIDE INVESTIGATIONS

U. Niethammer, S. Rothmund, U. Schwaderer, J. Zeman, and M. Joswig U. Niethammer et al.
  • Institute for Geophysics, University of Stuttgart, Göttingen

Keywords: UAVs, quad-rotor, landslide, photogrammetry

Abstract. In recent years, the application of unmanned aerial vehicles (UAVs) has become more common and the availability of lightweight digital cameras has enabled UAV-systems to represent affordable and practical remote sensing platforms, allowing flexible and high- resolution remote sensing investigations. In the course of numerous UAV-based remote sensing campaigns significant numbers of airborne photographs of two different landslides have been acquired. These images were used for ortho-mosaic and digital terrain model (DTM) generation, thus allowing for high-resolution landslide monitoring. Several new open source image- and DTM- processing tools are now providing a complete remote sensing working cycle with the use of no commercial hard- or software.