Landslide Displacement Monitoring Using 3D Range Flow on Airborne and Terrestrial LiDAR Data

Remote Sensing

Sajid Ghuffar¹  Balázs Székely¹  Andreas Roncat¹ 

[1] Department of Geodesy and Geoinformation, Research Groups Photogrammetry and Remote Sensing, Vienna University of Technology, Gußhausstraße 27–29, A-1040 Vienna, Austria; E-Mails:

关键词: motion estimation;    laser scanning;    molasse zone;    change monitoring;   

DOI  :  10.3390/rs5062720

来源: mdpi

【 摘 要 】

An active landslide in Doren, Austria, has been studied by multitemporal airborne and terrestrial laser scanning from 2003 to 2012. To evaluate the changes, we have determined the 3D motion using the range flow algorithm, an established method in computer vision, but not yet used for studying landslides. The generated digital terrain models are the input for motion estimation; the range flow algorithm has been combined with the coarse-to-fine resolution concept and robust adjustment to be able to determine the various motions over the landslide. The algorithm yields fully automatic dense 3D motion vectors for the whole time series of the available data. We present reliability measures for determining the accuracy of the estimated motion vectors, based on the standard deviation of components. The differential motion pattern is mapped by the algorithm: parts of the landslide show displacements up to 10 m, whereas some parts do not change for several years. The results have also been compared to pointwise reference data acquired by independent geodetic measurements; reference data are in good agreement in most of the cases with the results of range flow algorithm; only some special points (e.g., reflectors fixed on trees) show considerably differing motions.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland