TY - JOUR
T1 - PHOTOGRAMMETRIC MONITORING OF GRAVITATIONAL MASS MOVEMENTS IN ALPINE REGIONS BY MARKERLESS 3D MOTION CAPTURE
AU - Lucks, L.
AU - Hirt, P. R.
AU - Hoegner, L.
AU - Stilla, U.
N1 - Publisher Copyright:
© 2022. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. All rights reserved.
PY - 2022/5/30
Y1 - 2022/5/30
N2 - Gravitational mass movements represent a significant hazard potential in Alpine regions. Due to climate change and an associated increases in extreme weather events, this risk is growing. For a better predictability of such events and the monitoring of affected areas, a precise determination of the ongoing movements is necessary. In this paper, a method for monitoring of Alpine slope movements based on image sequences is presented. By means of SIFT features, corresponding key points in the images of different epochs are found. Then, using forward section, the object coordinates of the points are computed. By using these coordinates and the detected correspondences, three-dimensional motion vectors can be determined. The calculated vectors are checked for significance based on their accuracy. The vectors found have a high spatial density compared to manually marked points and are detected automatically. In order to detect even small-scale movements, they are determined with an accuracy of a few millimeters. The data basis is a sequence of images of an active landslide on the Hochvogel mountain (Alps, Germany) which were taken in 2018 and 2021. On average, the calculated motion vectors show a movement of 75 mm.
AB - Gravitational mass movements represent a significant hazard potential in Alpine regions. Due to climate change and an associated increases in extreme weather events, this risk is growing. For a better predictability of such events and the monitoring of affected areas, a precise determination of the ongoing movements is necessary. In this paper, a method for monitoring of Alpine slope movements based on image sequences is presented. By means of SIFT features, corresponding key points in the images of different epochs are found. Then, using forward section, the object coordinates of the points are computed. By using these coordinates and the detected correspondences, three-dimensional motion vectors can be determined. The calculated vectors are checked for significance based on their accuracy. The vectors found have a high spatial density compared to manually marked points and are detected automatically. In order to detect even small-scale movements, they are determined with an accuracy of a few millimeters. The data basis is a sequence of images of an active landslide on the Hochvogel mountain (Alps, Germany) which were taken in 2018 and 2021. On average, the calculated motion vectors show a movement of 75 mm.
KW - Collinearity Equation
KW - Forward Section
KW - Mass Movements
KW - Motion Vector
KW - Rock Slope Failure
KW - SIFT Feature
UR - http://www.scopus.com/inward/record.url?scp=85132046979&partnerID=8YFLogxK
U2 - 10.5194/isprs-archives-XLIII-B2-2022-1063-2022
DO - 10.5194/isprs-archives-XLIII-B2-2022-1063-2022
M3 - Conference article
AN - SCOPUS:85132046979
SN - 1682-1750
VL - 43
SP - 1063
EP - 1069
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
IS - B2-2022
T2 - 2022 24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Commission II
Y2 - 6 June 2022 through 11 June 2022
ER -