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New Real-Time Landslide Monitoring System in Polish Carpathians Read chapter Read first chapter

2013 | OriginalPaper | Chapter

Advanced Image Analysis for Automated Mapping of Landslide Surface Fissures

Authors : A. Stumpf, U. Niethhammer, S. Rothmund, A. Mathieu, J. P. Malet, N. Kerle, M. Joswig

Published in: Landslide Science and Practice

Publisher: Springer Berlin Heidelberg

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Abstract

Surface fissures are potential indicators of slope instabilities and considerably influence infiltration characteristics of the soil. The increasing availability of unmanned aerial vehicles (UAVs) enables the observation of surface features at unprecedented detail and this study develops an image processing method combining Gaussian filters and object-oriented image analysis to map such features in very-high resolution (VHR) aerial images largely automatically. At three different time steps the results of the technique are compared with expert elaborated maps.

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previous chapter Landslide-Related PS Data Interpretation by Means of Different Techniques
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Metadata
Title
Advanced Image Analysis for Automated Mapping of Landslide Surface Fissures
Authors
A. Stumpf
U. Niethhammer
S. Rothmund
A. Mathieu
J. P. Malet
N. Kerle
M. Joswig
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Landslide Science and Practice

Print ISBN: 978-3-642-31444-5

Electronic ISBN: 978-3-642-31445-2

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-642-31445-2_46