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Documentation of the Movementof the Hinteres
Langtalkar Rock Glacier
V. Kaufmann and R. LadstädterInstitute of
Remote Sensing and PhotogrammetryGraz University
of Technology
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Contents

1. Introduction
2. Example of Morphodynamics ("Panta Rhei")
3. Method
4. Case Study
5. Conclusions and Outlook

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1. Introduction What is a rock glacier?

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1. Introduction (cont.)In 1999 IPA and ICSI
established a Task Force on Rock Glacier
Dynamics and Permafrost Creep under the
leadership of Prof. Haeberli (Geography
Department, University of Zurich).One of its
working groups was addressing the geometry and
kinematics of rock glaciers.A report (Kääb et
al. 2003) on the state-of-the-art of measurement
techniques, i.e., geodesy, photogrammetry, laser
scanning, satellite-based differential SAR
interferometry, has been prepared and was
presented at the 8th International Permafrost
Conference, Zurich, July 2003.
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2. Example of Morphodynamics
1997 1998 1999
strain rate 17x10-3 a-1
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3. Method
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Example Inner Hochebenkar rock glacier
1953rightstereo-partner
1953leftstereo-partner
1969rightstereo-partner
1969leftstereo-partner
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Software ADVM
Basic conceptAutomaticmeasurementofdisplaceme
ntvectorsinmulti-temporalpre-rectifiedimages
(pseudo-orthophotos)(Schenk et al. 1990,
Baltsavias 1996)
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Example Inner Hochebenkar rock glacier
horizontalmovement
verticalmovement
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Some comments- Multi-Photo (geometrically)
Constrained Matching (MPCM) (Grün and
Baltsavias 1988)- Adaptation of standard MPCM
for pseudo-orthophotos- Extension for
multi-temporal point transfer in image
sequences- Additional constraints on the flow
vector can be exploited (e.g. constraining the
flow vector by the DTM gradient direction)
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4. Case Study
2003
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4.1 Photogrammetric Evaluation

• Aerial photographs B/WCIR, 110,500 -
  134,4001969, 1974, 1983, 1991, 1997, 1998, 1999
• UltraScan 5000 Vexcel Imaging Austria
• DPW ImageStation Z/I Imaging
• Software ADVM(Automatic Displacement Vector
  Measurement)

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5. Conclusions and Outlook

• The spatio-temporal evolution and kinematic
  behavior ofthe rock glacier could be
  reconstructed successfully.
• The movement of the rock glacier could be
  measured with high accuracy.
• Area-based matching methods show an increased
  accuracy and robustness because of the more
  favorable geometry of the pseudo-orthophotos.
• 3D perception of motion parallaxes in
  multi-temporal pseudo-orthophotos is possible.
• Further developments will address robust matching
  in difficult areas, i.e., with low and or missing
  texture, snow patches and cast shadows.
• Method will also be applied to monitor landslides
  and debris-covered glaciers.

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For further information please contact
Viktor KaufmannInstitute of Remote Sensing and
PhotogrammetryGraz University of
TechnologySteyrergasse 30, A-8010 GrazTel.
43 316 873-6336Fax [phone]E-mail
viktor.kaufmann_at_tugraz.athttp//www.cis.tugraz.at
/photo/viktor.kaufmann/
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