Monitoring of the shallow landslide using UAV
photogrammetry and geodetic measurements
RNDr. Jakub Miřijovský, Ph.D.

This...
Research aims


Monitoring of the shallow
landslide using modern
geoinformatics methods
and technologies




Spatial di...
Study area





An area with a high incidence of landslides
Flysh layers on the bedrock (claystone, sandstone, slate)
...
Shallow landslide in Halenkovice









Continual monitoring from March 2008
Max. lenght: 140 m
Max wide: 90 m
Ar...
Previous work




Continual monitoring from March 2008
by Lukáš Marek
Stabilization of the GCPs in the area
Few geodeti...
Current work - devices





Monitoring using UAV system
Hexacopter XL
Copter with six propellers
Advantages of UAV sys...
Current work – raw data


Two sets of images



April 2013
October 2013

April 2013
Number of images
Flying altitude (m...
Current work – checking of the flight path
stability


Scheduled flight path and
real flight path



position
altitude
...
Image processing – Software and methods


Image processing was done by SfM methods




Special case of the stereophotog...
Image processing
April 2013

October 2013

Number of Tie points
Error of the image coordinates (pix)
Point density (points...
Results


Precise orthophoto from April and October

Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
Results


The precise 3D DSM
Volume: 8075 m3

Volume: 7862 m3

213 m3 difference

Second InDOG Doctoral Conference, 14th ...
Results
Point
1
2
5
6
9
10
11
12
16
17
19
20
21
22
24
25
27
28

6/2008
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

12/2008

4/200...
Results

Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
Conclusion


Monitoring of the shallow landslides can be easily done by UAV systems
and SfM methods.
High accuracy of the...
Thank you for your attention
jakub.mirijovsky@upol.cz

Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
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Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

  1. 1. Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements RNDr. Jakub Miřijovský, Ph.D. This presentation is co-financed by the European Social Fund and the state budget of the Czech Republic
  2. 2. Research aims  Monitoring of the shallow landslide using modern geoinformatics methods and technologies   Spatial distribution and volumes of the soil in the landslide Effect of precipitation on the speed of movements Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  3. 3. Study area     An area with a high incidence of landslides Flysh layers on the bedrock (claystone, sandstone, slate) Shallow landslide is near the Halenkovice village 49° 10.202’ N, 17° 27.413’ E Source: Český úřad zeměměřický a katastrální Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  4. 4. Shallow landslide in Halenkovice        Continual monitoring from March 2008 Max. lenght: 140 m Max wide: 90 m Area: 7 000 m2 Elevation difference: 35 m Inclination: 10°-15° First activity – March 2006 Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  5. 5. Previous work    Continual monitoring from March 2008 by Lukáš Marek Stabilization of the GCPs in the area Few geodetic measurements Photos: Lukáš Marek archive Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  6. 6. Current work - devices     Monitoring using UAV system Hexacopter XL Copter with six propellers Advantages of UAV systems    Operability Relatively cheap technology Spatial resolution from 1 cm Technical specifications - Hexakopter Action range 1 km Flight Altitude 5 - 500 m Take off and landing 0m Curb weight 1,5 kg Speed flight 0 - 20 km/h Autonomy Up to 30 min. Wind condition 0 - 30 km/h Wingspan size - Engine Electric Payload 1,5 kg Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  7. 7. Current work – raw data  Two sets of images   April 2013 October 2013 April 2013 Number of images Flying altitude (m) Ground sample distance (cm) Number of Ground control points October 2013 52 83 2 23 Number of images Flying altitude (m) Ground sample distance (cm) Number of Ground control points Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc 48 90 2 18
  8. 8. Current work – checking of the flight path stability  Scheduled flight path and real flight path   position altitude Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  9. 9. Image processing – Software and methods  Image processing was done by SfM methods   Special case of the stereophotogrammetry (multiple views of the object) Agisoft Photoscan professional software 1. Photos aligning 2. Dense point cloud 3. Classification of the point cloud 4. DSM creation – 2 900 000 vertices Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  10. 10. Image processing April 2013 October 2013 Number of Tie points Error of the image coordinates (pix) Point density (points/m2) The average error in Z (m) The standard deviation (m) RMSEZ (m) 195 431 0.660 1912 1.939 × 10-5 0.033 0.033 Number of Tie points Error of the image coordinates (pix) Point density (points/m2) The average error in Z (m) The standard deviation (m) RMSEZ (m) Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc 184 131 0.807 1820 2.0 × 10-4 0.026 0.026
  11. 11. Results  Precise orthophoto from April and October Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  12. 12. Results  The precise 3D DSM Volume: 8075 m3 Volume: 7862 m3 213 m3 difference Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  13. 13. Results Point 1 2 5 6 9 10 11 12 16 17 19 20 21 22 24 25 27 28 6/2008 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12/2008 4/2009 5/2009 3/2010 4/2011 0.118 0.064 0.056 0.103 × 0.111 0.042 0.079 0.159 × 0.040 0.015 0.003 0.028 × 0.055 0.067 0.069 0.045 × 0.371 0.066 × 0.095 0.083 0.119 × 0.120 0.079 0.157 2.665 0.093 0.027 0.070 0.070 0.033 0.030 × 0.056 0.049 0.011 0.017 0.033 0.024 0.014 0.037 0.056 0.030 0.078 0.020 0.039 0.259 0.043 0.088 0.152 0.071 0.053 0.038 0.024 0.013 0.104 0.023 0.054 0.090 6.739 5.941 7.169 × 0.144 0.065 0.101 0.062 0.057 0.131 × × 0.074 0.033 0.132 5.841 × 4.527 × × × × 1.533 × × 6.053 10/2012 3/2013 0.035 0.036 1.169 0.422 4.521 0.331 0.067 0.080 5.399 0.194 0.019 0.033 3.131 0.022 0.127 0.160 0.085 0.329 Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc 0.016 0.024 0.049 0.046 0.025 0.065 0.046 0.045 0.067 0.042 0.023 0.018 0.023 0.010 0.010 0.028 × 0.067 Sum 0.746 0.314 1.425 6.644 4.546 7.665 6.308 7.669 8.300 5.104 0.211 0.274 3.347 0.191 1.965 0.289 0.192 6.784
  14. 14. Results Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  15. 15. Conclusion  Monitoring of the shallow landslides can be easily done by UAV systems and SfM methods. High accuracy of the GCPs is very important.  Pros       Fast monitoring Very precise method 3D DSM (DTM) model and orthophoto in one step Relatively cheap technology Cons    Vegetation limits the creation of a precise model (especially DTM) Local law restrictions for aerial imaging using UAV High requirements for computational time Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  16. 16. Thank you for your attention jakub.mirijovsky@upol.cz Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc

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