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

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  • 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. Results  Precise orthophoto from April and October Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  • 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. 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. Results Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
  • 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. Thank you for your attention jakub.mirijovsky@upol.cz Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc