jakub miřijovský - monitoring of the shallow landslide using uav photogrammetry and geodetic...

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This presentation is co-financed by the European Social Fund and the state budget of the Czech Republic Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements RNDr. Jakub Miřijovský, Ph.D.

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Page 1: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

This presentation is co-financed by the European Social Fund and the state budget of the Czech Republic

Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

RNDr. Jakub Miřijovský, Ph.D.

Page 2: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

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

Page 3: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

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

Page 4: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

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

Page 5: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

Previous work

Continual monitoring from March 2008 by Lukáš Marek

Stabilization of the GCPs in the area

Few geodetic measurements

Photos: Lukáš Marek archive

Page 6: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

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 0 m

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

Page 7: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

Current work – raw data

Two sets of images

April 2013

October 2013

Number of images 52

Flying altitude (m) 83

Ground sample distance (cm) 2

Number of Ground control points 23

Number of images 48

Flying altitude (m) 90

Ground sample distance (cm) 2

Number of Ground control points 18

April 2013 October 2013

Page 8: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

Current work – checking of the flight path stability

Scheduled flight path and real flight path

position

altitude

Page 9: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

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

Page 10: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

Number of Tie points 195 431

Error of the image coordinates (pix) 0.660

Point density (points/m2) 1912

The average error in Z (m) 1.939 × 10-5

The standard deviation (m) 0.033

RMSEZ (m) 0.033

Number of Tie points 184 131

Error of the image coordinates (pix) 0.807

Point density (points/m2) 1820

The average error in Z (m) 2.0 × 10-4

The standard deviation (m) 0.026

RMSEZ (m) 0.026

April 2013 October 2013

Image processing

Page 11: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

Results

Precise orthophoto from April and October

Page 12: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

Results

The precise 3D DSM

Volume: 8075 m3 Volume: 7862 m3

213 m3 difference

Page 13: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

Results

Point 6/2008 12/2008 4/2009 5/2009 3/2010 4/2011 10/2012 3/2013 Sum

1 0 0.118 0.111 0.040 0.055 0.371 0.035 0.016 0.746

2 0 0.064 0.042 0.015 0.067 0.066 0.036 0.024 0.314

5 0 0.056 0.079 0.003 0.069 × 1.169 0.049 1.425

6 0 0.103 0.159 0.028 0.045 5.841 0.422 0.046 6.644

9 0 × × × × × 4.521 0.025 4.546

10 0 0.095 0.120 0.056 0.259 6.739 0.331 0.065 7.665

11 0 0.083 0.079 0.049 0.043 5.941 0.067 0.046 6.308

12 0 0.119 0.157 0.011 0.088 7.169 0.080 0.045 7.669

16 0 × 2.665 0.017 0.152 × 5.399 0.067 8.300

17 0 0.144 0.093 0.033 0.071 4.527 0.194 0.042 5.104

19 0 0.065 0.027 0.024 0.053 × 0.019 0.023 0.211

20 0 0.101 0.070 0.014 0.038 × 0.033 0.018 0.274

21 0 0.062 0.070 0.037 0.024 × 3.131 0.023 3.347

22 0 0.057 0.033 0.056 0.013 × 0.022 0.010 0.191

24 0 0.131 0.030 0.030 0.104 1.533 0.127 0.010 1.965

25 0 × × 0.078 0.023 × 0.160 0.028 0.289

27 0 × 0.033 0.020 0.054 × 0.085 × 0.192

28 0 0.074 0.132 0.039 0.090 6.053 0.329 0.067 6.784

Page 14: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

Results

Page 15: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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 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

Page 16: Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammetry and geodetic measurements

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

Thank you for your attention

[email protected]