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.
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
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
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
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
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
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
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
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
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
Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
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 – 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
Second InDOG Doctoral Conference, 14th – 17th October 2013, Olomouc
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 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
Thank you for your attention