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