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In addition to SAR data, 2 m Digital Elevation Models (DEM) of study areas
by Laser Profiler (LP) were used as initial dam body shapes to improve external
deformation accuracy.
2.2. EXTERNAL DEFORMATION MONITORING USING SATELLITE SAR DATA
Fig. 3 shows external deformations of nineteen rockfill dams by satellite
SAR in the line-of-sight direction from the first SAR observation to the last SAR
observation day shown in Table 1. The red arrows in Fig. 3 show the observation
directions of the ALOS-2. From the results of preliminary examinations, the multi-
look [10], [11] for noise reduction of SAR data was set at 2 x 2 pixels (a spatial
resolution of about 5m) in this paper, and the distributions of external
deformations in Fig. 3 are expressed with a spatial resolution of about 5 m.
Negative values in Fig. 3 mean that the dam surface deforms away from the
satellite and it is almost the same direction of settlement of the dam. In the case
of Dam N in Fig. 3, which showed a relatively large amount of external
deformation, it was clarified with electro-optical survey after the Kumamoto
earthquake in April 2016 that there had been settlement of several centimeters
due to the earthquake, and earthquake-induced settlement was well measured
by satellite SAR.
In order to evaluate the accuracy of satellite SAR based external
deformation monitoring, Fig. 4 shows root mean square error (RMSE)
distributions at existing GPS or electro-optical survey measurement points.
RMSE is calculated using Eq. [1].
π
π
π πΈ =β 1
π β (π’
π π΄
π
βπ’ 0)2
π
π =1 [1]
Where n is the number of satellite SAR data, uSAR is the external
deformation measured by satellite SAR, and u0 is the external deformation
measured by GPS or electro-optical survey, respectively. If GPS data has been
obtained, RMSE in Eq. [1] is calculated from the differences of external
deformations between SAR and GPS measurement values at the GPS
measurement points. If no GPS data has been obtained, external deformations
by electro-optical survey at the SAR observation days were estimated by linear
interpolation of two electro-optical survey data and RMSE was calculated from
the differences of external deformations between SAR and electro-optical survey
at the electro-optical measurement points.
Most RMSE values show less than 5 mm in Fig. 4 and it means that
external deformations by satellite SAR have good accuracy by comparing to GPS
or electro-optical survey.
Fig. 5 shows the comparisons of temporal changes of external
deformations by SAR and GPS/electro-optical survey at the existing geodetic
measurement points on the crests in the maximum cross sections of nineteen
studied dams. Although there were small variations among the results between
811
Book of Full Papers
Symposium Hydro Engineering
- Title
- Book of Full Papers
- Subtitle
- Symposium Hydro Engineering
- Author
- Gerald Zenz
- Publisher
- Verlag der Technischen UniversitΓ€t Graz
- Location
- Graz
- Date
- 2018
- Language
- English
- License
- CC BY-NC-ND 4.0
- ISBN
- 978-3-85125-620-8
- Size
- 20.9 x 29.6 cm
- Pages
- 2724
- Keywords
- Hydro, Engineering, Climate Changes
- Categories
- International
- Naturwissenschaften Physik
- Technik