persistent scatterer sar interferometry application.pptx
DESCRIPTION
TRANSCRIPT
PERSISTENT SCATTERER SAR INTERFEROMETRY APPLICATION ON BERKELEY HILLS LANDSLIDES
Ling Lei1,2, Yinqing Zhou1, Jingwen Li, Roland Bürgmann2
1 Beijing University of Aeronautics and Astronautics(Beihang University)
2 Berkeley Seismological Lab, University of California
Background: Bay Area and Berkeley Hills
Background: What is InSAR Interferometric
Synthetic Aperture Radar
Two SAR images of the same area at two different times are required
Data are processed into complex interfeorgram
InSAR uses the phase difference information
Limitations of Conventional InSAR
Decorrelation (Temporal and Geometric)
Unwrapping errors
Residual topographic signal
Variation in atmospheric signal delay
Orbit errors
intflattopodefo atmbaselinenoise
Persistent Scatterer InSAR
Potential method of time series analysis
Independent from surrounding incoherent
pixels, applicable in vegetated areas
Elevation values with sub-m accuracy and
surface movements with mm accuracy
Persistent Scatterers
Distributed Scatterer Persistent Scatterer
Pixel Phase
Persistent Scatterer InSAR
Exploits spatial correlation of the deformation signal
Start with single master series of interferograms, with phase reduced using DEM, we are left with
intdefoatm△topo△orbitnoise
Correlated spatially
Correlated with perpendicular baseline
Data Sets
Satellite Time period Number of images
ERS1 and ERS2 1992-2000 22
Envisat 2003-2007 23
TerraSAR-X Strip_003 2010-2011 20
TSX Spot_049 2008-2010 19
TSX Spot_075 2008-2010 18
Amplitude Image
Temporal and Perpendicular Baseline
92/5/6
92/8/19
93/1/6
93/6/30
95/9/1
95/11/11
96/3/29
96/3/30
96/8/17
98/4/4
98/7/18
98/8/22
98/9/26
98/10/31
99/1/9
99/2/13
99/4/24
99/5/29
99/7/3
99/8/7
99/9/11
99/10/16
99/11/20
96/12/25
00/1/29
00/6/17
00/7/22
00/11/4
Series1
284
52
-546
-233
-134
210
-380
-489
-170
-392
-663
-302
678
874
-923
902
-75
795
0711
-584
-128
-262
451
78
-68
-293
202
-1250
-750
-250
250
750
1250
ERS
Base
line(m
)
03/1/18
03/5/3
03/9/20
03/11/29
04/2/7
04/4/17
05/4/2
05/5/7
05/6/11
06/2/11
06/3/18
06/4/22
06/5/27
06/7/1
06/8/5
06/10/14
06/11/18
06/12/23
07/7/21
07/8/25
07/9/29
07/11/3
07/12/8
Series1
-282
1238
205
7 -116
149
-617
584
-213
-519
283
0 -627
701
898
-357
-687
322
-114
87
-301
142
-570
-750
-250
250
750
1250
Envisat
Base
line(m
)
Temporal and Perpendicular Baseline
10/2/20
10/3/25
10/4/16
10/4/27
10/5/30
10/6/10
10/7/2
10/7/24
10/8/15
10/8/26
11/1/16
11/1/27
11/2/7
11/2/18
11/3/1
11/3/23
11/4/14
11/4/25
11/5/6
11/5/17
Series1
-166
-25
-127
8123
200
-60
-144
-10
231
0-197
-116
55
12
-150
9-163
30
-70
-250
-150
-50
50
150
250
TSX Strip_003
Base
line(m
)
Temporal and Perpendicular Baseline
Temporal and space baselines
2008/11/21
2008/12/24
2009/2/28
2009/4/13
2009/7/21
2009/8/23
2009/10/6
2009/11/8
2009/11/30
2009/12/11
2009/12/22
2010/1/2
2010/1/13
2010/1/24
2010/2/4
2010/2/15
2010/2/26
2010/3/9
2010/3/20
Series1
0-290
-26
-13
-16
-31
-63
39
-72
43
-60
-185
-163
-97
5-30
-98
32
-65
-325
-275
-225
-175
-125
-75
-25
25
75
Spot_049
Base
line(m
)
Temporal and space baselines
11/23/2008
12/26/2008
3/2/2009
4/15/2009
7/23/2009
9/5/2009
10/8/2009
11/10/2009
12/2/2009
12/13/2009
12/24/2009
1/4/2010
1/15/2010
2/6/2010
2/17/2010
2/28/2010
3/11/2010
3/22/2010
Series1
0697
64
25
133
201
39
-5
-49
119
123
133
23
186
153
145
-75
-25
25
75
125
175
225
Spot_075
Base
line()
m
Envisat interferograms
Wrapped interferograms
Unwrapped interferograms
Envisat: Mean Velocity Map
ERS: Mean Velocity Map
TSX Strip data: Mean Velocity Map
ERS Radarsat
Strip_003 Spot_049 Spot_075
Conclusion and Future workThe application of PS-InSAR approach
(StaMPS) has successfully detected thousands of persistent scatterers depending on SAR data.
The PS-InSAR can measure surface motions at mm/yr and can resolve very small-scale features.
Future work is to continue to monitor Hayward fault creep and Berkeley landslides with TSX data and resolve fully three-dimensional motions of the landslides.
Thank you for your attention!