multi-temporal high-resolution sar for geometric ... filemulti-temporal high-resolution sar for...
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![Page 1: Multi-temporal High-resolution SAR for Geometric ... fileMulti-temporal High-Resolution SAR for Geometric Measurements and for Ground Deformation Monitoring Michael Eineder & SAR teams](https://reader030.vdocuments.mx/reader030/viewer/2022011811/5e1a9ad5c7944253a34912c4/html5/thumbnails/1.jpg)
Multi-temporal High-Resolution SAR for Geometric Measurements and for Ground Deformation
Monitoring
Michael Eineder & SAR teams Remote Sensing Technology Institute, DLR &
Technische Universität München
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Medium Resolution (5×25m2) ERS, Sentinel-1
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Very High Resolution (1.1×0.6 m2) TerraSAR-X
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• Short tutorial Accuracy of SAR geometry • Methods for error reduction • Range & azimuth measurements • Exploitation of accurate geometry
• Some recent examples from TerraSAR-X and TanDEM-X
Outline
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“Range” Measurements with SAR: How Accurate?
TX
RX
R
scattering object
range
transmit
τ
cR2
received echo:
(time)
light velocity
R? c´?
´2
2 4
cR
Rf
τ
ϕ π τ πλ
=
= ≈
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Troposphere 18 km
Ionosphere 50 -1000 km
SAR Signal Propagation and Coordinate Systems
SAR Satellite
θ
Earth Dynamics (e.g. ETRF)
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Water Vapor: Spatio-Temporal Distribution
(ENVISAT Meris Clear Sky Measurements)
Error of 2.5 m ± 20 cm; seasons, stratification
33 cm delay
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• PSI: temporal averaging expensive, slow
• Local GNSS measurements: σ < 2-4 mm simple, location restricted, 0D
• 3D ECMWF reanalysis models: σ ≈13 mm simple, global, low res., 3D
• 3D numerical model, e.g. WRF : σ < 13 mm? comp. expensive, global
• Empirical model fit 1D, assumes uncorr. h / ∆r
Tropospheric Delay Correction Methods
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MultiTemporal Tropospheric Stratification from ECMWF
X. Cong, TUM/IMF
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Mitigation of Atmospheric Delay Using ERA-Interim Data
X. Cong, TUM/IMF
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Summary: Geophysical Range Error Contributions
[m]
(X-Band)
Knowledge
X L-Band
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• Typical error sources • Not: Attittude • Timing synchronization between SAR and orbit metrology (GNSS) • SAR processor approximations (start-stop, …) • … • Calibration errors • Ionospheric gradients (C/L-Band) • Orbit angle error
• 1-2 cm achievable in X-Band
SAR Azimuth Positioning Errors
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Localizationof Points in Images
• Corner reflector: < 1/100 pixel accuracy achievable with point target analysis, e.g.
• E.g. 1.5 m CR, 1m resolution 2 mm error
• Persistent Scatterers: modified point target analysis
• < 1/100 pixel accuracy (SCR)
point3 1 0.55 [res. elem.]
SCR SCRσ
π= ≈
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Localizationof Features in Images
• Contrast / Texture: (in)coherent correlation • < 1/100 pixel accuracy (SNR)
Speckle
Image 1/2
2D Correlation
E.g. coherent snow
Feature
Image 1/2
2D Correlation
E.g. glacier crevasses
γπγ
σ21
23 −
=Narea
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VLBI GPS SAR Imaging Geodesy
“SAR as a next generation positioning method?”
GPS (90’s)
VLBI (70’s)
http://www.munich-aerospace.de/index.php/en/research/geodetic-earth-observation
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DLR‘s Geodetic SAR-Calibration Network
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-0,06-0,05-0,04-0,03-0,02-0,010,000,010,020,030,040,050,06
-0,06
-0,05
-0,04
-0,03
-0,02
-0,01 0,0
00,0
10,0
20,0
30,0
40,0
50,0
6
azim
uth
offs
et [m
]
range offset [m]
TSX (34° asc)
TerraSAR-X Slant Range Localization Accuracy
Range error: σ=10.8 mm Az. error: σ=13.0 mm
Reflector Wettzell After corrections of solid earth tides, atmospheric refraction (H2O, TEC), pole tides etc.
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Imaging Geodesy Application Examples
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Ice export velocity doubled since 1995
Video: M. Eineder Mass changes of outlet glaciers along the Nordensjköld Coast, northern Antarctic Peninsula, based on TanDEM-X satellite measurements, H. Rott et al, Geophysical Research Letters, 2014.
Drygalski Gacier: Oct. 2007 – Oct. 2008
Velocity Measurements without GCPs
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20 /18
Institut für Methodik der Fernerkundung
km 0 30
N
Marsh Gl.
Kon-Tiki Nunatak
GL
0.0
2.5
[m/d
]
Ross Ice Shelf
(L)
(T)
Plug-like shape: strong side drag
(T)
SE NW
255.5 219.0 182.5 146.0 109.5 73.0 36.5 0.0
[m/a
]
(L) Ice flow
GL
912.5 730.0 547.5 365.0 182.5 0.0
[m/a
]
Ice Surface Velocity from TerraSAR-X Nimrod Glacier
W. Abdel Jaber, D. Floricioiu, DLR-IMF
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• Helwin1: seabed attached platform installed by Siemens in the North Sea in 2013
• Converts AC power generated by wind farms into low-loss DC for transmission to land
• Closest land more than 40 km away
Applications: Offshore Platform Monitoring. Test site
Duque S. et al., Accurate Measurements Using TerraSAR-X And TanDEM-X Data Without Any Reference, IGARSS 2014, DLR-IMF
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Master Image
TerraSAR-X Staring Spotlight 4.11.2013
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Slave Image
TerraSAR-X Staring Spotlight 15.11.2013
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Applications: Offshore Platform Monitoring
Range Histogram Incoherent Cross Correlation (ICC) ICC + tropo ICC + tropo + SET ICC + tropo + SET + TOL
𝜇𝜇𝑟𝑟𝑟𝑟 = 0.7 𝑐𝑐𝑐𝑐
𝜎𝜎𝑟𝑟𝑟𝑟 = 1.1 𝑐𝑐𝑐𝑐 Duque S. et al., Accurate Measurements Using TerraSAR-X And TanDEM-X
Data Without Any Reference, IGARSS 2014, DLR-IMF
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A lamp pole near the central railway station Coordinates in the ITRF 2008 reference frame:
Diameter of ca. 20cm systematic bias, still to be considered!
3D Localization of Reflectors using Stereo-SAR
3783630.014 0.010m;y = 899035.0040 0.010m;
5038487.589 0.011m.
x
z
= ±±
= ±
Zhu X. X., et al., Automatic Large Area Reconstruction Of Building Façades From Spaceborne TomoSAR Point Clouds, IGARSS 2014, DLR-IMF
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Automated Munich processing
24.06.2015 26th IUGG General Assembly 26
Tectonic velocity result: − Subset of best 100 PS − Joint velocity estimation yields
• Geodetic Stereo SAR for about 1200 PS in the city of Munich (0.2 m)
vx [cm/y] vy [cm/y] vz [cm/y]
SAR -1.43 ± 0.05 1.85 ± 0.10 1.02 ± 0.07
GNSS -1.51 ± 0.007 1.78 ± 0.003 1.11 ± 0.008
C. Gisinger, TUM/IAPG
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Rodriguez
Data: Sentinel-1
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TanDEM-X DEMs
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TanDEM-X DEM Kamtchatka
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𝑑𝑑𝑑𝑑𝑑𝑑𝑑𝑑
= � 𝜌𝜌 ∆ℎ∆𝑑𝑑
𝐴𝐴
𝑑𝑑𝑑𝑑 Surface elevation change rate
TanDEM-X 21.04.2014 - 9.05.2011 Acceleration of surface lowering
J. Montt, South Patagonia Icefield
2011 2014 2011 - 2000
2014 - 2011
2000
A = 470.9 km2
D. Floricioiu, W. Abdel Jaber, DLR-IMF
Mass balance of glaciers from DEM differencing
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Rice Growth Monitoring using MultiTemporal DEMs
Rossi, C.; Erten, E., Paddy-Rice Monitoring Using TanDEM-X,, IEEE TGRS 2015
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High Resolution SAR Interferometry
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TerraSAR-X Google Earth
Case Study: Berlin, Central Railway Station
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+14
-14
[mm]
S. Gernhardt TUM
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Height Dependent Motion on Buildings (I)
SV Verlagsgebäude, Munich - Recently built steel-concrete
building - Height dependent
linear motion
39
S. Gernhardt, TUM (2014)
6 mm/y (vertical)
Color: Linear deformation Photo: M. Eineder
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Height Dependent Motion on Buildings (II)
Skyscraper (SV building), Munich 0.04 mm/y per meter
Reason: compaction of concrete (dehydration & creeping) ! Gernhardt G, Bamler R (2015) Structural Deformation and Non-seasonal Motion of Single Buildings in Urban Areas Revealed by PSI. Proc. Joint Urban Remote Sensing Event, Lausanne, submitted.
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SAR Tomography
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MultiTemp Multi-Angle SAR Tomography
Stadt
LOS
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Tomographic SAR Imaging of Urban Areas (>600 img.)
Gernhardt, Zhu DLR/TUM
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2D 3D SAR: Separation of Wall / Ground Reflection
Shahzad/Zhu TUM/DLR
Shahzad/Zhu TUM/DLR-IMF
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From TomoSAR Point Clouds to Objects – Faҫade
Shahzad/Zhu TUM/DLR-IMF
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From TomoSAR Point Clouds to Objects – Footprint
Shahzad/Zhu TUM/DLR-IMF
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Sentinel-1A
Cosmo-SkyMed
ALOS-2 TerraSAR-X/TanDEM-X
What comes next? MultiSensoral?