“Analysis of the Time Evolution of Temporal Coherence ...

“Analysis of the Time Evolution of Temporal Coherence using COSMO

SkyMed HH and VV data” Balbarani, S.; Euillades P. A.; Euillades L. D.; Riveros N. C.

CEDIAC Institute - National University of Cuyo Mendoza - Argentina

Background

DInSAR MT-InSAR SBAS PS

Interferometric Coherence

MLE Estimator

A Priori Model

Ferretti et al. (2001)

Berardino et al. (2002)

Seymour et al. (1994) Touzi et al. (1999) Zebker et al. (1992)

2nd Generation X-band SAR Systems COSMO SkyMed (ASI)

TerraSAR-X (DLR)

X-Band Decorrelation in DTS Context ¿HH or VV?

Area of Interest

COSMO SkyMed Data Interferometric Mode StripMap HIMAGE

Tx/Rx: HH and VV

Time Span ~ June, 2010 to March, 2012

Datasets: 32 HH & 30 VV

Raw data (Level 0) – HDF5

ASI - ID2154 Proyect: “Monitoring crustal deformation in Mendoza region with X-band dual polarization data and SBAS ”

Methodology CSK Raw Data - 32 HH 30 VV

SAR Images Co-registered

Focused & Parameters

Extraction

Interferometric Products Generation

Local Slope on Range Direction

Wang et al. (2010)

All Interferometric Pairs Determination

& DEM Extraction

Temporal Coherence

Maps

Coherence Maps & Interferograms

Co-registration

Range Matrix

ROIs Definition & Empirical

Study

Geometric Coherence Maps

Temporal Term Extraction

CSK Parameters

Incidence Angle

DEM in SAR Geometry

496 HH-HH 435 VV-VV

Range and Azimuth Spectral Shift Estimation

Gatelli et al. (1994)

Regions Of Interes - ROIs Mountainous

Agricultural

Bare Soil

Urban

Results ¿Coherent Pixel?

Criteria: Threeshold: 0.25 Percentage: 30%

Pixel status in terms of Temporal Coherence

91%

84%

93%

98%

Soil Coverage

Urban & Bare Soil

Mountainous & Agrucultural Soil

Vs.

Polarization

HH

Results

Statistical Analysis Temporal Baseline

32 days 48 days 64 days

…..

16 days

S1 A1 U3

Temporal Coherence - CSK HH (8 days) Master 10/21/2010 - Slave 10/29/2010

N~40

Results

HH-Pol

VV-Pol

Box and Wisker Plots

Results

HH-Pol

VV-Pol

Results

HH-Pol

VV-Pol

Results

HH-Pol

VV-Pol

Conclusions

1

2

Quantity of Coherent Pixels in the ROIs:

X-Band Temporal Decorrelation

• HH and VV similar behavior

• Urban and bare soils versus agricultural and mountanious soils

• Slightly higher number of pixels in HH polarization

• Different Histogram Distribution in urban coverage

• Seasonal behavior in presence of vegetation

• Temporal coherence loss in distributed scatterers (4 or 5 months)

• Possible higher values of VV temporal coherence in urban area

COSMO SkyMed Temporal Decorrelation (X-Band)

References • Berardino, P., Fornaro, G., Lanari, R., Sansosti, E., 2002. A new algorithm for surface deformation monitoring based

on small baseline differential SAR interferograms. IEEE Trans. Geosci. Remote Sens. 40, 2375–2383.

• COSMO SkyMed System, 2010. Description and Userguide: http://www.e-geos.it/products/pdf/csk-user_guide.pdf

• Ferretti, A., Prati, C., Rocca, F., 2001. Permanent scatterers in SAR interferometry. Geosci. Rem. Sens. IEEE. On 39, 8–20.

• Gabriel, A.K., Goldstein, R.M., Zebker, H.A., 1989. Mapping small elevation changes over large areas: differential radar interferometry. J. Geophys. Res. Solid Earth 1978–2012 94, 9183–9191.

• Gatelli, F., Monti Guarnieri, A., Parizzi, F., Pasquali, P., Prati, C. and Rocca, F., 1999. The wavenumber shift in SAR Interferometry, IEEE Transactions on Geoscience and Remote Sensing, 32(4):855–865.

• Massonnet, D. y K. Feigl, 1998. "Radar Interferometry and its Application to Changes in the Earth's Surface." Reviews of Geophysics. Vol 36, Nº 4, pp. 441-500

• Pepe, A., Lanari, R., 2006. On the extension of the minimum cost flow algorithm for phase unwrapping of multitemporal differential SAR interferograms. Geosci. Remote Sens. IEEE Trans. On 44, 2374–2383.

• Seymour, M. S. and Cumming, I. G., 1994. Maximum Likelyhood Estimation For SAR Interferometry, in: International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 8–12 August 1994, pp. 2272–2275.

• Wang, T., Liao, M., Perissin, D., 2010. InSAR Coherence-Decomposition Analysis. IEEE Geosci. Rem. Sens. Let. 7, 156–160.

• Zebker, H.A., Villasenor, J., 1992. Decorrelation in interferometric radar echoes. Geosci. Remote Sens. IEEE Trans. On 30, 950–959.

Thank you for your attention!

[email protected]

Appendix