Interferometric coherence and seasonal deformation characteristics analysis of saline soil based on Sentinel-1A time series imagery

doi:10.23919/JSEE.2021.000108

Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (6): 1270-1283.doi: 10.23919/JSEE.2021.000108

• RADAR DIFFERENTIAL INTERFEROMETRY TECHNIQUES AND APPLICATIONS • Previous Articles Next Articles

Interferometric coherence and seasonal deformation characteristics analysis of saline soil based on Sentinel-1A time series imagery

Rui ZHANG^1,²(), Wei XIANG¹(), Guoxiang LIU^1,^2,*(), Xiaowen WANG¹(), Wenfei MAO¹(), Yin FU¹(), Jialun CAI¹(), Bo ZHANG¹()

¹ Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
² State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Chengdu 611756, China

Received:2021-03-30 Online:2022-01-05 Published:2022-01-05
Contact: Guoxiang LIU E-mail:zhangrui@swjtu.edu.cn;xw_swjtu@foxmail.com;rsgxliu@swjtu.edu.cn;insarwxw@gmail.com;wenfeimao@my.swjtu.edu.cn;rsyinfu@my.swjtu.edu.cn;caijialun@my.swjtu.edu.cn;rsbozh@gmail.com
About author:|ZHANG Rui was born in 1982. He received his Ph.D. degree in photogrammetry and remote sensing from Southwest Jiaotong University. He is currently an associated professor with the Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University. His research interests include the development of ground deformation monitoring and early warning system, fundamental study of microware remote sensing, and synthetic aperture radar interferometry. E-mail: zhangrui@swjtu.edu.cn||XIANG Wei was born in 1989. He received his B.Eng. and M.Eng. degrees in surveying engineering from China University of Geosciences, Wuhan. Since 2017, he has been a Ph.D. student with Southwest Jiaotong University. His current research interests include geological hazard monitoring and time-series InSAR. E-mail: xw_swjtu@foxmail.com||LIU Guoxiang was born in 1968. He received his Ph.D. degree in remote sensing from Hong Kong Polytechnic University. He is currently a professor with Southwest Jiaotong University. His current research interests include InSAR, radargrammetry and digital photogrammetry. E-mail: rsgxliu@swjtu.edu.cn||WANG Xiaowen was born in 1987. He received his Ph.D. degree in photogrammetry and remote sensing from Southwest Jiaotong University. He is currently an associate professor with Southwest Jiaotong University. His current research interests include InSAR, crustal deformation measuring and modeling, and digital elevation model differencing. E-mail: insarwxw@gmail.com||MAO Wenfei was born in 1990. He received his B.Eng. and M.Eng. degrees in surveying engineering from East China University of Technology. Since 2018, he has been working toward his Ph.D. degree with Southwest Jiaotong University. His current research interests include ionospheric modeling and correcting for InSAR/TS-InSAR based on GNSS and SAR, and geological hazard monitoring. E-mail: wenfeimao@my.swjtu.edu.cn||FU Yin was born in 1994. She received her B.S. degree from Southwest Jiaotong University. She is currently working toward her Ph.D. degree with the Southwest Jiaotong University. Her research interests include image matching, multi-model remote sensing, glaciology and InSAR. E-mail: rsyinfu@my.swjtu.edu.cn||CAI Jialun was born in 1990. He received his B.Eng. and M.Eng. degrees in surveying engineering and mineral prospecting and exploration from Southwest University of Science and Technology. Since 2016, he has been a Ph.D. student with Southwest Jiaotong University. His current research interests include geological hazard monitoring, InSAR, ground-based SAR, and UAV aerial photogrammetry. E-mail: caijialun@my.swjtu.edu.cn||ZHANG Bo was born in 1989. He received his B.S. and M.S degrees in surveying engineering and disaster prevention and mitigation engineering from Southwest Jiaotong University. He is working toward his Ph.D. degree with Southwest Jiaotong University. His current research interests include radar interferometry and remote sensing glaciology. E-mail: rsbozh@gmail.com
Supported by:
This work was supported by the National Natural Science Foundation of China (41771402; 41804009), the National Key R&D Program of China (2017YFB0502700), and Sichuan Science and Technology Program (2018JY0564; 2019ZDZX0042; 2020JDTD0003)

Abstract

Abstract:

Affected by the natural environmental and human activity factors, significant seasonal differences appear on the regional scattering characteristic and ground deformation of saline soil. Interferometric decorrelation due to season replacement limits the conventional multi-temporal interferometric synthetic aperture radar (MT-InSAR) technique and its application in such areas. To extend the monitoring capability in the salt desert area, we select a vast basin of saline soil around Howz-e-Soltan Salt Lake of Iran as the study area and present an improved MT-InSAR for experimental research. Based on 131 C-band Sentinel-1A images collected between October 2014 to July 2020,1896 refined interferograms in total are selected from all interferogram candidates. Interferometric coherence analysis shows that the coherence in the saline soil area has an apparent seasonal variation, and the soil moisture affected by the precipitation may be the main factor that leads to the seasonal variation. Subsequently, the deformation characteristics of saline soil under different environmental conditions and human activity factors are compared and analyzed in detail. Related deformation mechanisms of different saline soil types are initially revealed by combining interferometric coherence, meteorological data, and engineering geological characteristics of saline soil. Related results would provide reference for the large-scale infrastructure construction engineering in similar saline soil areas.

Key words: Howz-e-Soltan Salt Lake, saline soil, multi-temporal InSAR, interferometric coherence, seasonal deformation, Sentinel-1A

Rui ZHANG, Wei XIANG, Guoxiang LIU, Xiaowen WANG, Wenfei MAO, Yin FU, Jialun CAI, Bo ZHANG. Interferometric coherence and seasonal deformation characteristics analysis of saline soil based on Sentinel-1A time series imagery[J]. Journal of Systems Engineering and Electronics, 2021, 32(6): 1270-1283.

Figures/Tables 14

Fig 1

Fig 2

Fig 3

Table 1

Fig 4

Fig 5

Fig 6

Fig 7

Fig 8

Fig 9

Fig 10

Table 2

Fig 10

Fig 11

References 36

1	CASTELLAZZI G, COLLA C, MIRANDA S, et al A coupled multiphase model for hygrothermal analysis of masonry structures and prediction of stress induced by salt crystallization. Construction and Building Materials, 2013, 41, 717- 731. doi: 10.1016/j.conbuildmat.2012.12.045
2	KONSTA-GDOUTOS M S. Monitoring and modeling concrete properties. Netherlands: Springer, 2006.
3	STIPHO A S On the engineering properties of salina soil. Quarterly Journal of Engineering Geology and Hydrogeology, 1985, 18 (2): 129- 137. doi: 10.1144/GSL.QJEG.1985.018.02.02
4	BAO W X, YANG X H, XIE Y L Research on salt expansion of representative crude saline soil under freezing and thawing cycles. Chinese Journal of Geotechnical Engineering, 2006, 28 (11): 1991- 1995.
5	BING H, HE P, ZHANG Y Cyclic freeze–thaw as a mechanism for water and salt migration in soil. Environ Earth Science, 2015, 74 (1): 675- 681. doi: 10.1007/s12665-015-4072-9
6	BROUCHKOV A. Frozen saline soils of the Arctic coast: their distribution and engineering properties. Proc. of the 8th International Conference on Permafrost, 2003: 95−100.
7	BIGGAR K W, SEGO D C The strength and deformation behaviour of model adfreeze and grouted piles in saline frozen soils. Canadian Geotechnical Journal, 1993, 30 (2): 319- 337. doi: 10.1139/t93-027
8	ARENSON L U, SEGO D C The effect of salinity on the freezing of coarse-grained sands. Canadian Geotechnical Journal, 2006, 43 (3): 325- 337. doi: 10.1139/t06-006
9	BAO W X. Study on engineering properties and engineering classification of inland Saline. Xi’an: Chang’an University, 2009. (in Chinese)
10	STEIGER M, ASMUSSEN S Crystallization of sodium sulfate phases in porous materials: the phase diagram Na₂SO₄–H ₂O and the generation of stress . Geochimica Et Cosmochimica Acta, 2008, 72 (17): 4291- 4306. doi: 10.1016/j.gca.2008.05.053
11	LAI Y M, WU D Y, ZHANG M Y Crystallization deformation of a saline soil during freezing and thawing processes. Applied Thermal Engineering, 2017, 120, 463- 473. doi: 10.1016/j.applthermaleng.2017.04.011
12	BING H, HE P Influence of freeze-thaw cycles on physical and mechanical properties of salty soil. Chinese Journal of Geotechnical Engineering, 2009, 31 (12): 1958- 1962.
13	WU Q B, ZHU Y L Experimental studies on salt expansion for coarse grain soil under constant temperature. Cold Regions Science and Technology, 2002, 34 (2): 59- 65. doi: 10.1016/S0165-232X(01)00048-9
14	ZHANG Y, FANG J H, LIU J K, et al Experimental research on physical properties of saline soil subgrade filler in Chaerhan region. Sciences in Cold and Arid Regions, 2015, 7 (3): 212- 215.
15	ZHANG Y, LIU J K, FANG J H, et al Deformation properties of chloride saline soil under action of a low-temperature environment and different loads. Sciences in Cold and Arid Regions, 2017, 9 (3): 307- 311.
16	WANG D Y, LIU J K, LI X Numerical simulation of coupled water and salt transfer in soil and a case study of the expansion of subgrade composed by saline soil. Procedia Engineering, 2016, 143, 315- 322. doi: 10.1016/j.proeng.2016.06.040
17	TAN D S, SUN Y M, HU L X, et al Salt expansion properties and mechanism of saline soil in Xinjiang section of Lanzhou-Xinjiang railway and preventive measures. Journal of the China Railway Society, 2011, 33 (9): 83- 88.
18	LIU G X, DING X L, CHEN Y Q, et al New and potential technology for observation of earth from space: synthetic aperture radar interferometry. Advance in Earth Sciences, 2000, 15 (6): 734- 740.
19	MASSONNET D, ROSSI M, CARMONA C, et al The displacement field of the landers earthquake mapped by radar interferometry. Nature, 1993, 364, 138- 142. doi: 10.1038/364138a0
20	FERRETTI A, PRATI C, ROCCA F Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry. IEEE Trans. on Geoscience and Remote Sensing, 2000, 38 (5): 2202- 2212. doi: 10.1109/36.868878
21	BERARDINO P, FORNARO G, LANARI R, et al A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Trans. on Geoscience and Remote Sensing, 2002, 40 (11): 2375- 2383. doi: 10.1109/TGRS.2002.803792
22	FAYAZI F. Sedimentological studies in the Qom area Central Iran: a, evaporites of the Howz-e-Soltan lake basin; b, sedimentology, diagenesis and porosity of the Qom formation. Norfolk, UK: University of East Anglia, 1991.
23	LAK R, TURKAMANI S M, LANGEROUDI S R Investigation of hydrogeochemical characteristics and groundwater quality of Hoz–e–Soltan Lake, Qom, Iran. Journal of Tethys, 2013, 1 (3): 189- 198.
24	CHEN Y, PENNA N T, LI Z H. Generation of real-time mode high-resolution water vapor fields from GPS observations. Journal of Geophysical Research: Atmospheres, 2017, 122(3): 2008–2025.
25	CHEN Y, LI Z H, PENNA N T Interferometric synthetic aperture radar atmospheric correction using a GPS-based iterative tropospheric decomposition model. Remote Sensing of Environment, 2017, 204, 109- 121.
26	PERISSIN D, WANG T Repeat-pass SAR interferometry with partially coherent targets. IEEE Trans. on Geoscience & Remote Sensing, 2011, 50 (1): 271- 280.
27	ZEBKER H A, VILLASENOR J Decorrelation in interferometric radar echoes. IEEE Trans. on Geoscience and Remote Sensing, 1992, 30 (5): 950- 959. doi: 10.1109/36.175330
28	ZHANG Y J, FATTAHI H, AMELUNG F Small baseline InSAR time series analysis: unwrapping error correction and noise reduction. Computers & Geosciences, 2019, 133, 104331.
29	ANSARI H, ZAN F D, BAMLER R Efficient phase estimation for interferogram stacks. IEEE Trans. on Geoscience and Remote Sensing, 2018, 56 (7): 4109- 4125. doi: 10.1109/TGRS.2018.2826045
30	FERRETTI A, FUMAGALLI A, NOVALI F, et al A new algorithm for processing interferometric data-stacks: SqueeSAR. IEEE Trans. on Geoscience and Remote Sensing, 2011, 49 (9): 3460- 3470. doi: 10.1109/TGRS.2011.2124465
31	ANSARI H, ZAN F D, BAMLER R Sequential estimator: toward efficient InSAR time series analysis. IEEE Trans. on Geoscience and Remote Sensing, 2017, 55 (10): 5637- 5652. doi: 10.1109/TGRS.2017.2711037
32	SAMIEI-ESFAHANY S, MARTINS J E, LEIJEN F V, et al Phase estimation for distributed scatterers in InSAR stacks using integer least squares estimation. IEEE Trans. on Geoscience and Remote Sensing, 2016, 54 (10): 5671- 5687. doi: 10.1109/TGRS.2016.2566604
33	COSTANTINI M A novel phase unwrapping method based on network programming. IEEE Trans. on Geoscience and Remote Sensing, 1997, 36 (3): 813- 821.
34	SEYMOUR M S, CUMMING I G. Maximum likelihood estimation for SAR interferometry. Proc. of the Geoscience and Remote Sensing Symposium, 1994: 8–12.
35	PEPE A, LANARI R On the extension of the minimum cost flow algorithm for phase unwrapping of multitemporal differential SAR interferograms. IEEE Trans. on Geoscience and Remote Sensing, 2006, 44 (9): 2374- 2383. doi: 10.1109/TGRS.2006.873207
36	ZHAO R, LI Z W, FENG G C, et al Monitoring surface deformation over permafrost with an improved SBAS-InSAR algorithm: with emphasis on climatic factors modeling. Remote Sensing of Environment, 2016, 184, 276- 287. doi: 10.1016/j.rse.2016.07.019

Satellite	Time-span	Image number	Azimuth angle/(°)	Off-nadir angle/(°)	Resolution (Range × Azimuth)/m×m	Total interferogram
Sentinel-1A	20141008-20200708	131	?169.9 (descending)	33.8	2.3×14.0	3161

Point number	Latitude/°N	Longitude/°E
T1	35.0971	51.1593
T2	35.0451	51.1504
T3	35.0182	51.1507
T4	34.9029	51.1413
T5	35.0562	51.1276
T6	35.0199	51.1432
T7	35.0293	51.0821
T8	35.0104	51.0743
T9	34.9151	51.1210
T10	34.9390	51.0849
T11	34.9474	51.0865
T12	34.9610	51.0226

Interferometric coherence and seasonal deformation characteristics analysis of saline soil based on Sentinel-1A time series imagery

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

Share this article

Figures/Tables 14

References 36

Related Articles 1

Recommended Articles

Metrics

Comments