Monitoring of long-term land subsidence from 2003 to 2017 in coastal area of Semarang, Indonesia by SBAS DInSAR analyses using Envisat-ASAR, ALOS-PALSAR, and Sentinel-1A SAR data

Since the introduction of the persistent scatterer technique (PS-InSAR) in the early 1999, the applicability of radar interferometry has increased considerably.In this research, PS-InSAR technique is proposed to retrieve the volume change of long-term continuously land deformation. This technique is used to analyze subsidence in Bandung City, West Java-Indonesia by assessing 19 ALOS PALSAR images (Japanese L band spaceborne) during the periods of July 2007-February 2011. In this research, data are optimized by reducing set data images with iterative PS-InSAR processing. This PS-InSAR processing chain based on a rigid quality assessment of the estimated parameter like minimum coherence (0.9) and PS density point (200), in order to get an optimum quality of light PS-InSAR (LPS-InSAR) concept technique. Moreover, a strict quality validation of PS-InSAR with other geodetic techniques such as DInSAR and GPS methods. The result of validation has resulted such as 1,4 ± 1,4 cm/year (PS InSAR-DInSAR) and 1,6 ± 0,7 cm/year (PS-InSAR-GPS). For land subsidence velocity in Bandung City has results between 0,6 ± 0,4 cm/year and 2,1 ± 1,2 cm/year. This research shows a capability of data optimalization in PS-InSAR technique as basic concept of LPS-InSAR processing.

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Long-Term Spatiotemporal Evolution of Land Subsidence in Konya Metropolitan Area (Turkey) Based on Multi-Sensor SAR Data

TURKISH JOURNAL OF EARTH SCIENCES ◽

10.3906/yer-2104-22 ◽

2021 ◽

Keyword(s):

Metropolitan Area ◽

Land Subsidence ◽

Spatiotemporal Evolution ◽

Sar Data

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Different scale land subsidence and ground fissure monitoring with multiple InSAR techniques over Fenwei basin, China

Proceedings of the International Association of Hydrological Sciences ◽

10.5194/piahs-372-305-2015 ◽

2015 ◽

Vol 372 ◽

pp. 305-309 ◽

Cited By ~ 3

Author(s):

C. Zhao ◽

Q. Zhang ◽

C. Yang ◽

J. Zhang ◽

W. Zhu ◽

...

Keyword(s):

Land Subsidence ◽

Large Scale ◽

Deformation Gradient ◽

Small Scale ◽

Ground Fissure ◽

Envisat Asar ◽

Persistent Scatterers ◽

Sar Data ◽

Large Scale Land ◽

Sbas Insar

Abstract. Fenwei basin, China, composed by several sub-basins, has been suffering severe geo-hazards in last 60 years, including large scale land subsidence and small scale ground fissure, which caused serious infrastructure damages and property losses. In this paper, we apply different InSAR techniques with different SAR data to monitor these hazards. Firstly, combined small baseline subset (SBAS) InSAR method and persistent scatterers (PS) InSAR method is used to multi-track Envisat ASAR data to retrieve the large scale land subsidence covering entire Fenwei basin, from which different land subsidence magnitudes are analyzed of different sub-basins. Secondly, PS-InSAR method is used to monitor the small scale ground fissure deformation in Yuncheng basin, where different spatial deformation gradient can be clearly discovered. Lastly, different track SAR data are contributed to retrieve two-dimensional deformation in both land subsidence and ground fissure region, Xi'an, China, which can be benefitial to explain the occurrence of ground fissure and the correlation between land subsidence and ground fissure.

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Multi-Sensor InSAR Analysis of Progressive Land Subsidence over the Coastal City of Urayasu, Japan

Remote Sensing ◽

10.3390/rs10081304 ◽

2018 ◽

Vol 10 (8) ◽

pp. 1304 ◽

Cited By ~ 13

Author(s):

Yusupujiang Aimaiti ◽

Fumio Yamazaki ◽

Wen Liu

Keyword(s):

Synthetic Aperture Radar ◽

Survey Data ◽

Land Subsidence ◽

Ground Deformation ◽

Tohoku Earthquake ◽

Synthetic Aperture ◽

Alos Palsar ◽

The 2011 Tohoku Earthquake ◽

L Band ◽

Aperture Radar

In earthquake-prone areas, identifying patterns of ground deformation is important before they become latent risk factors. As one of the severely damaged areas due to the 2011 Tohoku earthquake in Japan, Urayasu City in Chiba Prefecture has been suffering from land subsidence as a part of its land was built by a massive land-fill project. To investigate the long-term land deformation patterns in Urayasu City, three sets of synthetic aperture radar (SAR) data acquired during 1993–2006 from European Remote Sensing satellites (ERS-1/-2 (C-band)), during 2006–2010 from the Phased Array L-band Synthetic Aperture Radar onboard the Advanced Land Observation Satellite (ALOS PALSAR (L-band)) and from 2014–2017 from the ALOS-2 PALSAR-2 (L-band) were processed by using multitemporal interferometric SAR (InSAR) techniques. Leveling survey data were also used to verify the accuracy of the InSAR-derived results. The results from the ERS-1/-2, ALOS PALSAR and ALOS-2 PALSAR-2 data processing showed continuing subsidence in several reclaimed areas of Urayasu City due to the integrated effects of numerous natural and anthropogenic processes. The maximum subsidence rate of the period from 1993 to 2006 was approximately 27 mm/year, while the periods from 2006 to 2010 and from 2014 to 2017 were approximately 30 and 18 mm/year, respectively. The quantitative validation results of the InSAR-derived deformation trend during the three observation periods are consistent with the leveling survey data measured from 1993 to 2017. Our results further demonstrate the advantages of InSAR measurements as an alternative to ground-based measurements for land subsidence monitoring in coastal reclaimed areas.

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Integrating interferometric SAR data with levelling measurements of land subsidence using geostatistics

International Journal of Remote Sensing ◽

10.1080/0143116021000023880 ◽

2003 ◽

Vol 24 (18) ◽

pp. 3547-3563 ◽

Cited By ~ 10

Author(s):

Y. Zhou ◽

A. Stein ◽

M. Molenaar

Keyword(s):

Land Subsidence ◽

Sar Data ◽

Interferometric Sar

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Land subsidence and hydrodynamic compaction of sedimentary basins

Hydrology and Earth System Sciences ◽

10.5194/hess-2-159-1998 ◽

1998 ◽

Vol 2 (2/3) ◽

pp. 159-171 ◽

Cited By ~ 29

Author(s):

H. Kooi ◽

J. J. de Vries

Keyword(s):

Response Time ◽

Land Subsidence ◽

Sedimentary Basins ◽

Sediment Loading ◽

Dimensional Model ◽

One Dimensional ◽

Model Equations ◽

Sediment Layers ◽

The Relationship

Abstract. A one-dimensional model is used to investigate the relationship between land subsidence and compaction of basin sediments in response to sediment loading. Analysis of the model equations and numerical experiments demonstrate quasi-linear systems behaviour and show that rates of land subsidence due to compaction: (i) can attain a significant fraction (>40%) of the long-term sedimentation rate; (ii) are hydrodynamically delayed with respect to sediment loading. The delay is controlled by a compaction response time τc that can reach values of 10-5-107 yr for thick shale sequences. Both the behaviour of single sediment layers and multiple-layer systems are analysed. Subsequently the model is applied to the coastal area of the Netherlands to illustrate that lateral variability in compaction-derived land subsidence in sedimentary basins largely reflects the spatial variability in both sediment loading and compaction response time. Typical rates of compaction-derived subsidence predicted by the model are of the order of 0.1 mm/yr but may reach values in excess of 1 mm/yr under favourable conditions.

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