Analysis of Clay-Induced Land Subsidence in Uppsala City Using Sentinel-1 SAR Data and Precise Leveling

Fryksten, Jonas; Nilfouroushan, Faramarz

doi:10.3390/rs11232764

Cited by 19 publications

(15 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The larger the number of available images, the better the quality of the PSI deformation velocity and time-series estimation, for example, at least 15-20 images for C-band sensors [38]. The PSI method is applicable in many areas, such as disaster monitoring and risk assessment, caused as a result of landslides and volcanic eruptions, earthquakes, ice sheet motion and glacier flow, and ground subsidence due to subsurface clay deposits [49] or oil and water depletion [12,50].…”

Section: Sentinel-1 Data and Analysismentioning

confidence: 99%

Satellite Monitoring of Mass Changes and Ground Subsidence in Sudan’s Oil Fields Using GRACE and Sentinel-1 Data

et al. 2020

Self Cite

View full text Add to dashboard Cite

Monitoring environmental hazards, owing to natural and anthropogenic causes, is an important issue, which requires proper data, models, and cross-validation of the results. The geodetic satellite missions, for example, the Gravity Recovery and Climate Experiment (GRACE) and Sentinel-1, are very useful in this respect. GRACE missions are dedicated to modeling the temporal variations of the Earth’s gravity field and mass transportation in the Earth’s surface, whereas Sentinel-1 collects synthetic aperture radar (SAR) data, which enables us to measure the ground movements accurately. Extraction of large volumes of water and oil decreases the reservoir pressure and form compaction and, consequently, land subsidence occurs, which can be analyzed by both GRACE and Sentinel-1 data. In this paper, large-scale groundwater storage (GWS) changes are studied using the GRACE monthly gravity field models together with different hydrological models over the major oil reservoirs in Sudan, that is, Heglig, Bamboo, Neem, Diffra, and Unity-area oil fields. Then, we correlate the results with the available oil wells production data for the period of 2003–2012. In addition, using the only freely available Sentinel-1 data, collected between November 2015 and April 2019, the ground surface deformation associated with this oil and water depletion is studied. Owing to the lack of terrestrial geodetic monitoring data in Sudan, the use of GRACE and Sentinel-1 satellite data is very valuable to monitor water and oil storage changes and their associated land subsidence over our region of interest. Our results show that there is a significant correlation between the GRACE-based GWS anomalies (ΔGWS) and extracted oil and water volumes. The trend of ΔGWS changes due to water and oil depletion ranged from –18.5 ± 6.3 to –6.2 ± 1.3 mm/year using the CSR GRACE monthly solutions and the best tested hydrological model in this study. Moreover, our Sentinel-1 SAR data analysis using the persistent scatterer interferometry (PSI) method shows a high rate of subsidence, that is, –24.5 ± 0.85, –23.8 ± 0.96, –14.2 ± 0.85, and –6 ± 0.88 mm/year over Heglig, Neem, Diffra, and Unity-area oil fields, respectively. The results of this study can help us to control the integrity and safety of operations and infrastructure in that region, as well as to study the groundwater/oil storage behavior.

show abstract

Section: Sentinel-1 Data and Analysismentioning

confidence: 99%

Satellite Monitoring of Mass Changes and Ground Subsidence in Sudan’s Oil Fields Using GRACE and Sentinel-1 Data

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…One of the radar technologies that can be used in monitoring subsidence is DInSAR (Differential Interferometric Synthetic Aperture Radar). InSAR has given rise to the new methods of measureing movement on the Earth surface with the precision of a few mm [Fyksten and Nilfouroushan, 2019]. Observation of subsidence using the DInSAR using SAR Sentinel 1A images is a low cost method, since the images can be downloaded free of charge and the image processing is done by using the open source SNAP software.…”

Section: Journal Of Ecological Engineeringmentioning

confidence: 99%

Estimation of Land Subsidence Using Sentinel Image Analysis and Its Relation to Subsurface Lithology Based on Resistivity Data in the Coastal Area of Semarang City, Indonesia

Widada¹,

Zainuri²,

Yulianto³

et al. 2020

J. Ecol. Eng.

View full text Add to dashboard Cite

The Semarang city is the capital of the Central Java Province that is experiencing rapid urban growth. Land subsidence in Semarang has been widely reported and its impacts can be seen already in daily life. In order to minimize its damage, land subsidence monitoring is required as a part of natural disaster mitigation. On the other hand, understanding of the subsurface lithology conditions is needed to explore the causes of subsidence in certain areas. One of the methods of monitoring land subsidence is by utilizing Synthetic Aperture Radar (SAR) satellite image which is used in this research. In turn, the subsurface lithology can be studied with the geoelectric methods, one of which is the resistivity method. The purpose of this research is to estimate the land subsidence in the Semarang city using the Sentinel Image Analysis by means of the DInSAR Method and its relation with subsurface lithology studied using the resistivity geoelectric method. The result of the research shows that the average value of subsidence was located in the Genuk District area and Semarang Utara District area which each subsidence value is 9.8 cm/year and 12.7 cm/year. This is because the lithology under the surface of the two locations is clay and silt in a soft condition that is thicker than other locations. The saltwater content contributes to the consolidation process in the lithology. There is a tendency that land subsidence is greater in the port and industrial areas than in other regions, due to building loads.

show abstract

“…Allowing a higher density of measurement points, the monitoring using Multi-Temporal Synthetic Aperture Radar Interferometry (MT-InSAR) techniques has been intensively developed in the last decades to track land subsidence or uplift related to groundwater extraction or recharge of aquifers around large cities (Declercq et al, 2017;Foumelis et al, 2016;Foumelis, 2012). Conversely, the monitoring of expansive clays using InSAR has been the subject of very few studies until now (Bonì et al, 2018;Burnol et al, 2019;Fryksten and Nilfouroushan, 2019). The major limiting factor to this purpose was the non-availability of relatively high-temporal resolution remote sensing datasets.…”

Section: Introductionmentioning

confidence: 99%

Tracking and measuring of clay shrinking and swelling using spaceborne remote sensing

Burnol¹,

Foumelis²,

Gourdier³

et al. 2022

Preprint

View full text Add to dashboard Cite

New capabilities for measuring and monitoring are needed to improve the shrink/swell hazard. A new French experimental site at Chaingy (Centre-Val de Loire) has been instrumented using extensometers at the surface and soil moisture sensors in the clay layer. Here we show by direct comparison between remote and in situ data for a period longer than three years that the vertical ground displacements are well-captured by the Multi-Temporal Synthetic Aperture Radar Interferometry (MT-InSAR) technique. In addition to the one-year period, two sub-annual periods that reflect both average ground shrinking and swelling timeframes are unraveled by a wavelet-based analysis. Moreover, we propose here to combine data from two satellite sensors, namely the surface soil moisture from the SMOS satellite with the vertical displacement from Sentinel-1A/1B. The relative phase difference between both time series for the shrinking and swelling periods is calculated for assessing the variations in terms of depth and thickness of the clay layer. An Electrical Resistivity Tomography (ERT) survey is carried out in the studied zone to validate this new method relying fully on remote sensing observations. With regard to future works, the same method coupling different satellites acquisitions may be scaled up to track the expansive clays in a larger area.

show abstract

Analysis of Clay-Induced Land Subsidence in Uppsala City Using Sentinel-1 SAR Data and Precise Leveling

Cited by 19 publications

References 19 publications

Satellite Monitoring of Mass Changes and Ground Subsidence in Sudan’s Oil Fields Using GRACE and Sentinel-1 Data

Satellite Monitoring of Mass Changes and Ground Subsidence in Sudan’s Oil Fields Using GRACE and Sentinel-1 Data

Estimation of Land Subsidence Using Sentinel Image Analysis and Its Relation to Subsurface Lithology Based on Resistivity Data in the Coastal Area of Semarang City, Indonesia

Tracking and measuring of clay shrinking and swelling using spaceborne remote sensing

Contact Info

Product

Resources

About