scholarly journals LAND SUBSIDENCE MONITORING WITH MULTI-TRACK SAR DATA

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 313-318
Author(s):  
X. Li ◽  
L. Yan ◽  
G. Huang
Keyword(s):  
Land Subsidence ◽  
Cross Validation ◽  
Single Track ◽  
Sar Images ◽  
Hebei Plain ◽  
Precision Time ◽  
Maximum Subsidence ◽  
Subsidence Monitoring ◽  
Track Deformation ◽  
Overlap Area

Abstract. In this study, we investigated wide-area land subsidence in Hebei Plain using 78 C-band Sentinel-1A SAR images acquired from May 2017 to May 2018 covering two tracks. High-precision time series retrieval was performed by NSBAS technology based on a single track. The offset deformation values of two tracks calculated in this paper were −0.09 mm/year, and the multi-track deformation rate was successfully merged. Using the cross-validation of redundant observations in the multi-track overlap area to evaluate the accuracy, and it was found that 90% pixel difference between the two track overlap areas was within 9 mm. The standard deviation was 5.38 mm, and the subsidence trend of the overlap area was consistent. Twenty-four subsidence bowls were extracted, and the maximum subsidence rate reached −62 mm/year.

scholarly journals Adjacent-Track InSAR Processing for Large-Scale Land Subsidence Monitoring in the Hebei Plain

2021 ◽  
Vol 13 (4) ◽  
pp. 795
Author(s):  
Xi Li ◽  
Li Yan ◽  
Lijun Lu ◽  
Guoman Huang ◽  
Zheng Zhao ◽  
...  
Keyword(s):  
Time Series ◽  
Synthetic Aperture Radar ◽  
Land Subsidence ◽  
Large Scale ◽  
Synthetic Aperture ◽  
Hebei Plain ◽  
Deformation Velocity ◽  
Large Scale Land ◽  
Subsidence Monitoring ◽  
Aperture Radar

Large-scale land subsidence has threatened the safety of the Hebei Plain in China. For tens of thousands of square kilometers of the Hebei Plain, large-scale subsidence monitoring is still one of the most difficult problems to be solved. In this paper, we employed the small baseline subset (SBAS) and NSBAS technique to monitor the land subsidence in the Hebei Plain (45,000 km2). The 166 Sentinel-1A data of adjacent-track 40 and 142 collected from May 2017 to May 2019 were used to generate the average deformation velocity and deformation time-series. A novel data fusion flow for the generation of land subsidence velocity of adjacent-track is presented and tested, named as the fusion of time-series interferometric synthetic aperture radar (TS-InSAR) results of adjacent-track using synthetic aperture radar amplitude images (FTASA). A cross-comparison analysis between the two tracks results and two TS-InSAR results was carried out. In addition, the deformation results were validated by leveling measurements and benchmarks on bedrock results, reaching a precision 9 mm/year. Twenty-six typical subsidence bowls were identified in Handan, Xingtai, Shijiazhuang, Hengshui, Cangzhou, and Baoding. An average annual subsidence velocity over −79 mm/year was observed in Gaoyang County of Baoding City. Through the cause analysis of the typical subsidence bowls, the results showed that the shallow and deep groundwater funnels, three different land use types over the building construction, industrial area, and dense residential area, and faults had high spatial correlation related to land subsidence bowls.

scholarly journals THREE-DIMENSIONAL SUBSIDENCE MONITORING OF RECLAMATION AREA BASED ON TS-INSAR TECHNOLOGY

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 297-302
Author(s):  
C. Ren ◽  
X. J. Shi ◽  
L. Zhou ◽  
Y. L. Huang ◽  
Y. J. Liang ◽  
...  
Keyword(s):  
Time Series ◽  
Land Subsidence ◽  
Three Dimensional ◽  
Interferometric Synthetic Aperture Radar ◽  
Envisat Asar ◽  
Subsidence Rate ◽  
Aster Gdem ◽  
Reclamation Area ◽  
Maximum Subsidence ◽  
Subsidence Monitoring

Abstract. This study used the Time Series Interferometric Synthetic Aperture Radar (TS-InSAR) technology and the ENVISAT ASAR dataset obtained between 2007 and 2010 and the Sentinel-1A dataset from 2017 to 2019 to determine the subsidence in the Shenzhen reclamation area, and used ASTER GDEM V2 to remove the phase jump caused by spectral decorrelation between bursts. Based on the time series of land subsidence of the reclamation area, a three-dimensional subsidence model of the reclamation area was established. By comparing and analyzing the subsidence results of two sets of satellite time series in the reclamation area, the temporal and spatial evolution of land subsidence and the cause of land subsidence in the reclamation area were analyzed. The results show that the test results of time series ENVISAT ASAR and Sentinel-1A have good continuity in subsidence spatialtemporal variation: From 2007 to 2010, the land subsidence in most areas of Shenzhen reclamation area is relatively stable, and the area where subsidence occurs is mainly distributed in Baoan District, the maximum subsidence rate in Baoan District is −23.12 mm/year. From 2017 to 2019, land subsidence in the reclamation area showed a tendency to spread and spread from west to east. The subsidence characteristics of Nanshan District are the most obvious, and the maximum subsidence rate is −17.52 mm/year.

scholarly journals Mining-induced Land Subsidence Detected by Sentinel-1 SAR Images: An Example from the Historical Tadeusz Kościuszko Salt Mine at Wapno, Greater Poland Voivodeship, Poland

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Thi Thu Huong KIM ◽  
Hong Ha TRAN ◽  
Khac Luyen BUI ◽  
Tomasz LIPECKI
Keyword(s):  
Land Subsidence ◽  
Salt Mine ◽  
Residential Areas ◽  
Surrounding Area ◽  
Sar Images ◽  
Software Packages ◽  
Persistent Scatterer ◽  
Study Results ◽  
History Of ◽  
Maximum Subsidence

There are many mines in Poland that have been in operation for over 100 years, with theTadeusz Kościuszko mine being a large salt mine in Wapno, northern Poland. The mine was closed in1977 due to the greatest catastrophe in the history of Polish mining, but in the first days of 2021, a verylarge hole has been created in this area due to land subsidence. This article uses InSAR technology withSentinel-1 images to determine settlement and ongoing deformation in this mine. The study results areuseful for policymakers, managers, and authorities because land subsidence has caused serious anddangerous effects on people living in the area. The results processed by the Persistent Scatterer InSAR(PSInSAR) method with the Sentinel Application Platform and the Stanford Method for PersistentScatterers software packages show that deformation in the Wapno village area has been detected in bothresidential and non-residential areas, with maximum subsidence of up to −19 mm/yr. The subsidence inthe mine reaches −12 mm/yr, and that at surrounding area range from 0 to −18.8 mm/yr.

scholarly journals Remote Sensing X-Band SAR Data for Land Subsidence and Pavement Monitoring

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4751 ◽  
Author(s):  
Sadra Karimzadeh ◽  
Masashi Matsuoka
Keyword(s):  
Land Subsidence ◽  
Sar Images ◽  
Nw Iran ◽  
Traffic Jams ◽  
X Band ◽  
Pavement Monitoring ◽  
Negative Impacts ◽  
Small Baseline ◽  
Sbas Insar ◽  
The City

In this study, we monitor pavement and land subsidence in Tabriz city in NW Iran using X-band synthetic aperture radar (SAR) sensor of Cosmo-SkyMed (CSK) satellites (2017–2018). Fifteen CSK images with a revisit interval of ~30 days have been used. Because of traffic jams, usually cars on streets do not allow pure backscattering measurements of pavements. Thus, the major paved areas (e.g., streets, etc.) of the city are extracted from a minimum-based stacking model of high resolution (HR) SAR images. The technique can be used profitably to reduce the negative impacts of the presence of traffic jams and estimate the possible quality of pavement in the HR SAR images in which the results can be compared by in-situ road roughness measurements. In addition, a time series small baseline subset (SBAS) interferometric SAR (InSAR) analysis is applied for the acquired HR CSK images. The SBAS InSAR results show land subsidence in some parts of the city. The mean rate of line-of-sight (LOS) subsidence is 20 mm/year in district two of the city, which was confirmed by field surveying and mean vertical velocity of Sentinel-1 dataset. The SBAS InSAR results also show that 1.4 km2 of buildings and 65 km of pavement are at an immediate risk of land subsidence.

Mine Subsidence Monitoring Using Multi-source Satellite SAR Images

2007 ◽  
Vol 73 (3) ◽  
pp. 259-266 ◽  
Author(s):  
Linlin Ge ◽  
Hsing-Chung Chang ◽  
Chris Rizos
Keyword(s):  
Sar Images ◽  
Mine Subsidence ◽  
Subsidence Monitoring
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