scholarly journals MONITORING THE SURFACE SUBSIDENCE OF HANDAN CITY USING SENTINEL-1A IMAGES AND SBAS-INSAR TECHNOLOGY

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1933-1937 ◽  
Author(s):  
G. Huang ◽  
H. Chen ◽  
X. Li ◽  
G. Cheng ◽  
Z. Yu ◽  
...  
Keyword(s):  
Time Series ◽  
Urban Area ◽  
Land Subsidence ◽  
Maximum Settlement ◽  
Research Areas ◽  
Cumulative Deformation ◽  
Sbas Insar ◽  
Surrounding Areas ◽  
Subsidence Monitoring ◽  
Handan City

<p><strong>Abstract.</strong> The Sentinel-1 data is currently the latest free SAR data and is well suited for land subsidence monitoring based on InSAR technology due to its 6-day revisit cycle. In this paper, the urban area and surrounding areas of Handan City are used as research areas, and 29 scences of S1A data (December 2017 &amp;ndash; December 2018) was used for time series SBAS processing. The results shows that the surface cumulative deformation ranged from -42 to 30&amp;thinsp;mm in most regions of Handan City. The maximum settlement is 69&amp;thinsp;mm, which is near the Hankuang Group Julong Company. The areas where the settlement is obvious include Wu'an City, Daishan Village, Dashe Town, Zhangxibao Town, Baijia Street, Dongxingtai Village, Gaonan Village and Hankuang Group Julong Company. Slightly elevated in the southeast of Handan City.</p>

scholarly journals LAND SUBSIDENCE MONITORING USING PS-InSAR TECHNIQUE FOR L-BAND SAR DATA

2016 ◽  
Vol XLI-B7 ◽  
pp. 995-997 ◽  
Author(s):  
S. Thapa ◽  
R. S. Chatterjee ◽  
K. B. Singh ◽  
D. Kumar
Keyword(s):  
Time Series ◽  
Land Subsidence ◽  
Land Surface ◽  
Surface Deformation ◽  
Underground Mining ◽  
Ground Surface ◽  
Sar Interferometry ◽  
Persistent Scatterer Interferometry ◽  
Long Time ◽  
Subsidence Monitoring

Differential SAR-Interferometry (D-InSAR) is one of the potential source to measure land surface motion induced due to underground coal mining. However, this technique has many limitation such as atmospheric in homogeneities, spatial de-correlation, and temporal decorrelation. Persistent Scatterer Interferometry synthetic aperture radar (PS-InSAR) belongs to a family of time series InSAR technique, which utilizes the properties of some of the stable natural and anthropogenic targets which remain coherent over long time period. In this study PS-InSAR technique has been used to monitor land subsidence over selected location of Jharia Coal field which has been correlated with the ground levelling measurement. This time series deformation observed using PS InSAR helped us to understand the nature of the ground surface deformation due to underground mining activity.

Land subsidence analysis in Surabaya urban area using time series InSAR method

2018 ◽  
Author(s):  
Ira Mutiara Anjasmara ◽  
Sendy Ayu Yulyta ◽  
Mokhamad Nur Cahyadi ◽  
Khomsin ◽  
Muhammad Taufik ◽  
...  
Keyword(s):  
Time Series ◽  
Urban Area ◽  
Land Subsidence ◽  
Subsidence Analysis

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 LAND SUBSIDENCE MONITORING IN DEZHOU CITY BASED ON SBAS-INSAR TECHNOLOGY

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 299-304
Author(s):  
G. Huang ◽  
H. Fan ◽  
L. Lu ◽  
W. Yu
Keyword(s):  
Urban Area ◽  
Land Subsidence ◽  
Large Scale ◽  
Vertical Direction ◽  
Ground Subsidence ◽  
Large Area ◽  
Coverage Area ◽  
Radar Images ◽  
Seasonal Characteristics ◽  
Sbas Insar

Abstract. To monitor the large area land subsidence in Dezhou city, Shandong province, China. This paper uses 23 scenes of Sentinel-1A radar images from August 2017 to February 2019, and based on small baseline subset (SBAS) technology to obtain the subsidence information in Dezhou urban area. The monitoring results show that: Dezhou city has a serious subsidence phenomenon in large coverage area. A subsidence funnel with Chenzhuang as the center was formed. The average annual subsidence rate (along the vertical direction) of the subsidence center exceeded 45 mm/yr. There was also a serious subsidence phenomenon in the eastern and northeastern parts of the urban area, and there was a tendency of forming a whole area. After detailed data analysis, it is found that the ground subsidence presents seasonal characteristics closely related to the groundwater level and is affected by large-scale engineering construction on the surface.

SBAS-InSAR time series ground subsidence monitoring along Metro Line 13 in Qingdao, China

2021 ◽  
Vol 14 (23) ◽  
Author(s):  
Qiuxiang Tao ◽  
Zaijie Guo ◽  
Fengyun Wang ◽  
Qingguo An ◽  
Yu Han
Keyword(s):  
Time Series ◽  
Ground Subsidence ◽  
Sbas Insar ◽  
Subsidence Monitoring

scholarly journals Land subsidence in Beijing from 2017-2018 revealed by Sentinel-1A TOPS time series interferometry

2020 ◽  
Vol 218 ◽  
pp. 04002
Author(s):  
Peilian Ran ◽  
Shaoda Li ◽  
Keren Dai ◽  
Xiaoxia Yang
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Land Subsidence ◽  
Subsidence Rate ◽  
Subsidence Area ◽  
Long Time ◽  
Maximum Subsidence ◽  
The Government ◽  
Sbas Insar ◽  
First Time

Beijing is one of the largest cities in China, which has suffered from land subsidence for a long time. According to the study from 2005 to 2017, the maximum subsidence rate of Beijing is more than 10 cm/year. This paper will use Sentinel-1A TOPS data for the first time to reveal the land subsidence of Beijing from 2017 to 2018 by using time series interferometry. SBAS-InSAR technology was used for time series analysis. The annual mean subsidence rate and time series subsidence of Beijing were obtained. The results show that the east of Chaoyang district and the northwest of Tongzhou district were the severe subsidence areas in Beijing, and the subsidence rate is more than 10 cm/year, which indicates that the subsidence area in Beijing is continuous in recent years, and corresponding measures should be taken by the government.

scholarly journals Mapping and characterization of land subsidence in Beijing Plain caused by groundwater pumping using the Small Baseline Subset (SBAS) InSAR technique

2015 ◽  
Vol 372 ◽  
pp. 347-349 ◽  
Author(s):  
M. L. Gao ◽  
H. L. Gong ◽  
B. B. Chen ◽  
C. F. Zhou ◽  
K. S. Liu ◽  
...  
Keyword(s):  
Land Subsidence ◽  
Surface Deformation ◽  
Radar Images ◽  
Beijing Plain ◽  
Small Baseline Subset ◽  
Small Baseline ◽  
Sbas Insar ◽  
Subsidence Monitoring ◽  
Mapping Result

Abstract. InSAR time series analysis is widely used for detection and monitoring of slow surface deformation. In this paper, 15 TerraSAR-X radar images acquired in stripmap mode between 2012 and 2013 are processed for land subsidence monitoring with the Small Baseline Subset (SBAS) approach in Beijing Plain in China. Mapping results produced by SBAS show that the subsidence rates in the area of Beijing Plain range from −97.5 (subsidence) and to +23.8 mm yr−1 (uplift), relative to a presumably stable benchmark. The mapping result also reveals that there are the five subsidence centers formed by surface deformation spreading north to south east of the downtown. An uneven subsidence patten was detected near the Beijing Capital International Airpor, which may be related to loading of buildings and the aircraft.

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