Ground subsidence monitoring in western region of Shanghai Maglev by Cosmo-SkyMed ascending and descending SAR images

2014 ◽  
Author(s):  
Jingwen Zhao ◽  
Jicang Wu
Keyword(s):  
Ground Subsidence ◽  
Western Region ◽  
Sar Images ◽  
Subsidence Monitoring

scholarly journals MONITORING GROUND SUBSIDENCE IN AREAS COVERED BY DENSE VEGETATION USING TERRASAR-X IMAGES: A CASE STUDY OF HANGZHOU

2016 ◽  
Vol XLI-B7 ◽  
pp. 55-59
Author(s):  
H. A. Wu ◽  
Y. H. Zhang ◽  
G. F. Luo ◽  
Y. K. Kang ◽  
Y. M. Zhu
Keyword(s):  
High Resolution ◽  
Good Accuracy ◽  
Ground Subsidence ◽  
Sar Images ◽  
Dense Vegetation ◽  
The Past ◽  
Rms Error ◽  
Subsidence Monitoring

Hangzhou, the capital of Zhejiang province has suffered serious ground subsidence during the past several decades, due to long term over-exploration of groundwater. In this paper, the time series InSAR technique using high resolution SAR images is investigated for the generation of subsidence maps over Hangzhou region. 29 TerraSAR-X images acquired from May 2012 to Sep 2015 are used. The results show that serious subsidence has mainly taken place in suburban area, including Yuhang district, Xiaoshan district and Binjiang district. 4 subsidence centers are discovered, namely Tangqi town in Yuhang with an average subsiding velocity of -29.6 mm/year, Xintang (-30.7 mm/year) in Xiaoshan, Zhujiaqiao town (-25.6mm/year) in Xiaoshan, and Miaohouwang town (-30.1mm/year) in Binjiang. The urban area is stable and ground rebound even take place in some places. The results are compared with 19 levelling measurements. The RMS error between them is 2.9 mm/year, which demonstrates that the high resolution TerraSAR-X images has good accuracy for subsidence monitoring in the southeast of China, covered by dense vegetation.

scholarly journals MONITORING GROUND SUBSIDENCE IN AREAS COVERED BY DENSE VEGETATION USING TERRASAR-X IMAGES: A CASE STUDY OF HANGZHOU

2016 ◽  
Vol XLI-B7 ◽  
pp. 55-59
Author(s):  
H. A. Wu ◽  
Y. H. Zhang ◽  
G. F. Luo ◽  
Y. K. Kang ◽  
Y. M. Zhu
Keyword(s):  
High Resolution ◽  
Good Accuracy ◽  
Ground Subsidence ◽  
Sar Images ◽  
Dense Vegetation ◽  
The Past ◽  
Rms Error ◽  
Subsidence Monitoring

Hangzhou, the capital of Zhejiang province has suffered serious ground subsidence during the past several decades, due to long term over-exploration of groundwater. In this paper, the time series InSAR technique using high resolution SAR images is investigated for the generation of subsidence maps over Hangzhou region. 29 TerraSAR-X images acquired from May 2012 to Sep 2015 are used. The results show that serious subsidence has mainly taken place in suburban area, including Yuhang district, Xiaoshan district and Binjiang district. 4 subsidence centers are discovered, namely Tangqi town in Yuhang with an average subsiding velocity of -29.6 mm/year, Xintang (-30.7 mm/year) in Xiaoshan, Zhujiaqiao town (-25.6mm/year) in Xiaoshan, and Miaohouwang town (-30.1mm/year) in Binjiang. The urban area is stable and ground rebound even take place in some places. The results are compared with 19 levelling measurements. The RMS error between them is 2.9 mm/year, which demonstrates that the high resolution TerraSAR-X images has good accuracy for subsidence monitoring in the southeast of China, covered by dense vegetation.

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

Ground Subsidence Monitoring in Hong Kong with Satellite SAR Interferometry

2004 ◽  
Vol 70 (10) ◽  
pp. 1151-1156 ◽  
Author(s):  
X.L. Ding ◽  
G.X. Liu ◽  
Z.W. Li ◽  
Z.L. Li ◽  
Y.Q. Chen
Keyword(s):  
Hong Kong ◽  
Sar Interferometry ◽  
Ground Subsidence ◽  
Subsidence Monitoring

scholarly journals LARGE-SCALE SUBSIDENCE GEOHAZARD MONITORING WITH SENTINEL-1 SAR INTERFEROMETRY IN CENTRAL LISHUI (CHINA)

2021 ◽  
Vol XLIII-B3-2021 ◽  
pp. 873-878
Author(s):  
T. Qu ◽  
Z. Su ◽  
H. Yang ◽  
X. Shi ◽  
W. Shao
Keyword(s):  
Large Scale ◽  
Small Deformation ◽  
Sar Interferometry ◽  
Ground Subsidence ◽  
Impact Factors ◽  
Survey Techniques ◽  
Ground Survey ◽  
In Situ Sensors ◽  
Sbas Insar ◽  
Subsidence Monitoring

Abstract. Ground subsidence has become a serious problem along with the rapid urban expansions. Compared with traditional point-based ground survey techniques (GPS, levelling measurement and in-situ sensors), SAR Interferometry are quite appreciated for large-scale subsidence monitoring with long term and high accuracy. In this study, we focused on large-scale subsidence geohazard monitoring of central Lishui (China) and extracted subsidence velocity map of Liandu District. 57 Sentinle-1 SAR images from April 2019 to September 2020 are analysed with SBAS-InSAR technique. The overall subsidence of Liandu is significantly correlated with the distributions of construction engineering sites with displacement velocity of approximately 30–60 mm/yr. Various types of urban ground subsidence could be identified, including the overall settlement of large construction site, the slope deformation of construction excavation, significant settlement of refuse landfill and mountain crossing tunnel, and small deformation of highvoltage towers in mountainous areas. Our results indicated that the rapid urban developments are the dominant impact factors of subsidence in Lishui, China.

scholarly journals Assessment of radar interferometry performance for ground subsidence monitoring due to underground mining

2009 ◽  
Vol 61 (6) ◽  
pp. 733-745 ◽  
Author(s):  
Alex Hay-Man Ng ◽  
Hsing-Chung Chang ◽  
Linlin Ge ◽  
Chris Rizos ◽  
Makoto Omura
Keyword(s):  
Underground Mining ◽  
Radar Interferometry ◽  
Ground Subsidence ◽  
Subsidence Monitoring
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