Long‐term subsidence in Mexico City from 2004 to 2018 revealed by five synthetic aperture radar sensors

2019 ◽  
Vol 30 (15) ◽  
pp. 1785-1801 ◽  
Author(s):  
Zheyuan Du ◽  
Linlin Ge ◽  
Alex Hay‐Man Ng ◽  
Qinggaozi Zhu ◽  
Qi Zhang ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Mexico City ◽  
Synthetic Aperture ◽  
Radar Sensors ◽  
Aperture Radar

scholarly journals Data Correction Method of The Persistent Scatterer Interferometric Synthetic Aperture Radar Technique in Landslide Surface Monitoring

Mining Scince ◽  
2019 ◽  
Vol 26 ◽  
Author(s):  
Mowen Xie ◽  
Fuxia Lv ◽  
Liwei Wang
Keyword(s):  
Synthetic Aperture Radar ◽  
Single Point ◽  
Synthetic Aperture ◽  
Hydropower Station ◽  
Landslide Monitoring ◽  
Interferometric Synthetic Aperture Radar ◽  
Reservoir Area ◽  
Radar Technique ◽  
Aperture Radar

Landslides generally cause more damage than first predicted. Currently, many methods are available for monitoring landslides occurrence. Conventional methods are mainly based on single-point monitoring, which omits the aspect of variation in large-scale landslides. Due to the development of radar satellites, the differential interferometric synthetic aperture radar technique has been widely used for landslide monitoring. In this study, an experimental region in the Wudongde Hydropower Station reservoir area was studied using archived spaceborne synthetic aperture radar (SAR) data collected over many years. As the permanent scatterer interferometric SAR (PS-InSAR) technique is an advanced technology, it could be suitably used to overcome the time discontinuity in long time series. However, the accuracy of date processing obtained using the PS-InSAR technique is lower than that obtained using the single-point monitoring method. The monitoring results of the PS-InSAR technique only demonstrate the moving trend of landslides and do not present the actual displacement. The Advanced Land Observation Satellite and a high-precision total station were used for long-term landslide monitoring of the Jinpingzi landslide at the Wudongde Hydropower Station reservoir area. Based on a relationship analysis between the data obtained using the PS-InSAR technique and the total station, a revised method was proposed to reduce the errors in the PS-InSAR monitoring results. The method can not only enhance the monitoring precision of the PS-InSAR technology but also achieve long-term monitoring of landslide displacement from a bird’s-eye view.

scholarly journals Long-Term Satellite Monitoring of the Slumgullion Landslide Using Space-Borne Synthetic Aperture Radar Sub-Pixel Offset Tracking

2019 ◽  
Vol 11 (3) ◽  
pp. 369 ◽  
Author(s):  
Donato Amitrano ◽  
Raffaella Guida ◽  
Domenico Dell’Aglio ◽  
Gerardo Di Martino ◽  
Diego Di Martire ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Satellite Monitoring ◽  
Debris Slide ◽  
Long Term Monitoring ◽  
Offset Tracking ◽  
Term Monitoring ◽  
Pixel Offset Tracking ◽  
Aperture Radar

Kinematic characterization of a landslide at large, small, and detailed scale is today still rare and challenging, especially for long periods, due to the difficulty in implementing demanding ground surveys with adequate spatiotemporal coverage. In this work, the suitability of space-borne synthetic aperture radar sub-pixel offset tracking for the long-term monitoring of the Slumgullion landslide in Colorado (US) is investigated. This landslide is classified as a debris slide and has so far been monitored through ground surveys and, more recently, airborne remote sensing, while satellite images are scarcely exploited. The peculiarity of this landslide is that it is subject to displacements of several meters per year. Therefore, it cannot be monitored with traditional synthetic aperture radar differential interferometry, as this technique has limitations related to the loss of interferometric coherence and to the maximum observable displacement gradient/rate. In order to overcome these limitations, space-borne synthetic aperture radar sub-pixel offset tracking is applied to pairs of images acquired with a time span of one year between August 2011 and August 2013. The obtained results are compared with those available in the literature, both at landslide scale, retrieved through field surveys, and at point scale, using airborne synthetic aperture radar imaging and GPS. The comparison showed full congruence with the past literature. A consistency check covering the full observation period is also implemented to confirm the reliability of the technique, which results in a cheap and effective methodology for the long-term monitoring of large landslide-induced movements.

scholarly journals A Novel Method of Generating Deformation Time-Series Using Interferometric Synthetic Aperture Radar and Its Application in Mexico City

2018 ◽  
Vol 10 (11) ◽  
pp. 1741 ◽  
Author(s):  
Xiaying Wang ◽  
Qin Zhang ◽  
Chaoying Zhao ◽  
Feifei Qu ◽  
Juqing Zhang
Keyword(s):  
Time Series ◽  
Synthetic Aperture Radar ◽  
Mexico City ◽  
Land Subsidence ◽  
Functional Model ◽  
Synthetic Aperture ◽  
Economic Losses ◽  
Deformation Pattern ◽  
Interferometric Synthetic Aperture Radar ◽  
Aperture Radar

As a result of rapid societal development and urbanization, the pumping of groundwater has gradually increased. Land subsidence has thus become a common geological disaster, which can result in huge economic losses. Interferometric synthetic aperture radar (InSAR), with its large-scale and high-accuracy monitoring characteristics, can attain information on Earth surface deformation using the interferometric phase between couples of SAR images acquired at different times. Time-series results for the ground surface are the key information required to understand the deformation pattern and further study the reason for the subsidence. However, in recent research, most methods for resolving time-series deformation—like the Berardino method—that use residuals in functional model solving and distinguish high-pass displacement and the atmospheric component by filtering do not generally work well and functional models focusing on prior information in the time-series solution process are not always available. In this paper, to solve the above problems, 34 Sentinel-1A descending mode scenes of Mexico City captured between 2015/04/13 and 2016/09/10 are used as experimental data. Firstly, a new functional model is provided to obtain the deformation time-series. The nonlinear deformation and atmospheric phase are combined as an unknown parameter and the method of singular value decomposition (SVD) is used to solve this variable. The nonlinear displacement and atmospheric phase are then separated by the singular spectrum analysis (SSA) method. Finally, the total land subsidence time-series is obtained by adding together the linear displacement and nonlinear displacement. Two typical methods and the proposed method were compared using both unit weights and adaptive weights. The experimental results show that the proposed method can obtain a more accurate time-series deformation result. Moreover, the different weights do not result in significant differences and the solved atmospheric and nonlinear phases have good consistency with the interferogram phase.

Flood Mapping Using Synthetic Aperture Radar Sensors From Local to Global Scales

2018 ◽  
pp. 55-77 ◽  
Author(s):  
Antara Dasgupta ◽  
Stefania Grimaldi ◽  
RAAJ Ramsankaran ◽  
Valentijn R. N. Pauwels ◽  
Jeffrey P. Walker ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Flood Mapping ◽  
Radar Sensors ◽  
Aperture Radar

Long term landslide monitoring by ground‐based synthetic aperture radar interferometer

2006 ◽  
Vol 27 (10) ◽  
pp. 1893-1905 ◽  
Author(s):  
L. Noferini ◽  
M. Pieraccini ◽  
D. Mecatti ◽  
G. Macaluso ◽  
G. Luzi ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Landslide Monitoring ◽  
Aperture Radar
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