A multiscale approach for detection and mapping differential subsidence using multi-platform InSAR products

Abstract. Detecting and mapping subsidence is currently supported by interferometric synthetic aperture radar (InSAR) products. However, several factors, such as band-dependent processing, noise presence, and strong subsidence limit the use of InSAR for assessing differential subsidence, which can lead to ground instability and damage to infrastructure. In this work, we propose an approach for measuring and mapping differential subsidence using InSAR products. We consider synthetic aperture radar (SAR) data availability, data coverage over time and space, and the region's subsidence rates to evaluate the need of post-processing, and only then we interpret the results. We illustrate our approach with two case-examples in Central Mexico, where we process SAR data from the Japanese ALOS (L-band), the German TerraSAR-X (X-band), the Italian COSMO-SkyMed (X-band) and the European Sentinel-1 (C-band) satellites. We find good agreement between our results on differential subsidence and field data of existing faulting and find potential to map yet-to-develop faults.

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Comparison of L-band and X-band differential interferometric synthetic aperture radar for mine subsidence monitoring in central Utah

International Journal of Mining Science and Technology ◽

10.1016/j.ijmst.2016.11.012 ◽

2017 ◽

Vol 27 (1) ◽

pp. 159-163 ◽

Cited By ~ 13

Author(s):

Jessica M. Wempen ◽

Michael K. McCarter

Keyword(s):

Synthetic Aperture Radar ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

Mine Subsidence ◽

X Band ◽

L Band ◽

Subsidence Monitoring ◽

Aperture Radar

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Digital Beamforming Synthetic Aperture Radar (DBSAR): Experiments and Performance Analysis in Support of 16-Channel Airborne X-Band SAR Data

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.3027691 ◽

2020 ◽

pp. 1-15

Author(s):

Yashi Zhou ◽

Wei Wang ◽

Zhen Chen ◽

Pei Wang ◽

Huachun Zhang ◽

...

Keyword(s):

Performance Analysis ◽

Synthetic Aperture Radar ◽

Synthetic Aperture ◽

Digital Beamforming ◽

X Band ◽

Sar Data ◽

And Performance ◽

Aperture Radar

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Monitoring deformation at the Geysers Geothermal Field, California using C-band and X-band interferometric synthetic aperture radar

Geophysical Research Letters ◽

10.1002/grl.50314 ◽

2013 ◽

Vol 40 (11) ◽

pp. 2567-2572 ◽

Cited By ~ 38

Author(s):

D. W. Vasco ◽

Jonny Rutqvist ◽

Alessandro Ferretti ◽

Alessio Rucci ◽

Fernando Bellotti ◽

...

Keyword(s):

Synthetic Aperture Radar ◽

Geothermal Field ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

X Band ◽

The Geysers ◽

Aperture Radar

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High Accuracy Algorithm of Airborne Interferometric Synthetic Aperture Radar

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.128-129.138 ◽

2011 ◽

Vol 128-129 ◽

pp. 138-141

Author(s):

Song Tao Han ◽

Ge Shi Tang ◽

Yong Fei Mao ◽

Lue Chen ◽

Mei Wang

Keyword(s):

Data Processing ◽

Synthetic Aperture Radar ◽

Large Scale ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

Processing Methods ◽

X Band ◽

System Data ◽

Data Processing Methods ◽

Aperture Radar

Interferometric Synthetic Aperture Radar is one of the most important technologies for topographic mapping. The DEM quality of airborne InSAR system depends on both system hardware performance and data processing methods. To derive large scale topographic and thematic maps up to scale 1:50000 and 1:10000, the whole data processing methods were presented. The methods included SAR imaging, interferometric processing and cartographic processing. Special methods were induced to resolve the problems encountered in project applications. Results using X-band airborne InSAR system data showed validity of the algorithm.

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Combined Use of Optical and Synthetic Aperture Radar Data for REDD+ Applications in Malawi

Land ◽

10.3390/land7040116 ◽

2018 ◽

Vol 7 (4) ◽

pp. 116 ◽

Cited By ~ 7

Author(s):

Manuela Hirschmugl ◽

Carina Sobe ◽

Janik Deutscher ◽

Mathias Schardt

Keyword(s):

Time Series ◽

Land Cover ◽

Synthetic Aperture Radar ◽

Data Availability ◽

Synthetic Aperture ◽

Optical Data ◽

Series Data ◽

Forest Mapping ◽

Sar Data ◽

Aperture Radar

Recent developments in satellite data availability allow tropical forest monitoring to expand in two ways: (1) dense time series foster the development of new methods for mapping and monitoring dry tropical forests and (2) the combination of optical data and synthetic aperture radar (SAR) data reduces the problems resulting from frequent cloud cover and yields additional information. This paper covers both issues by analyzing the possibilities of using optical (Sentinel-2) and SAR (Sentinel-1) time series data for forest and land cover mapping for REDD+ (Reducing Emissions from Deforestation and Forest Degradation) applications in Malawi. The challenge is to combine these different data sources in order to make optimal use of their complementary information content. We compare the results of using different input data sets as well as of two methods for data combination. Results show that time-series of optical data lead to better results than mono-temporal optical data (+8% overall accuracy for forest mapping). Combination of optical and SAR data leads to further improvements: +5% in overall accuracy for land cover and +1.5% for forest mapping. With respect to the tested combination methods, the data-based combination performs slightly better (+1% overall accuracy) than the result-based Bayesian combination.

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ERRORS ANALYSIS OF DEMS BY INTERFEROMETRIC SYNTHETIC APERTURE RADAR UTILIZING SEVERAL ACQUISITION CONDITIONS OF THE MULTIFREQUENCY SAR DATA

Journal of Japan Society of Civil Engineers Ser F3 (Civil Engineering Informatics) ◽

10.2208/jscejcei.74.49 ◽

2018 ◽

Vol 74 (1) ◽

pp. 49-55

Author(s):

Takashi NONAKA ◽

Tomohito ASAKA ◽

Keishi IWASHITA

Keyword(s):

Synthetic Aperture Radar ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

Sar Data ◽

Errors Analysis ◽

Aperture Radar

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URBAN AREA EXTRACTION USING AIRBORNE X-BAND FULLY POLARIMETRIC PI-SAR2 IMAGERY

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xl-3-w2-219-2015 ◽

2015 ◽

Vol XL-3/W2 ◽

pp. 219-226 ◽

Cited By ~ 1

Author(s):

J. Susaki ◽

M. Kishimoto

Keyword(s):

Synthetic Aperture Radar ◽

Urban Areas ◽

Orientation Angle ◽

Information And Communications Technology ◽

Synthetic Aperture ◽

Total Power ◽

Component Decomposition ◽

X Band ◽

Sar Data ◽

Aperture Radar

In this paper, we present a method to extract urban areas from X-band fully polarimetric synthetic aperture radar (SAR) data. It is known that very high resolution (VHR) SAR can extract buildings, but it requires more processes to map urban areas that should include other objects. The proposed method is mainly composed of two classifications. One classification uses total power of scattering and volume scattering derived by using four component decomposition method with correction of the polarization orientation angle (POA) effect. The other classification uses polarimetric coherency between SHH and SVV . The two results are intersected and final urban areas are extracted after post-classification processing. We applied the proposed method to airborne X-band fully polarimetric SAR data of Polarimetric and Interferometric Airborne Synthetic Aperture Radar System (Pi-SAR2), developed by the National Institute of Information and Communications Technology (NICT), Japan. The validation show that the results of the proposed method were acceptable, with an overall accuracy of approximately 80 to 90% at 100-m spatial scale.

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