An Improved Multi-Platform Stacked D-InSAR Method for Monitoring the Three-Dimensional Deformation of the Mining Area

Liu, Xiaobing; Huang, Jianhui

doi:10.1109/access.2021.3076065

Cited by 6 publications

(4 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We further extend the four-dimensional observation equations shown in (7). This model is referred to "Model 4" hereafter.…”

Section: 𝒓 𝑽 𝑨 • 𝒗mentioning

confidence: 99%

“…As a result, applying the WLS approach for estimating 3D deformation from PSI velocity and interpolated velocity may be difficult. Rather, we propose that 3D deformation should be estimated by four-dimensional observation equations expressed by (7) with OLS when multi-temporal SAR images acquired in dual orbits and GNSS data are available.…”

Section: B Weight For Different Data Sourcesmentioning

confidence: 99%

“…This result was observed because the forward-and backward-looking interferograms have a small significant difference. Another example of using only SAR images is Liu and Huang [7], who proposed a method for fusing images obtained from multiple platforms (e.g., COSMO-SkyMed and TerraSAR-X).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Unbiased Estimation of Three-Dimensional Deformation From SAR Interferometry and GNSS Observations

Susaki,

Teranishi

2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

Persistent scatterer interferometry (PSI) of multitemporal synthetic aperture radar (SAR) satellite images provides deformation along the radar line-of-sight direction. Threedimensional (3D) land deformation can be estimated by combining observations from multiple sources and directions, such as multitemporal SAR images acquired in ascending and descending orbits, with global navigation satellite system (GNSS) data. A bias can be included in the 3D deformation estimates when the interpolated GNSS data are inconsistent with the actual local deformation. In this study, we propose an optimal method for estimating 3D land subsidence from SAR images acquired using dual orbits and GNSS data and detecting such bias. It calculates two sets of 3D ground deformation velocities: one from ascending images and GNSS data and the other from descending images and GNSS data. The subtracted ground deformation velocities have significant values when the interpolated GNSS are inconsistent with ground deformation velocities from SAR observations. We demonstrated the validity using simulated images. In addition, we examined the number of observation equations that had the least effect on the bias. We applied this method to the Kansai International Airport (KIX) in Japan using ALOS-2/PALSAR-2 ascending and descending images. We assessed the validity of the observation equation models based on the viewpoints of root mean squared errors and the relative residual error generated in the estimation. We found that when the inconsistency due to the interpolation is available, the optimal model uses four observation variables: two LOS deformation velocities and interpolated eastwest and north-south deformation velocities from GNSS observations.

show abstract

“…We further extend the four-dimensional observation equations shown in (7). This model is referred to "Model 4" hereafter.…”

Section: 𝒓 𝑽 𝑨 • 𝒗mentioning

confidence: 99%

Section: B Weight For Different Data Sourcesmentioning

confidence: 99%

See 1 more Smart Citation

Unbiased Estimation of Three-Dimensional Deformation From SAR Interferometry and GNSS Observations

Susaki,

Teranishi

2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

show abstract

“…The mentioned modern observation techniques have been widely used in surface deformation monitoring. Many scholars have contributed to the comprehensive understanding of surface deformation by improving observation accuracy through data acquisition and data processing methods [21][22][23][24][25][26][27][28]. Meanwhile, many studies simultaneously use one or two traditional measurement techniques and modern techniques to study and analyze surface subsidence, but few studies combine the advantages of various techniques for analysis [29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Construction of “Space-Sky-Ground” Integrated Collaborative Monitoring Framework for Surface Deformation in Mining Area

Yan

Dai

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

Ground deformation measurements in mining areas play a key role in revealing the surface subsidence law, retrieving the subsidence parameters, warning of geological disasters and restoring the surface ecology. With the development of science and technology, there have emerged a great number of monitoring techniques and buildings of diverse protection levels. The diversity of monitoring techniques and the multiplicity of monitoring objects have brought challenges for surface deformation monitoring in the coal industry. Based on the existing deformation monitoring techniques, this paper established a framework of "space-sky-ground" collaborative monitoring system in mining area. We also constructed an AHP-TOPSIS (Analytic Hierarchy Process method- Technique for Order Preference by Similarity to an Ideal Solution) preference model of "space-sky-ground" collaborative monitoring of surface deformation in mining area, and carried out engineering application. Our study shows that the framework of the "space-sky-ground" collaborative monitoring system for surface subsidence in mining areas established in this paper, combined with the AHP-TOPSIS monitoring preference model, which can fully combine the advantages of each monitoring technique, overcome the limitations of a single monitoring technique, comprehensively obtain the surface subsidence data and work out the surface deformation subsidence pattern. This information provides a data and technical support for surface environment management.

show abstract

A review of monitoring, calculation, and simulation methods for ground subsidence induced by coal mining

Cai

Jin

Wang

et al. 2023

Int J Coal Sci Technol

View full text Add to dashboard Cite

Subsidence data acquisition methods are crucial to mining subsidence research and an essential component of achieving the goal of environmentally friendly coal mining. The origin and history of the existing methods of field monitoring, calculation, and simulation were introduced. It summarized and analyzed the main applications, flaws and solutions, and improvements of these methods. Based on this analysis, the future developing directions of subsidence data acquisition methods were prospected and suggested. The subsidence monitoring methods have evolved from conventional ground monitoring to combined methods involving ground-based, space-based, and air-based measurements. While the conventional methods are mature in technology and reliable in accuracy, emerging remote sensing technologies have obvious advantages in terms of reducing field workload and increasing data coverage. However, these remote sensing methods require further technological development to be more suitable for monitoring mining subsidence. The existing subsidence calculation methods have been applied to various geological and mining conditions, and many improvements have already been made. In the future, more attention should be paid to unifying the studies of calculation methods and mechanical principles. The simulation methods are quite dependent on the similarity of the model to the site conditions and are generally used as an auxiliary data source for subsidence studies. The cross-disciplinary studies between subsidence data acquisition methods and other technologies should be given serious consideration, as they can be expected to lead to breakthroughs in areas such as theories, devices, software, and other aspects.

show abstract

An Improved Multi-Platform Stacked D-InSAR Method for Monitoring the Three-Dimensional Deformation of the Mining Area

Cited by 6 publications

References 33 publications

Unbiased Estimation of Three-Dimensional Deformation From SAR Interferometry and GNSS Observations

Unbiased Estimation of Three-Dimensional Deformation From SAR Interferometry and GNSS Observations

Construction of “Space-Sky-Ground” Integrated Collaborative Monitoring Framework for Surface Deformation in Mining Area

A review of monitoring, calculation, and simulation methods for ground subsidence induced by coal mining

Contact Info

Product

Resources

About