Integration of Range Split Spectrum Interferometry and conventional InSAR to monitor large gradient surface displacements

Luo, Haipeng; Li, Zhenhong; Chen, Jiajun; Pearson, Christopher; Wang, Mingming; Lv, Weicai; Ding, Hu

doi:10.1016/j.jag.2018.09.004

Cited by 12 publications

(4 citation statements)

References 37 publications

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“…Additionally, surface deformations arising from mining activities within mining areas frequently exhibit rapid rates and extensive magnitudes. The deformation gradient within the central region of the subsidence basin is typically substantial, exceeding the monitoring capabilities inherent to InSAR technology [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

An InSAR Deformation Phase Retrieval Method Combined with Reference Phase in Mining Areas

Wang,

Dai,

Yan

et al. 2023

Remote Sensing

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The acquisition of precise deformation data, including the entirety of the subsidence basin resulting from subterranean mining operations, assumes critical significance in the context of surface impairment monitoring during the course of mining activities. In light of the constraints associated with InSAR technology when applied to the surveillance of expansive deformation gradient mining regions, an innovative approach is advanced herein for InSAR deformation phase retrieval. This approach integrates a reference phase, derivable through a variety of means, including pre-existing models or measurements. Initially, the reference deformation phase is subjected to subtraction from the wrapped InSAR deformation phase, culminating in the derivation of the wrapped phase indicative of the residual phase. Notably, it is posited that the fringe density characterizing the wrapped phase of the residual phase is theoretically diminished in comparison to that of the InSAR wrapped phase. This reduction in complexity in phase unwrapping ensues as a direct consequence. Subsequent to this, the phase retrieval process is effectuated through the summation of the reference phase and the unwrapped phase pertaining to the residual phase. The study harnesses Sentinel-1A and ALOS PALSAR-2 data, employing the PIM-predicted outcomes and GNSS-RTK monitoring outcomes as reference phases for the execution of phase retrieval experiments in two designated study areas. The computation of subsidence is subsequently realized through the combination of the displacement vector depression angle model and the retrieved phase, with the accuracy thereof corroborated through the utilization of leveling data. The experimental findings underscore the efficacy of the reference phase retrieval methodology in securing a more precise deformation phase characterization within expansive deformation gradient mining regions, thereby demonstrating the suitability of this methodological approach.

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Section: Introductionmentioning

confidence: 99%

An InSAR Deformation Phase Retrieval Method Combined with Reference Phase in Mining Areas

Wang,

Dai,

Yan

et al. 2023

Remote Sensing

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“…Interferometric Synthetic Aperture Radar (InSAR) is a powerful technique for extracting information related to ground deformation, which is an effective method for measuring land subsidence by exploring data archives that allow us to study the past, with all-weather and day/night imaging capability, a wide range of spatial coverages, extremely high spatialtemporal resolutions, and remote access to data [12][13][14][15][16][17]. Differential InSAR (D-InSAR) utilizes the temporal baseline to monitor the ground deformation and to estimate such small deformation.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Continuous Track Monitoring in Regions of Differential Land Subsidence Rate Using the Integration of PS-InSAR and SBAS-InSAR

et al. 2023

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It is difficult for single time-series Interferometric Synthetic Aperture Radar (InSAR) processing to guarantee the accuracy and efficiency of continuous track monitoring in regions of differential subsidence. This paper proposes a new method, integrating the Persistent Scatterer InSAR (PS-InSAR) with high precision and the Small Baseline Subset InSAR (SBAS-InSAR) with high efficiency for continuous track monitoring in regions of differential land subsidence rates. Based on PS-InSAR processing, the Iterative Self-Organizing Data Analysis Techniques (ISODATA) algorithm is adopted to search the boundary of differential subsidence between slow and fast subsidence rates. The SBAS-InSAR processing with high frequency is used to continuously track and monitor the regions with fast subsidence rates incorporating original data and newly added data into small data sets from time to time according to SAR data updating, the monitoring results of which are obtained from the weighted average of the added results of SBAS-InSAR processing and the original results of PS-InSAR processing. The impact of SAR data updating on the slow subsidence rate region is so weak that it is not necessary to simultaneously update the corresponding monitoring results to improve global efficiency. If the slow subsidence rates region must be remeasured in relation to its previous subsidence, or the proportion of new data capacity alters compared with the original data set, PS-InSAR processing is used to analyze the whole monitoring region again using the complete data set. A case study performed on the west region of the Qinhuai River in Nanjing, China, indicates that the density of monitoring points in the fast-subsidence region is greatly improved, increasing from 711 points/km2 to 2760 points/km2—an increase of 288.2%.

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“…As an effective method to measure land subsidence, interferometric synthetic aperture radar (InSAR) can study the past by exploring data archives and is a powerful technology for extracting information related to land subsidence with day-and-night and all-weather imaging capabilities, broad spatial coverage, high spatial and temporal resolution, and it can acquire data remotely [1,2]. It has been proved to be a powerful geodetic tool to monitor land subsidence caused by anthropogenic and natural processes for instance underground water resources recharge and discharge, mine subsidence, volcanic eruptions and deflation, landslides, and earthquakes [3][4][5][6][7][8]. Over-exploitation of underground water often causes surface subsidence and gradually develops from low subsidence in a small area to large subsidence in a wide area, on the basis of the vegetation coverage, geological conditions, and urban development condition.…”

Section: Introductionmentioning

confidence: 99%

Land Subsidence Monitoring Method in Regions of Variable Radar Reflection Characteristics by Integrating PS-InSAR and SBAS-InSAR Techniques

Zhang

Guo

et al. 2022

Remote Sensing

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In the InSAR solution, the uneven distribution of permanent scatterer candidates (PSCs) or slowly decoherent filtering phase (SDFP) pixel density in a region of variable radar reflection feature can cause local low accuracy in single interferometry. PSCs with higher-order coherence in Permanent Scatter InSAR (PS-InSAR) are generally distributed in those point targets of urban built-up areas, and SDFP pixels in Small Baseline Subset InSAR (SBAS-InSAR) are generally distributed in those distributed targets of countryside vegetation areas. According to the respective reliability of PS-InSAR and SBAS-InSAR for different radar reflection features, a new land subsidence monitoring method is proposed, which combines PS-SBAS InSAR by data fusion of different interferometry in different radar reflection regions. Density-based spatial clustering of applications with noise (DBSCAN) clustering analysis is carried out on the density of PSCs with higher-order coherence in PS-InSAR processing to zone the region of variable radar reflection features for acquiring the boundary of data fusion. The vector monitoring data of PS-InSAR is retained in the dense region of PSCs with higher-order coherence, and the vector monitoring data of SBAS-InSAR is used in the sparse region of PSCs with higher-order coherence. The vertical displacements from PS-InSAR and SBAS-InSAR are integrated to obtain the optimal land subsidence. The verification case of 38 SAR images acquired by the Sentinel-1A in Suzhou city indicates that the proposed method can automatically choose a matched interferometry technique according to the variability of radar reflection features in the region and improve the accuracy of using a single interferometry method. The integrated method of the combined field is more representative of overall subsidence characteristics than the PS-InSAR-only or SBAS-InSAR-only results, and it is better suited for the assessment of the impact of land subsidence over the study area. The research results of this paper can provide a useful comprehensive reference for city planning and help decrease land subsidence in Suzhou.

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Integration of Range Split Spectrum Interferometry and conventional InSAR to monitor large gradient surface displacements

Cited by 12 publications

References 37 publications

An InSAR Deformation Phase Retrieval Method Combined with Reference Phase in Mining Areas

An InSAR Deformation Phase Retrieval Method Combined with Reference Phase in Mining Areas

A New Method for Continuous Track Monitoring in Regions of Differential Land Subsidence Rate Using the Integration of PS-InSAR and SBAS-InSAR

Land Subsidence Monitoring Method in Regions of Variable Radar Reflection Characteristics by Integrating PS-InSAR and SBAS-InSAR Techniques

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