Toward Mitigating Stratified Tropospheric Delays in Multitemporal InSAR: A Quadtree Aided Joint Model

Liang, Hongyu; Zhang, Lei; Ding, Xiaoli; Lü, Zhong; Li, Xin

doi:10.1109/tgrs.2018.2853706

Cited by 53 publications

(30 citation statements)

References 42 publications

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“…To this end, we adopted our self-developed multi-temporal InSAR technique termed TCPInSAR 49 to process the data. The estimator has several advanced features, e.g., robust image coregistration 50 , adaptive coherent point selection 44 , quad-tree model for atmospheric delay mitigation 51 and parameter estimation with no need for phase unwrapping 52 , which guarantees the quality of the retrieved DEM.…”

Section: Dataset and Methodologymentioning

confidence: 99%

Assessment of Local Climate Zone Classification Maps of Cities in China and Feasible Refinements

Ren

Cai

et al. 2019

Sci Rep

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Local climate zone (LCZ) maps that describe the urban surface structure and cover with consistency and comparability across cities are gaining applications in studies of urban heat waves, sustainable urbanization and urban energy balance. Following the standard World Urban Database and Access Portal Tools (WUDAPT) method, we generated LCZ maps for over 20 individual cities and 3 major economic regions in China. Based on the confusion matrices constructed by manual comparison between the predicted classes and ground truths, we highlight the following: (1) notable variation in overall accuracies (i.e., 60%–89%) among cities were observed, which was mainly due to class incompleteness and distinct proportions of natural landscapes; (2) building classes in selected cities were poorly classified in general, with a mean accuracy of 48%; (3) the sparsely built class (i.e., LCZ 9), which is rare in the selected Chinese cities, had the lowest classification accuracy (32% on average), and the class of low plants had the widest accuracy range. The findings indicate that the standard WUDAPT method alone is insufficient for generating LCZ products that demonstrate practical value, especially for built-up areas in China, and the misclassification is largely caused by the lack of building height data. This result is confirmed by a refinement test, in which the urban DEM retrieved from Sentinel-1 data with radar interferometry technique was used. The study shows a detailed and comprehensive assessment of applying the WUDAPT method in China and a feasible refinement strategy to improve the classification accuracy, especially for the built-up types of LCZ. The study could serve as a useful reference for generating quality-ensured LCZ maps. This study also examines and explores the relationship between socio-economic status and LCZ products, which is essential for further implementations.

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Section: Dataset and Methodologymentioning

confidence: 99%

Assessment of Local Climate Zone Classification Maps of Cities in China and Feasible Refinements

Ren

Cai

et al. 2019

Sci Rep

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“…In this study, the terrain-related atmospheric phase was removed from the best-fitting linear relation between the phase delay and topography [63], [64]. The Generic Atmospheric Correction online service for InSAR [65] is a practical method for removing the atmospheric phase.…”

Section: A Updating Multisensor Deformation Time Seriesmentioning

confidence: 99%

Long-Term Continuously Updated Deformation Time Series From Multisensor InSAR in Xi'an, China From 2007 to 2021

Wang

Zhao

Zhang

et al. 2021

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

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According to historical records, land subsidence has been occurring in Xi'an, China, since the 1960s, characterized by complex land subsidence patterns. This subsidence has the potential to cause serious societal and economic problems during the process of urbanization. Long-term, large-scale monitoring and dynamic high precision tracking of the evolution of surface deformation associated with geohazards is a prerequisite for effective prevention or advance warning of geological disasters. Synthetic aperture radar interferometry (InSAR), a satellite remote sensing technology, can facilitate such monitoring. Both currently operating and planned SAR satellites would provide extensive amounts of SAR data. In this article, we describe an approach for continuously updating long-term multisensor InSAR deformation time series using robust sequential least squares. It is successfully applied to near-real-time monitoring of the long-term evolution of surface deformation in Xi'an, China, from January 3, 2007 to February 12, 2021, using four SAR satellites: ALOS/PALSAR-1, TerraSAR-X, ALOS/PALSAR-2, and Sentinel-1A. In order to analyze deformation evolution, temporal independent component analysis was used to interpret deformation patterns. We found that land subsidence in Xi'an has slowed and even halted in some areas. However, large areas are uplifting, which presents a potential for geohazards. We conclude that the proposed approach using continuously updated deformation time series from multisensor InSAR can provide nearreal-time deformation measurements, which are necessary for an early warning system.

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“…Empirical corrections try to reduce the tropospheric effects by modeling the relationship between topographic height and InSAR phase values (Bekaert, et al., 2015a; Lin et al., 2010; Wicks, 2002). These methods can be quite successful but do not work well when atmospheric turbulence dominates the tropospheric effects (Liang et al., 2018) and can be troublesome when the deformation is correlated with topography (Delacourt et al., 1998). The second category of corrections aims to mitigate tropospheric delays based on time‐series of SAR images or interferograms by using statistical, geo‐statistical, or adjustment algorithms, such as stacking (Sandwell & Sichoix, 2000), a range of least‐squares‐based methods with an empirical deformation model (Berardino et al., 2002; Cao, Li, Wei, et al., 2017; Li, Cao, et al., 2019), or spatio‐temporal filtering (Cao, Li, & Amelung, 2019; Ferretti et al., 2001, 2011; Hooper, 2008).…”

Section: Introductionmentioning

confidence: 99%

Advanced InSAR Tropospheric Corrections From Global Atmospheric Models that Incorporate Spatial Stochastic Properties of the Troposphere

Cao

Jónsson

2021

JGR Solid Earth

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Toward Mitigating Stratified Tropospheric Delays in Multitemporal InSAR: A Quadtree Aided Joint Model

Cited by 53 publications

References 42 publications

Assessment of Local Climate Zone Classification Maps of Cities in China and Feasible Refinements

Assessment of Local Climate Zone Classification Maps of Cities in China and Feasible Refinements

Long-Term Continuously Updated Deformation Time Series From Multisensor InSAR in Xi'an, China From 2007 to 2021

Advanced InSAR Tropospheric Corrections From Global Atmospheric Models that Incorporate Spatial Stochastic Properties of the Troposphere

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