Monitoring Coastal Reclamation Subsidence in Hong Kong with Distributed Scatterer Interferometry

Sun, Qiwei; Jiang, Liming; Jiang, Mi; Lin, Hui; Ma, Peifeng; Wang, Hansheng

doi:10.3390/rs10111738

Cited by 35 publications

(17 citation statements)

References 41 publications

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“…Thirdly, there are 31 bays with an area larger than 5 km 2 along the coast of the peninsula. Land reclamation activities over these bays caused new land subsidence, which has raised great public concerns for the safety of structures such as harbors, highways, airport runways, and underground facilities [2,15,16]. Interferometric Synthetic Aperture Radar (InSAR) measures various surface displacements by differentiating the phase observations between two complex radar images with a centimeter to millimeter accuracy over large area.…”

Section: Introductionmentioning

confidence: 99%

Multi-Scale and Multi-Dimensional Time Series InSAR Characterizing of Surface Deformation over Shandong Peninsula, China

et al. 2020

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Shandong peninsula, the largest peninsula of China, is prone to severe land subsidence hazards along the coastline. In this paper, we provide, for the first time, multi-scale and multi-dimensional time series deformation measurements of the entire Shandong peninsula with advanced time series Interferometric Synthetic Aperture Radar (InSAR) techniques. We derive the spatiotemporal evolutions of the land subsidence by integrating multi-track Sentinel-1A/B and RADARSAT-2 satellite images. InSAR measurements are cross validated by the independent deformation rate results generated from different SAR tracks, reaching a precision of less than 1.3 cm/a. Two-dimensional time series over the Yellow River Delta (YRD) from 2017 to 2019 are revealed by integrating time series InSAR measurements from both descending and ascending tracks. Land subsidence zones are mainly concentrated on the YRD. In total, twelve typical localized subsidence zones are identified in the cities of Dongying (up to 290 mm/a; brine and groundwater exploitation for industrial usage), Weifang (up to 170 mm/a; brine exploitation for industrial usage), Qingdao (up to 70 mm/a; aquaculture and land reclamation), Yantai (up to 50 mm/a; land reclamation) and Rizhao (up to 60 mm/a; land reclamation). The causal factors of localized ground deformation are discussed, encompassing groundwater and brine exploitation, aquaculture and land reclamation. Multi-scale surveys of spatiotemporal deformation evolution and mechanism analysis are critical to make decisions on underground fluid exploitation and land reclamation.

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Section: Introductionmentioning

confidence: 99%

Multi-Scale and Multi-Dimensional Time Series InSAR Characterizing of Surface Deformation over Shandong Peninsula, China

et al. 2020

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“…In Figure 19, subsiding zones of A and B are plotted in detail on the Google Earth maps. According to previous studies [50,51], zone A has been continuously subsiding for a long period. This region is likely to be influenced by the unconsolidated and soft soil underlay.…”

Section: Deformation Estimates and Cross-validationmentioning

confidence: 95%

“…75% of the airport (approximately 12.40 km 2 ) was reclaimed from the sea. Consequently, the ground and accessary facilities are subject to settlement caused by unconsolidated subsurface soil layers and the penetration of seawater [20,50]. The airport was built based on two original rocky islands of Chek Lap Kok and Lam Chau (see white polygon in Figure 9a), which are dominated by granite bedrock.…”

Section: Study Area and Datamentioning

confidence: 99%

“…To convincingly demonstrate the applicability of the method, PCPWPL has also been applied to different bands and resolution datasets covering HKIA ( Figures S3 and S4 in the Supplementary Material). Regarding details of the airport subsidence, readers are referred to Jiang and Lin [51], Chen and Lin [52], Zhao et al [57], Shi et al [20], Sun et al [50], etc. In Figure 19, subsiding zones of A and B are plotted in detail on the Google Earth maps.…”

Section: Deformation Estimates and Cross-validationmentioning

confidence: 99%

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Potential of Using Phase Correlation in Distributed Scatterer InSAR Applied to Built Scenarios

Shi

Lin

et al. 2020

Remote Sensing

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The improved spatial resolution of Synthetic Aperture Radar (SAR) images from newly launched sensors has promoted a more frequent use of distributed scatterer (DS) interferometry (DSI) in urban monitoring, pursuing sufficient and detailed measurements. However, the commonly used statistical methods for homogeneous pixel clustering by exploring amplitude information are firstly, computationally intensive; furthermore, their necessity when applied to high-coherent built scenarios is little discussed in the literature. This paper explores the potential of using phase information for the detection of homogeneous pixels on built surfaces. We propose a simple phase-correlated pixel (PCP) clustering and introduce a coherence-weighted phase link (WPL), i.e., PCPWPL, to pursue a faster processing of interferogram phase denoising. Rather than relying on the statistical tests of amplitude characteristics, we exploit vector correlation in the complex domain to identify PCPs with similar phase observations, thus, avoiding the intensive hypothesis test. A coherence-weighted phase linking is applied for DS phase reconstruction. The estimation of geophysical parameters, e.g., deformation, is completed using an integrated network of persistent scatterers (PS) and DS. Efficiency of the proposed method is fairly illustrated by both synthetic and real data experiments. Pros and cons of the proposed PCPWPL were analyzed with the comparison to a conventional amplitude-based strategy using an X-band CosmoSkyMed dataset. It is demonstrated that the use of phase correlation is sufficient for DS monitoring in built scenarios, with equivalent measurement quantity and cheaper computational cost.

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“…However, conventional time series InSAR methods used strict selection of the monitoring point target and required a high coherence level in all of interferograms (Prati et al 2010). But there are few artificial targets in coastal areas, atmospheric disturbance is complicated, and subsidence is widespread and unevenly, it is too difficult to accurately reflect the temporal and spatial variations of the land subsidence (Jiang et al 2011;Sun et al 2018). As a result, these methods are limited in coastal land subsidence monitoring.…”

Section: Main Text Introductionmentioning

confidence: 99%

Large-scale Long Time-series InSAR Land Subsidence Research in the Pearl River Estuary

Luo

Gao

et al. 2020

Preprint

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Due to the influence of human activity and changes in natural conditions, the Pearl River Estuary (PRE) has emerged as a large-scale area of land subsidence, which represents a serious threat to the quality of human life and sustainable socio-economic development. In response to the problems associated with the lack of man-made targets of traditional time-series Interferometric Synthetic Aperture Radar (InSAR) in estuaries and other coastal areas, a distributed scatterers (DS) InSAR method based on a spatially adaptive filter and an eigendecomposition algorithm to estimating the optimal phase of statistically homogeneous DS was applied to obtain subsidence data using 67 scenes Sentinel-1A SAR images covering the PRE. The temporal and spatial distribution characteristics of land subsidence were analyzed. The results suggest that land subsidence in the PRE was widespread and unevenly distributed with large differences between 2015 and 2018. The northwest and southeast are the main subsidence areas, with a maximum sedimentation rate greater than 25 mm/year.

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Monitoring Coastal Reclamation Subsidence in Hong Kong with Distributed Scatterer Interferometry

Cited by 35 publications

References 41 publications

Multi-Scale and Multi-Dimensional Time Series InSAR Characterizing of Surface Deformation over Shandong Peninsula, China

Multi-Scale and Multi-Dimensional Time Series InSAR Characterizing of Surface Deformation over Shandong Peninsula, China

Potential of Using Phase Correlation in Distributed Scatterer InSAR Applied to Built Scenarios

Large-scale Long Time-series InSAR Land Subsidence Research in the Pearl River Estuary

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