Lianhuan Wei

Northeastern University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Shanjun Liu

Northeastern University

Mingsheng Liao

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Timo Balz

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Cristiano Tolomei

Istituto Nazionale di Geofisica e Vulcanologia

Yachun Mao

Northeastern University

Christian Bignami

Istituto Nazionale di Geofisica e Vulcanologia

Meng Ao

Northeastern University

Meng Ao

Ningbo University

Xingyu Pan

East China Normal University

Donglin Lv

State Grid Corporation of China (China)

Cooperative Institutions

Northeastern University

Chinese Academy of Sciences

Ministry of Natural Resources

Wuhan University

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

China Geological Survey

China University of Mining and Technology

University of Chinese Academy of Sciences

China University of Geosciences

Tongji University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Upward Magma Migration Within the Multi-Level Plumbing System of the Changbaishan Volcano (China/North Korea) Revealed by the Modeling of 2018–2020 SAR Data

Frontiers in Earth Science (2021)

Elisa Trasatti Cristiano Tolomei Lianhuan Wei Guido Ventura

Changbaishan volcano (China/North Korea border) was responsible for the largest eruption of the first Millennium in 946 CE and is characterized by a multi-level plumbing system. It last erupted in 1903 and presently consists of a cone with summit caldera. An unrest episode occurred between 2002 and 2006, followed by subsidence. Here, we analyze the Changbaishan 2018–2020 deformations by using remote sensing data, detecting an up to 20 mm/yr, NW-SE elongated, Line of Sight movement of its southeastern flank and a −20 mm/yr Line of Sight movement of the southwestern flank. This reveals an unrest occurring during 2018–2020. Modeling results suggest that three active sources are responsible for the observed ground velocities: a deep tabular deflating source, a shallower inflating NW-SE elongated spheroid source, and a NW-SE striking dip-slip fault. The depth and geometry of the inferred sources are consistent with independent petrological and geophysical data. Our results reveal an upward magma migration from 14 to 7.7 km. The modeling of the leveling data of the 2002–2005 uplift and 2009–2011 subsidence depicts sources consistent with the 2018–2020 active system retrieved. The past uplift is interpreted as related to pressurization of the upper portion of the spheroid magma chamber, whereas the subsidence is consistent with the crystallization of its floor, this latter reactivated in 2018–2020. Therefore, Changbaishan is affected by an active magma recharge reactivating a NW-SE trending fault system. Satellite data analysis is a key tool to unravel the magma dynamics at poorly monitored and cross-border volcanoes.

Magma chamber

Caldera

Flank

Unrest

10.3389/feart.2021.741287

Cite

Citations (7)

Characterizing Oil Reservoir from Three-Dimensional Surface Deformation Using Multi-Track Insar: A Case Study in the Liaohe Oilfield, Northeast China

Wei Tang Zhiqiang Gong Xiubo Sun Yu'an Liu Mahdi Motagh

Oil productions can result in land subsidence, causing damages to oil production facilities and surface infrastructures. The surface displacement is predominantly vertical subsidence, which has a great impact on coastal plains near sea level, leading to permanent inundation. The Liaohe oilfield, located in Liaohe River Delta (LRD), northeast of China, is one of the most significant subsidence areas in China as a direct consequence of oil extraction from the reservoir. In this work, we investigate the production-induced surface displacement in the LRD region by taking advantage of multiple geometries of Sentinel-1 radar images. Images from two ascending and two descending tracks are processed by an Interferometric Synthetic Aperture Radar (InSAR) time series analysis over the 2017 to 2021 period, providing displacement rate maps and displacement time series in the radar line-of-sight (LOS) direction.Previous studies carried out in this area assumed the oil production-induced displacement retrieved from InSAR corresponds only to vertical deformation. Here, for the first time, we proposed a method to retrieve the full three-dimensional (3D) displacement field over the oilfield. We retrieved the vertical and east-west displacement components by combining the multiple InSAR geometries LOS observations and retrieved the north-south component based on the assumption of a physical relationship between the horizontal and vertical displacement.The derived 3D displacement fields over Shuguang oilfield exhibit a circular subsidence bowl with a maximum subsiding rate reaching 212 mm/year, accompanied by a centripetal pattern of horizontal displacements with maximum rates up to 50-60 mm/year moving towards the subsidence center. The retrieved-3D displacements are in good agreement with predictions from the geomechanical modeling by assuming a disk-shaped reservoir subject to a uniform reduction in pore fluid pressure. Finally, we show the importance of knowing both the vertical and horizontal displacement in characterizing the lateral boundary of the subsurface reservoir.

10.2139/ssrn.4424622

Cite

Citations (0)

Interactive Web Based Visualization of PS-InSAR and TomoSAR Results

ESASP (2013)

Shanshan Li Lianhuan Wei Timo Balz Mingsheng Liao

Source

Cite

Citations (0)

3D modeling for mine roadway from laser scanning point cloud

Jiateng Guo Jizhou Jiang Lixin Wu Wenhui Zhou Lianhuan Wei

For the mine roadway surface reconstruction based on laser scanning point cloud, the cylinder projection method and Poisson reconstruction method were adopted to build the roadway model in this paper. The two methods were introduced in detail including the three modeling parts of the cylinder projection method and the five parts of the Poisson equation reconstruction method. On this basis, two methods were applied to construct approximately real 3D roadway model by processing laser point cloud data and modeling the model of the roadway based on laser scanning point cloud automatically. Finally, the projection method was compared with Poisson reconstruction method in modeling time and modeling effect based on the actual roadway laser scanning data, in which the two methods showed their respective advantages in efficiency and precision. The methods proposed in this paper could also provide reference for the adjacent applications, such as underground tunnel modeling, etc.

Laser Scanning

3D modeling

Surface reconstruction

Solid modeling

Poisson's equation

10.1109/igarss.2016.7730160

Cite

Citations (10)

Integrated Assessment of Coastal Subsidence in Nansha District, Guangzhou City, China: Insights from SBAS-InSAR Monitoring and Risk Evaluation

Remote Sensing (2024)

Simiao Wang Huimin Sun Lianhuan Wei Pengcheng Pi Min Zeng

Monitoring and assessing coastal subsidence is crucial to mitigating potential disaster risks associated with rising sea levels. Nansha District in Guangzhou City, representing global coastal soft-soil urban areas, faces significant challenges related to ground subsidence. However, the current understanding of the status, causative factors, and risk (includes subsidence susceptibility and vulnerability) assessment of ground subsidence in Nansha District is unclear. To address this gap, we utilized the SBAS-InSAR technique, analyzing 49 Sentinel-1A images from December 2015 to June 2019, for systematic ground subsidence monitoring. Subsequently, we assessed subsidence risk using a comprehensive index method and a risk matrix. Our findings indicate that subsidence velocity primarily ranged from −40 to −5 mm/a, with a spatial pattern of increasing subsidence from inland to coastal areas. The cumulative subsidence process unfolded in four distinct stages. The genesis of land subsidence was linked to an endogenous geological context dominated by soft-soil deposition, influenced by external factors such as surface loading and groundwater extraction. High-risk zones were concentrated in key engineering development areas, transportation pipeline trunk lines, and densely populated regions, demanding special attention. This study provides a foundational resource for disaster prevention and control strategies in Nansha District and similar coastal cities.

GNSS augmentation

Ground subsidence

10.3390/rs16020248

Cite

Citations (6)

Minimum Redundancy Array—A Baseline Optimization Strategy for Urban SAR Tomography

Remote Sensing (2020)

Lianhuan Wei Qiuyue Feng Shanjun Liu Christian Bignami Cristiano Tolomei

Synthetic aperture radar (SAR) tomography (TomoSAR) is able to separate multiple scatterers layovered inside the same resolution cell in high-resolution SAR images of urban scenarios, usually with a large number of orbits, making it an expensive and unfeasible task for many practical applications. Targeting at finding out the minimum number of images necessary for tomographic reconstruction, this paper innovatively applies minimum redundancy array (MRA) for tomographic baseline array optimization. Monte Carlo simulations are conducted by means of Two-step Iterative Shrinkage/Thresholding (TWIST) and Truncated Singular Value Decomposition (TSVD) to fully evaluate the tomographic performance of MRA orbits in terms of detection rates, Cramer Rao Lower Bounds, as well as resistance against sidelobes. Experiments on COSMO-SkyMed and TerraSAR-X/TanDEM-X data are also conducted in this paper. The results from simulations and experiments on real data have both demonstrated that introducing MRA for baseline optimization in SAR tomography can benefit from the dramatic reduction of necessary orbit numbers, if the recently proposed TWIST method is used for tomographic reconstruction. Although the simulation and experiments in this manuscript are carried out using spaceborne data, the outcome of this paper can also give examples for airborne TomoSAR when designing flight orbits using airborne sensors.

10.3390/rs12183100

Cite

Citations (8)

Displacements of Fushun west opencast coal mine revealed by multi-temporal InSAR technology

Geo-spatial Information Science (2023)

Lianhuan Wei Fang Wang Cristiano Tolomei Shanjun Liu Christian Bignami

In this paper, the Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) technology is adopted to monitor the Line of Sight (LOS) displacement of Fushun West Opencast Coal Mine (FWOCM) and its surrounding areas in northeast China using Sentinel-1 Synthetic Aperture Radar (SAR) images acquired from 2018 to 2022. The spatial-temporal evolution of urban subsidence and the south-slope landslide are both analyzed in detail. Comparison with ground measurements and cross-correlation analysis via cross wavelet transform with monthly precipitation data are also conducted, to analyze the influence factors of displacements in FWOCM. The monitoring results show that a subsidence basin appeared in the urban area near the eastern part of the north slope in 2018, with settlement center located at the intersection of E3000 and fault F1. The Qian Tai Shan (QTS) landslide on the south slope, which experienced rapid sliding during 2014 to 2016, presents seasonal deceleration and acceleration with precipitation, with the maximum displacement in vicinity of the Liushan paleochannel. The results of this paper have fully taken in account for the complications of large topographic relief, geological conditions, spatial distribution and temporal evolution characteristics of surface displacements in opencast mining area. The wide range and long time series dynamic monitoring of opencast mine are of great significance to ensure mine safety production and geological disaster prevention in the investigated mining area.

10.1080/10095020.2023.2239285

Cite

Citations (4)

Pre-earthquake MBT anomalies in the Central and Eastern Qinghai-Tibet Plateau and their association to earthquakes

Remote Sensing of Environment (2023)

Shanjun Liu Yi Cui Lianhuan Wei Wenfang Liu Meiyi Ji

Anomaly (physics)

10.1016/j.rse.2023.113815

Cite

Citations (9)

Monitoring Subsidence In Shanghai Combining Small Stack Of SAR Images And Leveling Data

ESASP (2010)