4.6 Article

3-D movement mapping of the alpine glacier in Qinghai-Tibetan Plateau by integrating D-InSAR, MAI and Offset-Tracking: Case study of the Dongkemadi Glacier

期刊

GLOBAL AND PLANETARY CHANGE
卷 118, 期 -, 页码 62-68

出版社

ELSEVIER
DOI: 10.1016/j.gloplacha.2014.04.002

关键词

Three-dimensional movement; Alpine glacier; InSAR; Qinghai-Tibetan Plateau; Variance component estimation

资金

  1. Japan Aerospace Exploration Agency (JAXA) [430, 582]
  2. European Space Agency (ESA) [11321]
  3. National Basic Research Program of China [2013CB733303]
  4. National Natural Science Foundation of China [41222027, 41304011, 41374013]
  5. Hunan Provincial Natural Science Foundation of China [13JJ1006]
  6. National High Technology Research and Development Program of China [2012AA121301]
  7. Research Grants Council of the Hong Kong Special Administrative Region [PolyU 5154/10E, 5381/13E]

向作者/读者索取更多资源

Three-dimensional (3-D) movements of the Dongkemadi Glacier in the Qinghai-Tibetan Plateau over 2007-2010 are fully determined by using L-band Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) ascending and C-band Environmental Satellite (ENVISAT) Advanced Synthetic Aperture Radar (ASAR) descending acquisitions. In order to yield an optimal 3-D solution, a variance component estimation (VCE) algorithm is applied to weigh the D-InSAR and MAI measurements derived from PALSAR data and the Offset-Tracking measurements from ASAR data under the scheme of weighted least squares adjustment. By exploiting the InSAR measurements themselves to determine the weights iteratively, the presented approach results in an accuracy of centimeter to decimeter per year for all the three velocity vectors. The horizontal component shows that the four main tributary streams in the Dongkemadi Glacier are all flowing from the central area of the glacier to its surroundings, along the steepest slope descent direction and with a rate up to about 5 m/yr. The glacier thickening or thinning is resolved from the vertical component by subtracting the down-slope movement. A number of interesting accumulation and ablation areas are also detected, with vertical variations of 1-2 m/yr, as a result of the horizontal glacier movement or the existence of concave terrain. This can be used as a good indication of the ice dynamics and the location of the subglacial water in the alpine glacier. (C) 2014 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Geochemistry & Geophysics

A Phase Optimization Method for DS-InSAR Based on SKP Decomposition From Quad-Polarized Data

Guanya Wang, Bing Xu, Zhiwei Li, Haiqiang Fu, Han Gao, Jie Wan, Changcheng Wang

Summary: A novel DS-InSAR method is proposed, applying the SKP decomposition method to DS candidates. Unlike existing methods, the proposed method considers both polarimetric and interferometric coherence information simultaneously, leading to the separation of polarimetric scattering process for each target and ensuring the physical reliability of the phase optimization solution. The evaluation using C-band Radarsat-2 SAR images over Kilauea Volcano demonstrates that the proposed method achieves a higher density of measurement scatterer points and a higher quality of DS interferometric phase with a temporally stable phase center compared to other methods.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2022)

Article Geochemistry & Geophysics

Resolving 3-D Mining Displacements From Multi-Track InSAR by Incorporating With a Prior Model: The Dynamic Changes and Adaptive Estimation of the Model Parameters

Zefa Yang, Jianjun Zhu, Jian Xie, Zhiwei Li, Lixin Wu, Zelin Ma

Summary: The proposed method aims to improve the accuracy of estimated 3-D mining displacements by dynamically estimating model parameters from multi-track InSAR observations and utilizing the conjugate gradient method for displacement resolution. The new method demonstrates better performance compared to the traditional Sin-LPM method, showing potential for enhancing InSAR-based retrieval of 3-D displacements induced by various activities.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

Article Geochemistry & Geophysics

Prediction of Mining-Induced Kinematic 3-D Displacements From InSAR Using a Weibull Model and a Kalman Filter

Zefa Yang, Bing Xu, Zhiwei Li, Lixin Wu, Jianjun Zhu

Summary: This article proposes a new method for predicting mining-induced displacements by incorporating InSAR with a temporal model. Compared to previous methods, this approach requires fewer prior parameters and shows high accuracy in experiments.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

Review Geochemistry & Geophysics

A review of methods for mitigating ionospheric artifacts in differential SAR interferometry

Bochen Zhang, Wu Zhu, Xiaoli Ding, Chisheng Wang, Songbo Wu, Qin Zhang

Summary: Interferometric synthetic aperture radar (InSAR) has been widely used to measure ground displacements, but ionospheric variations can significantly affect the measurements, especially for low-frequency SAR systems. This paper provides an overview of the latest methods to mitigate the ionospheric contributions and discusses current challenges and future prospects.

GEODESY AND GEODYNAMICS (2022)

Article Environmental Sciences

Vertical Ground Displacements and Its Impact on Erosion along the Karachi Coastline, Pakistan

Shamsa Kanwal, Xiaoli Ding, Songbo Wu, Muhammad Sajjad

Summary: This study used remote sensing and data analysis techniques to investigate vertical ground displacements and coastline erosion in Karachi, Pakistan. The results showed that some areas of the Karachi coastline are subsiding at rates comparable to or higher than the relative sea-level rise, which may accelerate coastal erosion. The causes of ground displacements and coastline erosion were identified as rapid urbanization, construction on reclaimed land, coastline erosion favoring seawater intrusion, failed drainage/sewerage networks, and soil liquefaction.

REMOTE SENSING (2022)

Article Geochemistry & Geophysics

3-D Stereo Geolocation of Radar Reflectors Using Multiaspect SAR Acquisitions

Ruiqing Song, Jicang Wu, Xinyou Song, Tao Li, Lei Zhang

Summary: With the use of new-generation synthetic aperture radar (SAR) satellites with well-controlled orbits and a more accurate timing system, the ability for high-precision geolocation has been confirmed using radar reflectors. This study implemented SAR absolute and differential geolocation methods to determine the coordinates of corner reflectors (CRs) and multidirectional dihedral reflectors (MDRs). Experimental results showed that decimeter- or even centimeter-level positioning accuracy can be achieved using SAR stereo geolocation based on multiaspect SAR acquisitions from RadarSAT-2 (RS-2), COSMO-SkyMed (CSK), Sentinel-1 (S1), and TerraSAR-X (TSX).

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2023)

Article Geochemistry & Geophysics

Dynamically estimating deformations with wrapped InSAR based on sequential adjustment

Jihong Liu, Jun Hu, Zhiwei Li, Lei Zhang, Qian Sun, Jianjun Zhu, Lixin Wu

Summary: This paper proposes a method called SeaInSAR to dynamically estimate surface deformations using wrapped interferometric phase. The method accelerates the estimation process and significantly improves computation efficiency without compromising accuracy. Experiments with simulated and real data show that the SeaInSAR method is more than 20 times faster than the classical static method.

JOURNAL OF GEODESY (2023)

Article Environmental Sciences

Joint Estimation of Ground Displacement and Atmospheric Model Parameters in Ground-Based Radar

Yan Zhu, Bing Xu, Zhiwei Li, Jie Li, Jingxin Hou, Wenxiang Mao

Summary: Atmospheric delay is a major error in ground-based synthetic aperture radar (GBSAR). Existing compensation methods for this error include external meteorological data correction, polynomial fitting, and persistent scatterers SAR interferometry (PSInSAR) calibration. The most popular method for GBSAR atmospheric delay compensation combines polynomial fitting and persistent scatterers targets. However, this method ignores the displacement component of coherent targets, which is impractical. This paper proposes a joint estimation method for ground displacement and atmospheric model parameters.

REMOTE SENSING (2023)

Article Environmental Sciences

Landslide Susceptibility Zoning in Yunnan Province Based on SBAS-InSAR Technology and a Random Forest Model

Meiyu Liu, Bing Xu, Zhiwei Li, Wenxiang Mao, Yan Zhu, Jingxin Hou, Weizheng Liu

Summary: Yunnan Province in China, with its complex topography and frequent landslide disasters, was evaluated using a random forest model based on the average annual deformation rate and other factors. The model achieved an accuracy of 0.80 and an AUC value of 0.87, indicating its reliability and suitability for landslide susceptibility assessment in Yunnan Province.

REMOTE SENSING (2023)

Article Environmental Sciences

Location and Activity Changes of Slow-Moving Landslides Due to an Earthquake: Perspective from InSAR Observations

Caihong He, Qian Sun, Jun Hu, Rong Gui

Summary: Strong earthquakes can trigger many landslides and change the stability of slopes, leading to long-term slope activity. Studying the variation of slow-moving slopes before and after earthquakes is crucial for understanding the mechanism of earthquake-affected landslides and assessing long-term landslide risk in seismically active areas.

REMOTE SENSING (2023)

Article Environmental Sciences

Spatial Distribution Analysis of Landslide Deformations and Land-Use Changes in the Three Gorges Reservoir Area by Using Interferometric and Polarimetric SAR

Jun Hu, Yana Yu, Rong Gui, Wanji Zheng, Aoqing Guo

Summary: In this study, landslide deformations and land-use changes were analyzed in Fengjie County and Wushan County in the Three Gorges Reservoir Area using interferometric and polarimetric SAR. The study found that the distribution of landslides was significantly correlated with land-use types, especially human-associated cultivated vegetation which were more likely to cause landslide deformations.

REMOTE SENSING (2023)

Article Geochemistry & Geophysics

Enhanced Kinematic Inversion of 3-D Displacements, Geometry, and Hydraulic Properties of a North-South Slow-Moving Landslide in Three Gorges Reservoir

Wanji Zheng, Jun Hu, Zhong Lu, Xie Hu, Qian Sun, Jihong Liu, Jianjun Zhu, Zhiwei Li

Summary: Complete and accurate estimation of three-dimensional (3-D) deformations for landslides is challenging, especially for slopes facing north or south. In this study, a topography-constrained strain model is proposed to derive complete 3-D movements by exploiting the spatial relationship of 3-D deformations between neighboring points and assuming surface parallel flow of landslides. The method is tested on both synthetic and real datasets, and the performance of various datasets and the potential of NISAR in deriving time series and 3-D movements are assessed.

JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2023)

Article Environmental Sciences

Coupling the Relationship between Land Subsidence and Groundwater Level, Ground Fissures in Xi'an City Using Multi-Orbit and Multi-Temporal InSAR

Xing Zhang, Zhengfeng Cheng, Bei Xu, Rong Gui, Jun Hu, Changjiang Yang, Qiuhong Yang, Tao Xiong

Summary: The Xi'an region in China has long been facing issues of groundwater depletion, ground fissure hazards, and surface subsidence. This study utilized multi-orbit and multi-temporal InSAR technology to measure displacements and deformation in Xi'an City. The results revealed the control of groundwater flow direction by ground fissures and the correlation between surface deformation and groundwater level. By quantifying the relationship between land subsidence, ground fissures, and groundwater level, this study provides reference for groundwater monitoring and management.

REMOTE SENSING (2023)

Editorial Material Engineering, Electrical & Electronic

Advanced Sensor Technologies in Geospatial Sciences and Engineering 2020

Hyung-Sup Jung, Sang-Hoon Hong, Lei Zhang

JOURNAL OF SENSORS (2023)

Article Geochemistry & Geophysics

Enhancing MTInSAR Phase Unwrapping in Decorrelating Environments by Spatiotemporal Observation Optimization

Hongyu Liang, Lei Zhang, Xin Li

Summary: Phase unwrapping (PhU) is a crucial step in multitemporal interferometric synthetic aperture radar (MTInSAR) processing, and improving the quality of inputs is essential for reliable unwrapping. In this study, we propose a method to enhance the PhU accuracy by improving the quality of differential phase observations. We use a quadtree-based coherence estimation method to efficiently select an optimal interferogram stack and develop a strategy that constructs redundant networks to connect synthetic aperture radar (SAR) images and points.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2023)

暂无数据