Modified four-pass differential SAR interferometry for estimating mountain glacier surface velocity fields

Liu, Guang; Guo, Huadong; Yue, Huanyin; Perski, Zbigniew; Yan, Song Y.; Song, Rui; Jiang, Fan; Ruan, Zhixing

doi:10.1080/2150704x.2015.1094588

Cited by 11 publications

(5 citation statements)

References 35 publications

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“…The field-based measurements of ice flow, or ice velocity, relied on the in situ stakes drilled into glacier ice with positioning measurements by GPS or DGPS. Along with the wide application of satellite observations in glacier surface velocities at large scales, innovative techniques have been broadly applied to derive ice velocities, such as feature tracking based on optical imagery [76,79], InSAR [80,81], and SAR offset-tracking [77,82].…”

Section: Glacier Velocitymentioning

confidence: 99%

Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review

Ye,

Wang,

Liu

et al. 2024

Remote Sensing

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Over the past decades, the cryosphere has changed significantly in High Mountain Asia (HMA), leading to multiple natural hazards such as rock–ice avalanches, glacier collapse, debris flows, landslides, and glacial lake outburst floods (GLOFs). Monitoring cryosphere change and evaluating its hydrological effects are essential for studying climate change, the hydrological cycle, water resource management, and natural disaster mitigation and prevention. However, knowledge gaps, data uncertainties, and other substantial challenges limit comprehensive research in climate–cryosphere–hydrology–hazard systems. To address this, we provide an up-to-date, comprehensive, multidisciplinary review of remote sensing techniques in cryosphere studies, demonstrating primary methodologies for delineating glaciers and measuring geodetic glacier mass balance change, glacier thickness, glacier motion or ice velocity, snow extent and water equivalent, frozen ground or frozen soil, lake ice, and glacier-related hazards. The principal results and data achievements are summarized, including URL links for available products and related data platforms. We then describe the main challenges for cryosphere monitoring using satellite-based datasets. Among these challenges, the most significant limitations in accurate data inversion from remotely sensed data are attributed to the high uncertainties and inconsistent estimations due to rough terrain, the various techniques employed, data variability across the same regions (e.g., glacier mass balance change, snow depth retrieval, and the active layer thickness of frozen ground), and poor-quality optical images due to cloudy weather. The paucity of ground observations and validations with few long-term, continuous datasets also limits the utilization of satellite-based cryosphere studies and large-scale hydrological models. Lastly, we address potential breakthroughs in future studies, i.e., (1) outlining debris-covered glacier margins explicitly involving glacier areas in rough mountain shadows, (2) developing highly accurate snow depth retrieval methods by establishing a microwave emission model of snowpack in mountainous regions, (3) advancing techniques for subsurface complex freeze–thaw process observations from space, (4) filling knowledge gaps on scattering mechanisms varying with surface features (e.g., lake ice thickness and varying snow features on lake ice), and (5) improving and cross-verifying the data retrieval accuracy by combining different remote sensing techniques and physical models using machine learning methods and assimilation of multiple high-temporal-resolution datasets from multiple platforms. This comprehensive, multidisciplinary review highlights cryospheric studies incorporating spaceborne observations and hydrological models from diversified techniques/methodologies (e.g., multi-spectral optical data with thermal bands, SAR, InSAR, passive microwave, and altimetry), providing a valuable reference for what scientists have achieved in cryosphere change research and its hydrological effects on the Third Pole.

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Section: Glacier Velocitymentioning

confidence: 99%

Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review

Ye,

Wang,

Liu

et al. 2024

Remote Sensing

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“…Multiple methods are available to monitor and measure the surface glacier velocities like SAR feature tracking technique [21][22], interferometry of SAR imagery [23][24], and cross-correlation of optical imagery [12,[25][26][27]. Many studies are conducted using SAR datasets as well as optical data.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Variation of Glaciers Velocity in Hunza Basin, Gilgit Baltistan Using Advanced Geospatial Techniques

Iqbal¹,

Ahmad²

2023

Pol. J. Environ. Stud.

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World's largest glaciers lie in Hindu Kush Himalayan (HKH) outside polar region, are the source of fresh water which accommodates the needs of millions of people living downstream. Impact of changing climate on cryosphere can be measured critically from glacier movement due to global warming. Due to complex terrain and unpredictable weather, it is not feasible to measure glaciers' velocity and movement through field surveys physically. For this purpose, the current study aimed to assess the variation of glaciers velocity using advance geospatial technique like the co-registration and correlation (COSI-CORR) of optically sensed satellite images. Time-series analysis on the Landsat-8 data (2013-2020) revealed successfully for computing the surface ice velocity of glaciers of Hunza Basin. Results show that the velocity of a glacier increases with the altitude whereas speed decreases at the terminus. Moreover, it has been noted from spatial patterns of glacier surface ice velocity that the tributary glaciers contribute to the mainstream glacier velocity significantly, which increases at the terminus. Subsequently, the varying ice velocity was determined by orientation, debris cover, glacier size, and altitude for glaciers. The study recommended to regularly monitor the dynamics of glaciers in this region to cater the impacts of global warming and climate change.

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“…Multi-temporal interferometry (MT-InSAR) appears as the unique remote sensing technology able to monitor deformation from space with millimetre accuracy [12][13][14][15]. Indeed, MT-InSAR approach, mainly including Persistent Scatter InSAR (PS-InSAR), Small BAselines Sub-set InSAR (SBAS-InSAR) and Distributed Scatter InSAR (DS-InSAR), have been widely used when extracting the earth's surface deformation [16][17][18] and present an efficient approach for various geohazards, with emphasis to landslide hazard, risk management and disaster prevention [4][5][6][19][20][21][22][23][24][25][26]. MT-InSAR was the main technology used to monitor glaciers, landslides deformations and subsidence in different areas and contexts within this Dragon 4 project's scope.…”

Section: Introductionmentioning

confidence: 99%

Geohazards Monitoring and Assessment Using Multi-Source Earth Observation Techniques

et al. 2021

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Geological disasters are responsible for the loss of human lives and for significant economic and financial damage every year. Considering that these disasters may occur anywhere—both in remote and/or in highly populated areas—and anytime, continuously monitoring areas known to be more prone to geohazards can help to determine preventive or alert actions to safeguard human life, property and businesses. Remote sensing technology—especially satellite-based—can be of help due to its high spatial and temporal coverage. Indeed, data acquired from the most recent satellite missions is considered suitable for a detailed reconstruction of past events but also to continuously monitor sensitive areas on the lookout for potential geohazards. This work aims to apply different techniques and methods for extensive exploitation and analysis of remote sensing data, with special emphasis given to landslide hazard, risk management and disaster prevention. Multi-temporal SAR (Synthetic Aperture Radar) interferometry, SAR tomography, high-resolution image matching and data modelling are used to map out landslides and other geohazards and to also monitor possible hazardous geological activity, addressing different study areas: (i) surface deformation of mountain slopes and glaciers; (ii) land surface displacement; and (iii) subsidence, landslides and ground fissure. Results from both the processing and analysis of a dataset of earth observation (EO) multi-source data support the conclusion that geohazards can be identified, studied and monitored in an effective way using new techniques applied to multi-source EO data. As future work, the aim is threefold: extend this study to sensitive areas located in different countries; monitor structures that have strategic, cultural and/or economical relevance; and resort to artificial intelligence (AI) techniques to be able to analyse the huge amount of data generated by satellite missions and extract useful information in due course.

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Modified four-pass differential SAR interferometry for estimating mountain glacier surface velocity fields

Cited by 11 publications

References 35 publications

Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review

Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review

Assessing the Variation of Glaciers Velocity in Hunza Basin, Gilgit Baltistan Using Advanced Geospatial Techniques

Geohazards Monitoring and Assessment Using Multi-Source Earth Observation Techniques

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