Relevant bibliographies by topics / GB-InSAR

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
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Academic literature on the topic 'GB-InSAR'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "GB-InSAR"

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Xiao, Ting, Wei Huang, Yunkai Deng, Weiming Tian, and Yonglian Sha. "Long-Term and Emergency Monitoring of Zhongbao Landslide Using Space-Borne and Ground-Based InSAR." Remote Sensing 13, no. 8 (2021): 1578. http://dx.doi.org/10.3390/rs13081578.

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This work presents the ideal combination of space-borne and ground-based (GB) Interferometric Synthetic Aperture Radar (InSAR) applications. In the absence of early investigation reporting and specialized monitoring, the Zhongbao landslide unexpectedly occurred on 25 July 2020, forming a barrier lake that caused an emergency. As an emergency measure, the GB-InSAR system was installed 1.8 km opposite the landslide to assess real-time cumulative deformation with a monitoring frequency of 3 min. A zone of strong deformation was detected, with 178 mm deformation accumulated within 15 h, and then a
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Wolff, Charlotte, Marc-Henri Derron, Carlo Rivolta, and Michel Jaboyedoff. "A tool for estimating ground-based InSAR acquisition characteristics prior to monitoring installation and survey and its differences from satellite InSAR." Geoscientific Instrumentation, Methods and Data Systems 13, no. 2 (2024): 225–48. http://dx.doi.org/10.5194/gi-13-225-2024.

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Abstract. Synthetic Aperture Radar (SAR) acquisition can be performed from satellites or from the ground by means of a so-called GB-InSAR (Ground-Based Interferometry SAR), but the signal emission and the output image geometry slightly differ between the two acquisition modes. Those differences are rarely mentioned in the literature. This paper proposes to compare satellite and GB-InSAR in terms of (1) acquisition characteristics and parameters to consider; (2) SAR image resolution; and (3) geometric distortions that are foreshortening, layover, and shadowing. If in the case of satellite SAR,
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Ferrigno, Federica, Giovanni Gigli, Riccardo Fanti, Emanuele Intrieri, and Nicola Casagli. "GB-InSAR monitoring and observational method for landslide emergency management: the Montaguto earthflow (AV, Italy)." Natural Hazards and Earth System Sciences 17, no. 6 (2017): 845–60. http://dx.doi.org/10.5194/nhess-17-845-2017.

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Abstract. On 10 March 2010, because of the heavy rainfall in the preceding days, the Montaguto landslide (Southern Italy) reactivated, affecting both state road 90 Delle Puglie and the Rome–Bari railway. A similar event occurred on May 2005 and on September 2009. As a result, the National Civil Protection Department (DPC) started an accurate monitoring and analysis program. A monitoring project using the GB-InSAR (ground-based interferometric synthetic aperture radar) system was emplaced to investigate the landslide kinematics, plan urgent safety measures for risk mitigation and design long-te
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Wang, Peng, Cheng Xing, and Xiandong Pan. "Reservoir Dam Surface Deformation Monitoring by Differential GB-InSAR Based on Image Subsets." Sensors 20, no. 2 (2020): 396. http://dx.doi.org/10.3390/s20020396.

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Ground-based synthetic aperture radar interferometry (GB-InSAR) enables the continuous monitoring of areal deformation and can thus provide near-real-time control of the overall deformation state of dam surfaces. In the continuous small-scale deformation monitoring of a reservoir dam structure by GB-InSAR, the ground-based synthetic aperture radar (GB-SAR) image acquisition may be interrupted by multiple interfering factors, such as severe changes in the meteorological conditions of the monitoring area and radar equipment failures. As a result, the observed phases before and after the interrup
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Zheng, Xiangtian, Xiufeng He, Xiaolin Yang, et al. "Terrain Point Cloud Assisted GB-InSAR Slope and Pavement Deformation Differentiate Method in an Open-Pit Mine." Sensors 20, no. 8 (2020): 2337. http://dx.doi.org/10.3390/s20082337.

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Ground-based synthetic aperture radar interferometry (GB-InSAR) is a valuable tool for deformation monitoring. The 2D interferograms obtained by GB-InSAR can be integrated with a 3D terrain model to visually and accurately locate deformed areas. The process has been preliminarily realized by geometric mapping assisted by terrestrial laser scanning (TLS). However, due to the line-of-sight (LOS) deformation monitoring, shadow and layover often occur in topographically rugged areas, which makes it difficult to distinguish the deformed points on the slope between the ones on the pavement. The exta
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Han, Jianfeng, Honglei Yang, Youfeng Liu, Zhaowei Lu, Kai Zeng, and Runcheng Jiao. "A Deep Learning Application for Deformation Prediction from Ground-Based InSAR." Remote Sensing 14, no. 20 (2022): 5067. http://dx.doi.org/10.3390/rs14205067.

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Ground-based synthetic aperture radar interferometry (GB-InSAR) has the characteristics of high precision, high temporal resolution, and high spatial resolution, and is widely used in highwall deformation monitoring. The traditional GB-InSAR real-time processing method is to process the whole data set or group in time sequence. This type of method takes up a lot of computer memory, has low efficiency, cannot meet the timeliness of slope monitoring, and cannot perform deformation prediction and disaster warning forecasting. In response to this problem, this paper proposes a GB-InSAR time series
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Ferrigno, F., G. Gigli, R. Fanti, and N. Casagli. "GB-InSAR monitoring and observational method for landslide emergency management: the Montaguto earthflow (AV, Italy)." Natural Hazards and Earth System Sciences Discussions 3, no. 12 (2015): 7247–73. http://dx.doi.org/10.5194/nhessd-3-7247-2015.

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Abstract. On 10 March 2010, due to the heavy rainfall that occurred on the previous days, the Montaguto earthflow reactivated, involving the road SS 90 "Delle Puglie", as had happened previously in May 2005 and in September 2009, and reaching the Roma–Bari railway. This determined a special attention of the National Civil Protection Department and a widespread monitoring and analysis program was initiated. A monitoring activity using GB-InSAR (Ground Based Interferometric Synthetic Aperture Radar) system began, in order to investigate the landslide kinematics, to plan urgent safety measures fo
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Xi, Jiabao, Zhiyong Suo, and Jingjing Ti. "The First Experimental Validation of a Communication Base Station as a Ground-Based SAR for Deformation Monitoring." Remote Sensing 17, no. 7 (2025): 1129. https://doi.org/10.3390/rs17071129.

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Integrated Sensing and Communication (ISAC) is an important trend for future commutation networks. The Communication Base Station (CBS) can be used as a Ground-Based Synthetic Aperture Radar (GB-SAR). By using Synthetic Aperture Radar (SAR) images obtained at a different time, GB-SAR will have the ability to detect millimeter-level ground deformations with Interferometric SAR (InSAR) processing through a phase difference operation. In this paper, we investigated the observation and performance for millimeter-level ground deformation detection based on the CBS with Differential InSAR (D-InSAR)
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Lin, Zihao, Yan Duan, Yunkai Deng, Weiming Tian, and Zheng Zhao. "An Improved Multi-Baseline Phase Unwrapping Method for GB-InSAR." Remote Sensing 14, no. 11 (2022): 2543. http://dx.doi.org/10.3390/rs14112543.

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Ground-based interferometric synthetic aperture radar (GB-InSAR) technology can be applied to generate a digital elevation model (DEM) with high spatial resolution and high accuracy. Phase unwrapping is a critical procedure, and unwrapping errors cannot be effectively avoided in the interferometric measurements of terrains with discontinuous heights. In this paper, an improved multi-baseline phase unwrapping (MB PU) method for GB-InSAR is proposed. This method combines the advantages of the cluster-analysis-based MB PU algorithm and the minimum cost flow (MCF) method. A cluster-analysis-based
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Del Ventisette, C., E. Intrieri, G. Luzi, N. Casagli, R. Fanti, and D. Leva. "Using ground based radar interferometry during emergency: the case of the A3 motorway (Calabria Region, Italy) threatened by a landslide." Natural Hazards and Earth System Sciences 11, no. 9 (2011): 2483–95. http://dx.doi.org/10.5194/nhess-11-2483-2011.

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Abstract. The rapid assessment of the evolution of the phenomena which occur during an emergency, along with an all weather and h24 monitoring capability, are probably the main characteristics of a system aimed at optimizing intervention in natural disasters, such as landslide collapses. A few techniques are able to provide all these features remotely, hence assuring safe conditions to operators. This paper reports on an application of the GB-InSAR (Ground-Based Interferometric Synthetic Aperture Radar) technique to monitor a landslide threatening an infrastructure, the A3 motorway in the Cala
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Dissertations / Theses on the topic "GB-InSAR"

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Zhou, Zhiwei. "The applications of InSAR time series analysis for monitoring long-term surface change in peatlands." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4875/.

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In the past three decades, peatlands all over the world such as upland bogs, tropical fens, have been undergoing significant and rapid degradations. These degradations cause carbon loss and CO2 emissions, and also fuel climate change. In this research, I present three case studies on how space geodetic tools, especially Radar Interferometry (InSAR), can be used to monitor and to advance our understanding of the long-term surface changes in peatlands. First, I investigate the eroding extent and severity of upland UK peatlands using InSAR. Both short wavelength C-band and long wavelength L-band
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Feng, Wanpeng. "Modelling co- and post-seismic displacements revealed by InSAR, and their implications for fault behaviour." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6284/.

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The ultimate goal of seismology is to estimate the timing, magnitude and potential spatial extent of future seismic events along pre-existing faults. Based on the rate-state friction law, several theoretical physical earthquake models have been proposed towards this goal. Tectonic loading rate and frictional properties of faults are required in these models. Modern geodetic observations, e.g. GPS and InSAR, have provided unprecedented near-field observations following large earthquakes. In theory, according to the frictional rate and state asperity earthquake model, velocity-weakening regions
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Liu, Peng. "InSAR observations and modeling of Earth surface displacements in the Yellow River Delta (China)." Thesis, University of Glasgow, 2012. http://theses.gla.ac.uk/3787/.

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Subsidence in river deltas is a complex process that has both natural and human causes (Boesch et al., 1994). The Yellow River delta is used for farming, contains an important nature reserve for wild animals especially for waterfowl, has a population of 1.64 million, and is the location of significant oil fields (Chen et al., 2012). Increasing human activities like farming and petroleum extraction are affecting the Yellow River delta, and one consequence is subsidence. This subsidence may have social, economic and environmental impacts (Syvitski et al., 2009). The purpose of this thesis is to
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BARDI, FEDERICA. "Optimization of ground based radar techniques for early warning systems." Doctoral thesis, 2015. http://hdl.handle.net/2158/1009166.

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The thesis has the main objective of improving landslide risk mitigation strategies, by exploiting advanced technologies, such as Ground Based Interferometric Synthetic Aperture Radar (GB-InSAR) systems. During the research programme, these instruments have been used and optimized to integrate existent Early Warning Systems, in order to reduce landslide risk.
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Book chapters on the topic "GB-InSAR"

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Nolesini, Teresa, William Frodella, Luca Lombardi, et al. "Remote 3D Mapping and GB-InSAR Monitoring of the Calatabiano Landslide (Southern Italy)." In Advancing Culture of Living with Landslides. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53487-9_31.

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Corsini, Alessandro, Matteo Berti, Antonio Monni, et al. "Rapid Assessment of Landslide Activity in Emilia Romagna Using GB-InSAR Short Surveys." In Landslide Science and Practice. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31445-2_51.

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Conference papers on the topic "GB-InSAR"

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Wang, Haoqi, Yu Liu, Xiheng Li, and Hanzhi Shao. "An Improved Method for Phase Unwrapping of GB-InSAR." In 2024 6th International Conference on Electronic Engineering and Informatics (EEI). IEEE, 2024. http://dx.doi.org/10.1109/eei63073.2024.10696752.

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Wang, Changjun, Longyue Wang, Xiaoxiao Li, Sen Pang, Zihang Jiang, and Yunkai Deng. "Spatial-Temporal Phase Unwrapping Method for GB-InSAR Based on Kalman Filter." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868258.

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Giusti, Elisa, Samuele Gelli, and Marco Martorella. "Atmospheric effects reduction in GB-InSAR applications." In 2021 CIE International Conference on Radar (Radar). IEEE, 2021. http://dx.doi.org/10.1109/radar53847.2021.10027954.

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Zhao, Zheng, Weiming Tian, Yunkai Deng, and Tao Zeng. "GB-InSAR Special Issues during its Applications on DEM Generation." In 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2019. http://dx.doi.org/10.1109/apsar46974.2019.9048458.

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Liu, Miao, Ke-liang Ding, Xianglei Liu, and Zichao Song. "High-speed railway bridge dynamic measurement based on GB-InSAR technology." In International Conference on Intelligent Earth Observing and Applications, edited by Guoqing Zhou and Chuanli Kang. SPIE, 2015. http://dx.doi.org/10.1117/12.2221988.

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Chen, Jiao, Yu Liu, Chongyang Jin, Jin Tang, and Zhihang Yang. "A GB-InSAR Atmospheri Phase Compensation Method in Complex Atmospheric Environment." In EITCE 2022: 2022 6th International Conference on Electronic Information Technology and Computer Engineering. ACM, 2022. http://dx.doi.org/10.1145/3573428.3573473.

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Ruiz-Armenteros, Antonio M., José Manuel Delgado-Blasco, Matus Bakon, et al. "Monitoring embankment dams from space using satellite radar interferometry: Case studies from RemoDams project." In 5th Joint International Symposium on Deformation Monitoring. Editorial de la Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/jisdm2022.2022.13883.

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The monitoring procedures with different geotechnical/structural sensors and classical geodetic techniques including GNSS are the usual practices in most of the dams where these controls are established. Other geomatic techniques such as TLS, GB-SAR and multi-temporal InSAR (MT-InSAR), allow the determination of 3D displacements with the advantage of covering a large number of control points. In particular, MT-InSAR techniques enable the detection of displacements at a very low cost compared to other techniques, and without the need for field work or the installation of special equipment. In a
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Jiang, Zhibiao, Jian Wang, Qian Song, and Zhimin Zhou. "A simplified approach for a downward-looking GB-InSAR to terrain mapping." In 2016 IEEE International Conference on Digital Signal Processing (DSP). IEEE, 2016. http://dx.doi.org/10.1109/icdsp.2016.7868544.

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Huang, Z. S., Y. L. Qi, J. P. Sun, W. X. Tan, Y. P. Wang, and X. L. Yang. "Atmospheric phase correction based on coherent scatterers in GB-SAR interferometry using a single InSAR Pair." In 2016 Progress in Electromagnetic Research Symposium (PIERS). IEEE, 2016. http://dx.doi.org/10.1109/piers.2016.7734879.

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Feng, Huaichao, Pingping Huang, Yaolong Qi, Weixian Tan, Wei Xu, and Xinwei Yan. "A Real-time Selection Method of Adaptive Threshold PS Points for Time Series GB-InSAR Images." In 2021 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2021. http://dx.doi.org/10.1109/piers53385.2021.9695131.

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Reports on the topic "GB-InSAR"

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Maharjan, Sudan Bikash, Pradeep Dangol, Tenzing Chogyal Sherpa, et al. Insights behind the unexpected flooding in the Budhi Gandaki River, Gorkha, Nepal. International Centre for Integrated Mountain Development (ICIMOD), 2024. https://doi.org/10.53055/icimod.1084.

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On 21 April 2024, a flood from the glacial lake Birendra Tal was triggered by a massive ice avalanche caused by calving from the Manaslu Glacier. Manaslu, the eighth-highest mountain in the world at 8,163 meters above sea level, is located in west-central Nepal. The displacement wave resulted in the sudden release of water from the lake outlet into the Budhi Gandaki River in Gorkha district. This event was not a typical glacial lake outburst flood (GLOF), as the overflows did not breach the moraine dam, and no significant impact on the dam was observed post-event. However, the threat remains.
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