Relevant bibliographies by topics / GBInSAR

Academic literature on the topic 'GBInSAR'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "GBInSAR"

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Di Traglia, Federico, Sonia Calvari, Luca D'Auria, Teresa Nolesini, Alessandro Bonaccorso, Alessandro Fornaciai, Antonietta Esposito, Antonio Cristaldi, Massimiliano Favalli, and Nicola Casagli. "The 2014 Effusive Eruption at Stromboli: New Insights from In Situ and Remote-Sensing Measurements." Remote Sensing 10, no. 12 (December 14, 2018): 2035. http://dx.doi.org/10.3390/rs10122035.

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In situ and remote-sensing measurements have been used to characterize the run-up phase and the phenomena that occurred during the August–November 2014 flank eruption at Stromboli. Data comprise videos recorded by the visible and infrared camera network, ground displacement recorded by the permanent-sited Ku-band, Ground-Based Interferometric Synthetic Aperture Radar (GBInSAR) device, seismic signals (band 0.02–10 Hz), and high-resolution Digital Elevation Models (DEMs) reconstructed based on Light Detection and Ranging (LiDAR) data and tri-stereo PLEIADES-1 imagery. This work highlights the importance of considering data from in situ sensors and remote-sensing platforms in monitoring active volcanoes. Comparison of data from live-cams, tremor amplitude, localization of Very-Long-Period (VLP) source and amplitude of explosion quakes, and ground displacements recorded by GBInSAR in the crater terrace provide information about the eruptive activity, nowcasting the shift in eruptive style of explosive to effusive. At the same time, the landslide activity during the run-up and onset phases could be forecasted and tracked using the integration of data from the GBInSAR and the seismic landslide index. Finally, the use of airborne and space-borne DEMs permitted the detection of topographic changes induced by the eruptive activity, allowing for the estimation of a total volume of 3.07 ± 0.37 × 106 m3 of the 2014 lava flow field emplaced on the steep Sciara del Fuoco slope.
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Zhou, L., J. Guo, and F. Yang. "DEFORMATION MONITORING AND ANALYSIS OF LSP LANDSLIDE BASED ON GBINSAR." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (May 2, 2018): 2541–45. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2541-2018.

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Monitoring and analyzing the deformation of the river landslide in city to master the deformation law of landslide, which is an important means of landslide safety assessment. In this paper, aiming at the stability of the Liu Sha Peninsula Landslide during its strengthening process after the landslide disaster. Continuous and high precision deformation monitoring of the landslide was carried out by GBInSAR technique. Meanwhile, the two-dimensional deformation time series pictures of the landslide body were retrieved by the time series analysis method. The deformation monitoring and analysis results show that the reinforcement belt on the landslide body was basically stable and the deformation of most PS points on the reinforcement belt was within 1 mm. The deformation of most areas on the landslide body was basically within 4 mm, and the deformation presented obvious nonlinear changes. GBInSAR technique can quickly and effectively obtain the entire deformation information of the river landslide and the evolution process of deformation.
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Calvari, Sonia, Federico Di Traglia, Gaetana Ganci, Flora Giudicepietro, Giovanni Macedonio, Annalisa Cappello, Teresa Nolesini, et al. "Overflows and Pyroclastic Density Currents in March-April 2020 at Stromboli Volcano Detected by Remote Sensing and Seismic Monitoring Data." Remote Sensing 12, no. 18 (September 16, 2020): 3010. http://dx.doi.org/10.3390/rs12183010.

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Between 28 March and 1 April 2020, Stromboli volcano erupted, with overflows from the NE crater rim spreading along the barren Sciara del Fuoco slope and reaching the sea along the NW coast of the island. Poor weather conditions did not allow a detailed observation of the crater zone through the cameras monitoring network, but a clear view of the lower slope and the flows expanding in the area allowed us to characterize the flow features. This evidence was integrated with satellite, GBInSAR, and seismic data, thus enabling a reconstruction of the whole volcanic event, which involved several small collapses of the summit cone and the generation of pyroclastic density currents (PDCs) spreading along the slope and on the sea surface. Satellite monitoring allowed for the mapping of the lava flow field and the quantification of the erupted volume, and GBInSAR continuous measurements detected the crater widening and the deflation of the summit cone caused by the last overflow. The characterization of the seismicity made it possible to identify the signals that are associated with the propagation of PDCs along the volcano flank and, for the first time, to recognize the signal that is produced by the impact of the PDCs on the coast.
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Martino, S., and P. Mazzanti. "Integrating geomechanical surveys and remote sensing for sea cliff slope stability analysis: the Mt. Pucci case study (Italy)." Natural Hazards and Earth System Sciences 14, no. 4 (April 11, 2014): 831–48. http://dx.doi.org/10.5194/nhess-14-831-2014.

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Abstract. An integrated approach to the geomechanical characterization of coastal sea cliffs was applied at Mt. Pucci (Gargano promontory, Southern Italy) by performing field-based geomechanical investigations and remote geostructural investigations via a terrestrial laser scanner (TLS). The consistency of the integrated techniques allowed to achieve a comprehensive and affordable characterization of the main joint sets on the sea cliff slope. The observed joint sets were considered to evaluate the proneness of the slope to rock failures by attributing safety factor (SF) values to the topple- and wedge-prone rock blocks under three combined or independent triggering conditions: (a) hydrostatic water pressures within the joints, (b) seismic action, and (c) strength reduction due to weathering of the joint surfaces. The combined action of weathering and water pressures within the joints was also considered, resulting in a significant decrease in the stability. Furthermore, remote survey analyses via InfraRed Thermography (IRT) and Ground Based Synthetic Aperture Radar Interferometry (GBInSAR) were performed to evaluate the role of the surveyed joint sets in inducing instabilities in the Mt. Pucci sea cliff. The results from the remote surveys: (i) GBInSAR monitoring revealed permanent displacements coupled to cyclic daily displacements, these last ones detected in certain sectors of the cliff wall; (ii) the thermal images allowed us to identify anomalies that correspond well to the main joints and to the slope material released due to recent collapses.
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Barla, Marco, Francesco Antolini, Davide Bertolo, Patrick Thuegaz, Davide D'Aria, and Giovanni Amoroso. "Remote monitoring of the Comba Citrin landslide using discontinuous GBInSAR campaigns." Engineering Geology 222 (May 2017): 111–23. http://dx.doi.org/10.1016/j.enggeo.2017.03.019.

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Pratesi, Fabio, Teresa Nolesini, Silvia Bianchini, Davide Leva, Luca Lombardi, Riccardo Fanti, and Nicola Casagli. "Early Warning GBInSAR-Based Method for Monitoring Volterra (Tuscany, Italy) City Walls." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8, no. 4 (April 2015): 1753–62. http://dx.doi.org/10.1109/jstars.2015.2402290.

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Romeo, Saverio, Lucio Di Matteo, Daniel Kieffer, Grazia Tosi, Aurelio Stoppini, and Fabio Radicioni. "The Use of Gigapixel Photogrammetry for the Understanding of Landslide Processes in Alpine Terrain." Geosciences 9, no. 2 (February 21, 2019): 99. http://dx.doi.org/10.3390/geosciences9020099.

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The work in this paper illustrates an experimental application for geosciences by coupling new and low cost photogrammetric techniques: Gigapixel and Structure-from-Motion (SfM). Gigapixel photography is a digital image composed of billions of pixels (≥1000 megapixels) obtained from a conventional Digital single-lens reflex camera (DSLR), whereas the SfM technique obtains three-dimensional (3D) information from two-dimensional (2D) image sequences. The field test was carried out at the Ingelsberg slope (Bad Hofgastein, Austria), which hosts one of the most dangerous landslides in the Salzburg Land. The stereographic analysis carried out on the preliminary 3D model, integrated with Ground Based Synthetic Aperture Radar Interferometry (GBInSAR) data, allowed us to obtain the main fractures and discontinuities of the unstable rock mass.
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Nolesini, Teresa, Federico Di Traglia, Chiara Del Ventisette, Sandro Moretti, and Nicola Casagli. "Deformations and slope instability on Stromboli volcano: Integration of GBInSAR data and analog modeling." Geomorphology 180-181 (January 2013): 242–54. http://dx.doi.org/10.1016/j.geomorph.2012.10.014.

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Del Ventisette, Chiara, Nicola Casagli, Joaquim Fortuny-Guasch, and Dario Tarchi. "Ruinon landslide (Valfurva, Italy) activity in relation to rainfall by means of GBInSAR monitoring." Landslides 9, no. 4 (December 7, 2011): 497–509. http://dx.doi.org/10.1007/s10346-011-0307-3.

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Qiu, Zhiwei, Jianping Yue, Xueqin Wang, and Shun Yue. "DEFORMATION MONITORING OF LARGE STRUCTURES BY GROUND-BASED SAR INTERFEROMETRY." Boletim de Ciências Geodésicas 22, no. 1 (March 2016): 35–53. http://dx.doi.org/10.1590/s1982-21702016000100003.

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In this paper, a ground-based SAR interferometry technology was used to monitor major enginerring. This technology has been recognized as a powerful tool for terrain monitoring and structural change detecting. Deformation monitoring for large project has been a hot issue among them. According to GBSAR interferometry principle and characteristics of IBIS system, the authors analysis the error sources of deformation monitoring, and experimentally extract atmospheric phase which should removed based on permanent scatterer analysis. Atmospheric disturbance effect analysis is discussed in this paper, and an atmospheric correction method is proposed to remove atmospheric effect, then the effective displacement can be retrieved. Results from this approach have been compared with that from traditional method in this campaign, GBInSAR technology can be exploited successfully in deformation monitoring for major projects with high accuracy 1-3.
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Dissertations / Theses on the topic "GBInSAR"

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FERRIGNO, FEDERICA. "Integration between radar interferometric monitoring and hydrological modelling for the study of landslide evolution." Doctoral thesis, 2014. http://hdl.handle.net/2158/852103.

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The main objective of this PhD program was: to discuss the behavior of a continuous creep component in clayey o silty-clayey soils by means of an hydrological and stability model; the use of GBInSAR data analysis for the study of landslide evolution; the validation of the stabilization works effectiveness through the coupled action of the GBInSAR and Observational Method; the integration between interferometry analysis the and the model performances.
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Books on the topic "GBInSAR"

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Alamu, Dosu. Gbegede gbina. Ibadan: Frontline Publishers, 1987.

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Conference papers on the topic "GBInSAR"

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Wang, Xueqin, Jianping Yue, Shanming Qiu, Zhiwei Qiu, and Shun Yue. "A comparison of atmospheric disturbance correction techniques in GBInSAR." In International Workshop on Thin Films for Electronics, Electro-Optics, Energy and Sensors, edited by Guru Subramanyam. SPIE, 2015. http://dx.doi.org/10.1117/12.2197604.

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Yue, Jianping, Shun Yue, Zhiwei Qiu, Xueqin Wang, and Leping Guo. "Research on the method of extracting DEM based on GBInSAR." In SPIE Defense + Security, edited by Monte D. Turner and Gary W. Kamerman. SPIE, 2016. http://dx.doi.org/10.1117/12.2222285.

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Yue, Jianping, Shun Yue, Yi Pan, Zhiwei Qiu, and Leping Guo. "Research on the method of correcting atmospheric disturbance for GBInSAR based on permanent scatterer points." In SPIE Remote Sensing, edited by Claudia Notarnicola, Simonetta Paloscia, Nazzareno Pierdicca, and Edward Mitchard. SPIE, 2016. http://dx.doi.org/10.1117/12.2241282.

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