Bibliographies thématiques / Remote Sensing, Landslides, SAR Interferometry

Littérature scientifique sur le sujet « Remote Sensing, Landslides, SAR Interferometry »

Auteur : Grafiati
Publié le 10 mars 2023

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Articles de revues sur le sujet "Remote Sensing, Landslides, SAR Interferometry"

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Lan, Hengxing, Xiao Liu, Langping Li, Quanwen Li, Naiman Tian et Jianbing Peng. « Remote Sensing Precursors Analysis for Giant Landslides ». Remote Sensing 14, no 17 (4 septembre 2022) : 4399. http://dx.doi.org/10.3390/rs14174399.

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Monitoring and early warning systems for landslides are urgently needed worldwide to effectively reduce the losses of life and property caused by these natural disasters. Detecting the precursors of giant landslides constitutes the premise of landslide monitoring and early warning, and remote sensing is a powerful means to achieve this goal. In this work, we aim to summarize the basic types and evolutionary principles of giant landslide precursors, describe the remote sensing methods capable of identifying those precursors, and present typical cases of related sliding. Based on a review of the literature and an analysis of remote sensing imagery, the three main types of remote sensing techniques for capturing the geomorphological, geotechnical, and geoenvironmental precursors of giant landslides are optical, synthetic aperture radar (SAR), and thermal infrared methods, respectively. Time-series optical remote sensing data from medium-resolution satellites can be used to obtain abundant information on geomorphological changes, such as the extension of cracks and erosion ditches, and band algebraic analysis, image enhancement, and segmentation techniques are valuable for focusing on the locations of geomorphological landslide precursors. SAR sensors have the ability to monitor the slight slope deformation caused by unfavorable geological structures and can provide precursor information on imminent failure several days before a landslide; furthermore, persistent scatterer interferometric SAR has significant advantages in large-scale surface displacement monitoring. Thermal infrared imagery can identify landslide precursors by monitoring geoenvironmental information, especially in permafrost regions where glaciers are widely distributed; the reason may be that freeze–thaw cycles and snowmelt caused by increased temperatures affect the stability of the surface. Optical, SAR, and thermal remote sensing all exhibit unique advantages and play an essential role in the identification of giant landslide precursors. The combined application of these three remote sensing technologies to obtain the synthetic geomorphological, geotechnical, and geoenvironmental precursors of giant landslides would greatly promote the development of landslide early warning systems.
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Chaturvedi, Sudhir Kumar. « Landslide Assessment Using Sentinel-I SAR-C Interferometry Technique ». Nature Environment and Pollution Technology 21, no 3 (1 septembre 2022) : 1201–7. http://dx.doi.org/10.46488/nept.2022.v21i03.025.

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Landslides might remain unknown or unnoticed for a long time in various remote areas due to the unavailability of optical images caused by cloud persistence, which creates difficulties for civil protection rescue operations, and disaster management as well. Rapid crisis response for humanitarian and reconstruction operations in the affected area after such dangerous landslides is necessary. Thus, a rapid detection map is necessary to detect the affected area with damage grade and level for further investigation and human safety protocols. To detect landslide incidents, the unprecedented availability of Sentinel-1 SAR-C band images provides new solutions and better safety reports. In this study, we performed an efficient evaluation of Sentinel-1 SAR C band images before and after landslide incidents. This study provides a comprehensive evaluation based on the advanced space-borne remote sensing technology aiming at SAR products for rapid damage detection and analysis with respect to the interferometric coherence and intensity correlation. We presented the results of a pilot study on the Rudraprayag Uttarakhand massive landslide incident, which includes the different types, sizes, slope expositions, and human safety aspects. Our study and outcomes represent an updated method, which provides a solution for critical terrain rescue operations and an upgraded geomatics map that provides subsidence data with historical data with topographical statistics. Finally, an outlook into the Sentinel-1 SAR-C analysis demonstrates probable solutions to certain constraints, enabling global applicability of the proposed damage assessment methods with the improved accuracy from 50 to 60 % for the obtained temporal resolution datasets.
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Liu, Xiaojie, Chaoying Zhao, Qin Zhang, Jianbing Peng, Wu Zhu et Zhong Lu. « Multi-Temporal Loess Landslide Inventory Mapping with C-, X- and L-Band SAR Datasets—A Case Study of Heifangtai Loess Landslides, China ». Remote Sensing 10, no 11 (7 novembre 2018) : 1756. http://dx.doi.org/10.3390/rs10111756.

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The Interferometric Synthetic Aperture Radar (InSAR) technique is a well-developed remote sensing tool which has been widely used in the investigation of landslides. Average deformation rates are calculated by weighted averaging (stacking) of the interferograms to detect small-scale loess landslides. Heifangtai loess terrace, Gansu province China, is taken as a test area. Aiming to generate multi-temporal landslide inventory maps and to analyze the landslide evolution features from December 2006 to November 2017, a large number of Synthetic Aperture Radar (SAR) datasets acquired by L-band ascending ALOS/PALSAR, L-band ascending and descending ALOS/PALSAR-2, X-band ascending and descending TerraSAR-X and C-band descending Sentinel-1A/B images covering different evolution stages of Heifangtai terrace are fully exploited. Firstly, the surface deformation of Heifangtai terrace is calculated for independent SAR data using the InSAR technique. Subsequently, InSAR-derived deformation maps, SAR intensity images and a DEM gradient map are jointly used to detect potential loess landslides by setting the appropriate thresholds. More than 40 active loess landslides are identified and mapped. The accuracy of the landslide identification results is verified by comparison with published literatures, the results of geological field surveys and remote sensing images. Furthermore, the spatiotemporal evolution characteristics of the landslides during the last 11 years are revealed for the first time. Finally, strengths and limitations of different wavelength SAR data, and the effects of track direction, geometric distortions of SAR images and the differences in local incidence angle between two adjacent satellite tracks in terms of small-scale loess landslides identification, are analyzed and summarized, and some suggestions are given to guide the future identification of small-scale loess landslides with the InSAR technique.
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Atanasova, Mila, Hristo Nikolov et Lyubka Pashova. « Application of InSAR satellite method for mapping of active landslides in Bulgaria – opportunities and perspectives ». Proceedings of the ICA 4 (3 décembre 2021) : 1–6. http://dx.doi.org/10.5194/ica-proc-4-10-2021.

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Abstract. Landslides are geological phenomena that are spread on Bulgarian territory mainly along the northern Black Sea coast and on the right banks of the Danube in the western part of the country. Mitigation of the negative effects of these destructive geological phenomena is the compilation of inventory maps of their distribution and registers with the main characteristics of the individual landslides. Conventional methods for making such maps are time-consuming and resource-intensive. Modern satellite, air and ground-based remote sensing technologies facilitate the production of landslide maps, reducing the time and resources required to compile and systematically update them. In this paper, we demonstrate the applicability of Differential Sentinel-1A satellite SAR interferometry (DInSAR) to assess the movement activity and use the information for further updating the national landslide inventories in Bulgaria. We perform several analyses based on multi-temporal InSAR techniques of Sentinel-1A data over selected areas prone to landslides. The use of new opportunities for free access to satellite images, which can be applied in conjunction with other methods, greatly facilitates the processes of inventory, mapping and study of landslides.
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Ramirez, Ryan, Seung-Rae Lee et Tae-Hyuk Kwon. « Long-Term Remote Monitoring of Ground Deformation Using Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR) : Applications and Insights into Geotechnical Engineering Practices ». Applied Sciences 10, no 21 (23 octobre 2020) : 7447. http://dx.doi.org/10.3390/app10217447.

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Development of synthetic aperture radar (SAR) technology and the dedicated suite of processing tools have aided the evolution of remote sensing techniques for various Earth Observation (EO) applications. Interferometric SAR (InSAR) is a relatively new geodetic technique which provides high-speed and reliable geographic, geologic, and hazards information allowing the prognosis of future environmental and urban planning. In this study, we explored the applicability of two differential interferometry techniques, conventional and advanced differential InSAR (A-DInSAR), for topographic mapping and long-term geotechnical monitoring by exploiting satellite data, particularly Sentinel-1 SAR data, which is publicly shared. We specifically used the open-source tools of SeNtinel Application Platform (SNAP) and Stanford Method for Persistent Scatterers (StaMPS) for interferometric data processing to implement A-DInSAR. This study presents various applications, which include generation of a digital elevation model (DEM), mapping of seismically induced displacement and associated damages, and detection and long-term monitoring of tunneling-induced ground deformation and rainfall-induced landslide. Geometric and temporal decorrelations posed challenges and limitations in the successful implementation of Sentinel-1 SAR interferometry specifically in vegetated areas. The presented results proved the validity and reliability of the exploited SAR data and InSAR techniques for addressing geotechnical engineering related problems.
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Sousa, Joaquim J., Guang Liu, Jinghui Fan, Zbigniew Perski, Stefan Steger, Shibiao Bai, Lianhuan Wei et al. « Geohazards Monitoring and Assessment Using Multi-Source Earth Observation Techniques ». Remote Sensing 13, no 21 (24 octobre 2021) : 4269. http://dx.doi.org/10.3390/rs13214269.

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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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Pastor, José Luis, Roberto Tomás, Luca Lettieri, Adrián Riquelme, Miguel Cano, Donato Infante, Massimo Ramondini et Diego Di Martire. « Multi-Source Data Integration to Investigate a Deep-Seated Landslide Affecting a Bridge ». Remote Sensing 11, no 16 (12 août 2019) : 1878. http://dx.doi.org/10.3390/rs11161878.

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The integration of data from different sources can be very helpful in understanding the mechanism, the geometry, the kinematic, and the area affected by complex instabilities, especially when the available geotechnical information is limited. In this work, the suitability of different techniques for the study of a deep-seated landslide affecting a bridge in Alcoy (Spain) is evaluated. This infrastructure presents such severe damage that has rendered the bridge unusable, which prevents normal access to an important industrial area. Differential SAR Interferometry (DInSAR) and terrestrial Light Detection and Ranging (LiDAR) remote sensing techniques have been combined with ground displacement monitoring techniques, such as inclinometers and conventional geological and geotechnical investigation, electrical-seismic tomography, damage, and topographic surveys, to determine the boundaries, mechanism, and kinematics of the landslide. The successful case study that is illustrated in this work highlights the potential and the need for integrating multi-source data for the optimal management of complex landslides and the effective design of remedial measurements.
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Meng, Qingkai, Pierluigi Confuorto, Ying Peng, Federico Raspini, Silvia Bianchini, Shuai Han, Haocheng Liu et Nicola Casagli. « Regional Recognition and Classification of Active Loess Landslides Using Two-Dimensional Deformation Derived from Sentinel-1 Interferometric Radar Data ». Remote Sensing 12, no 10 (12 mai 2020) : 1541. http://dx.doi.org/10.3390/rs12101541.

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Identification and classification of landslides is a preliminary and crucial work for landslide risk assessment and hazard mitigation. The exploitation of surface deformation velocity derived from satellite synthetic aperture radar interferometry (InSAR) is a consolidated and suitable procedure for the recognition of active landslides over wide areas. However, the calculated displacement velocity from InSAR is one-dimensional motion along the satellite line of sight (LOS), representing a major hurdle for landslide type and failure mechanism classification. In this paper, different velocity datasets derived from both ascending and descending Sentinel-1 data are employed to analyze the surface ground movement of the Huangshui region (Northwestern China). With global warming, precipitation in the Huangshui region, geologically belonging to the loess basin in the eastern edge of Qing-Tibet Plateau, has been increasing, often triggering a large number of landslides, posing a potential threat to local citizens and natural and anthropic environments. After processing both SAR data geometries, the surface motion was decomposed to obtain the two-dimensional displacements (vertical and horizontal E–W). Thus, a classification criterion of the loess landslide types and failure mode is proposed, according to the analysis of deformation direction, velocities, texture, and topographic characteristics. With the support of high-resolution images acquired by remote sensing and unmanned aerial vehicle (UAV), 14 translational slides, seven rotational slides, and 10 loess flows were recognized in the study area. The derived results may provide solid support for stakeholders to comprehend the hazard of unstable slopes and to undertake specific precautions for moderate and slow slope movements.
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Xue, D., X. Yu, S. Jia, F. Chen et X. Li. « STUDY ON LANDSLIDE DISASTER EXTRACTION METHOD BASED ON SPACEBORNE SAR REMOTE SENSING IMAGES – TAKE ALOS PALSAR FOR AN EXAMPLE ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (30 avril 2018) : 2023–27. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2023-2018.

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In this paper, sequence ALOS PALSAR data and airborne SAR data of L-band from June 5, 2008 to September 8, 2015 are used. Based on the research of SAR data preprocessing and core algorithms, such as geocode, registration, filtering, unwrapping and baseline estimation, the improved Goldstein filtering algorithm and the branch-cut path tracking algorithm are used to unwrap the phase. The DEM and surface deformation information of the experimental area were extracted. Combining SAR-specific geometry and differential interferometry, on the basis of composite analysis of multi-source images, a method of detecting landslide disaster combining coherence of SAR image is developed, which makes up for the deficiency of single SAR and optical remote sensing acquisition ability. Especially in bad weather and abnormal climate areas, the speed of disaster emergency and the accuracy of extraction are improved. It is found that the deformation in this area is greatly affected by faults, and there is a tendency of uplift in the southeast plain and western mountainous area, while in the southwest part of the mountain area there is a tendency to sink. This research result provides a basis for decision-making for local disaster prevention and control.
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Balbarani, S., P. A. Euillades, L. D. Euillades, F. Casu et N. C. Riveros. « Atmospheric corrections in interferometric synthetic aperture radar surface deformation – a case study of the city of Mendoza, Argentina ». Advances in Geosciences 35 (4 septembre 2013) : 105–13. http://dx.doi.org/10.5194/adgeo-35-105-2013.

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Abstract. Differential interferometry is a remote sensing technique that allows studying crustal deformation produced by several phenomena like earthquakes, landslides, land subsidence and volcanic eruptions. Advanced techniques, like small baseline subsets (SBAS), exploit series of images acquired by synthetic aperture radar (SAR) sensors during a given time span. Phase propagation delay in the atmosphere is the main systematic error of interferometric SAR measurements. It affects differently images acquired at different days or even at different hours of the same day. So, datasets acquired during the same time span from different sensors (or sensor configuration) often give diverging results. Here we processed two datasets acquired from June 2010 to December 2011 by COSMO-SkyMed satellites. One of them is HH-polarized, and the other one is VV-polarized and acquired on different days. As expected, time series computed from these datasets show differences. We attributed them to non-compensated atmospheric artifacts and tried to correct them by using ERA-Interim global atmospheric model (GAM) data. With this method, we were able to correct less than 50% of the scenes, considering an area where no phase unwrapping errors were detected. We conclude that GAM-based corrections are not enough for explaining differences in computed time series, at least in the processed area of interest. We remark that no direct meteorological data for the GAM-based corrections were employed. Further research is needed in order to understand under what conditions this kind of data can be used.
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Thèses sur le sujet "Remote Sensing, Landslides, SAR Interferometry"

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Kim, Jin Woo. « Applications of Synthetic Aperture Radar (SAR)/ SAR Interferometry (InSAR) for Monitoring of Wetland Water Level and Land Subsidence ». The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374107720.

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BERTONE, ALDO. « Slow movements in alpine terrains analysed combining different technologies : SAR interferometry, UAV-based remote sensing and GPS measurements ». Doctoral thesis, Università degli studi di Pavia, 2020. http://hdl.handle.net/11571/1317326.

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Borghero, Cecilia. « Feasibility study of dam deformation monitoring in northern Sweden using Sentinel1 SAR interferometry ». Thesis, Högskolan i Gävle, Samhällsbyggnad, GIS, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-26002.

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Dams are man-made structures that in order to keep functioning and to be considered structurally healthy need constant monitoring. Assessing the deformation of dams can be time consuming and economically costly. Recently, the technique of Interferometric Synthetic Aperture Radar (InSAR) has proved its potential to measure ground and structural deformation. This geodetic method represents a cost-effective way to monitor millimetre-level displacements and can be used as supplemental analysis to detect movements in the structure and its surroundings. The objective of this work is to assess the practicality of the method through the analysis of the surface deformation of the Ajaure dam located in northern Sweden, in the period 2014-2017, using the freely available Sentinel-1A images. The scenes, 51 in ascending and 47 in descending mode, were processed exploiting the Persistent Scatterer (PS) technique and deformation trends, and time series were produced. Built in the 60’s, the Ajaure embankment dam is considered as high consequence, meaning that a failure would cause socio-economic damages to the communities involved and, for this reason, the dam needs constant attention. So far, a program of automatic measurements in situ has been collecting data, which have been used partly to compare with InSAR results. Results of the multi temporal analysis of the limited PS points on/around the dam show that the dam has been subsiding more intensely toward the centre, where maximum values are of approximately 5 ± 1.25 mm/year (descending) and 2 ± 1.27 mm/year (ascending) at different locations (separated of approximately 70 m). Outermost points instead show values within -0.7 and 0.9 mm/year, describing a stable behaviour. The decomposition of the rate has furthermore revealed that the crest in the observation period has laterally moved toward the reservoir. It has been observed that the operation of loading and unloading the reservoir influence the dam behaviour. The movements recorded by the PS points on the dam also correlate with the air temperature (i.e. seasonal cycle). The research revealed that the snow cover and the vegetation could have interfered with the signal, that resulted in a relative low correlation. Therefore, the number of PS points on and around the dam is limited, and comparison with the geodetic data is only based on a few points. The comparison shows general agreement, showing the capacities of the InSAR method. The study constitutes a starting point for further improvements, for example observation in longer period when more Sentinel1 images of the study area are collected. Installation of corner reflectors at the dam site and/or by use of high resolution SAR data is also suggested.
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Siemer, Kyle W. « You've got that Sinking Feeling : Measuring Subsidence above Abandoned Underground Mines in Ohio, USA ». University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1372439025.

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Duro, Javier. « Development of new methodologies for the detection, measurement and on going monitoring of ground deformation using spaceborne SAR data ». Phd thesis, Université Paris-Est, 2010. http://tel.archives-ouvertes.fr/tel-00638089.

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Persistent Scatterer Interferometric techniques are very powerful geodetic tools for land deformation monitoring that offer the typical advantages of the satellite remote sensing SAR (Synthetic Aperture Radar) systems : a wide coverage at a relatively high resolution. Those techniques are based on the analysis of a set of SAR images acquired over a given area. They overcome the decorrelation problem by identifying elements (in resolution cells) with a high quality returned SAR signal which remains stable in a series of interferograms. These techniques have been useful for the analysis of urban areas, where man-made objects produce good reflections that dominate over the background scattering, as well as in field areas where the density of infrastructures is more limited. Typically, PSI technique requires an approximate a priori temporal model for the detection of the deformation, even though characterizing the temporal evolution of a deformation is commonly one of the objectives of any study.This work is focused on a particular PSI technique, which is named Stable Point Network (SPN) and that it has been completely developed by Altamira Information in 2003. The work concisely outlines the main characteristics of this technique, and describes its main products: average deformation maps, deformation time series of the measured points, and the so-called maps of the residual topographic error, which are used to precisely geocode the PSI products. The main objectives of this PhD are the identification and analysis of the drawbacks of this processing chain, and the development of new tools and methodologies in order to overcome them. First, the performances of the SPN technique are examined and illustrated by means of practical cases (based on real test sites made with data coming from different sensors) and simulated scenarios.Thus, the main drawbacks of the technique are identified and discussed, such as the lack of automatic quality control parameters, the evaluation of the input data quality, the selection of good points for the measurements and the use of a functional model to unwrap the phases based on a linear deformation trend in time. Then, different enhancements are proposed. In particular, the automatic quality control of the coregistration procedure has been introduced through the analysis of the inter-pixel position of some natural point targets-like pixels identified within the images. The enhancements in the selection of the final points of measurements (the final PSI map) come by means of the analysis of the SAR signal signature of the strong targets presented within the image, in order to select only the center of the main lobe as point of measurement. The introduction of robustness within some critical steps of the technique is done by means of the analysis of the rotational of the estimates in close loops within a network of relative measurements, and by means of the implementation of a different integration methodology, which can be ran in parallel in order to compare it with the classical one. Finally, the main drawback of the technique, the use of a linear model for the detection of ground deformations, is addressed with the development of a new fitting methodology which allows possible change of trends within the analyzed time span. All those enhancements are evaluated with the use of real examples of applications and with simulated data. In particular, the new methodology for detecting non-linear ground deformations has been tested in the city of Paris, where a large stacking of ERS1/2 and ENVISAT SAR images are available. Those images are covering a very large time period of analysis at where some known non-linear ground deformations where occurring
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Bäßler, Michael. « Untersuchungen zu Topographie und Bewegungsverhalten für das Küstengebiet des Riiser-Larsen- und Brunt-Schelfeises mittels Radarfernerkundung ». Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-70201.

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Mit der Weiterentwicklung von Sensoren und Methoden hat die Satellitenfernerkundung innerhalb der letzten 20 Jahre nicht nur einen großen Stellenwert in der Polarforschung errungen, sondern vor allem die Herangehensweisen an eine Vielzahl glaziologischer Probleme grundlegend verändert. RADAR-Sensoren (Radio Detection and Ranging) sind dabei besonders bei der Erkundung vereister Regionen hilfreich und tragen stark zur Ableitung klimasensitiver Parameter im Bereich der Antarktis bei. Nach einem einführenden Überblick im ersten wird im zweiten Kapitel mit Darstellungen zur Nutzung von RADAR-Messungen für Fernerkundungszwecke begonnen. Die zur Erhöhung der räumlichen Auflösung verwendete SAR-Prozessierung (Synthetic Aperture Radar) wird daraufhin kurz umrissen, bevor zu den Grundlagen der interferometrischen Auswertung (InSAR) übergeleitet wird. Bei dieser werden Phasendifferenzen unterschiedlicher Aufnahmen für Messzwecke eingesetzt. In den Beschreibungen wird aufgezeigt, wie sich derartige Messungen für die Ermittlung von Oberflächentopographie und Fließverhalten in polaren Regionen nutzen lassen. Eine Darstellung der ebenfalls benötigten Methoden zur Bestimmung von Verschiebungen in Bildpaaren und das Messprinzip der Laseraltimetrie beenden diesen Theorieteil. Das dritte Kapitel der Arbeit ist der Vorstellung des Arbeitsgebietes und der genutzten Datensätze gewidmet. Nach der geographischen Einordnung des Untersuchungsgebietes werden die wichtigsten glaziologischen Gegebenheiten vorgestellt. In der sich anschließenden Beschreibung genutzter Datensätze werden vor allem die für diese Region verfügbaren Höhen- und Ozeangezeitenmodelle intensiver besprochen. Die Bestimmung der Oberflächentopographie durch differentielle SAR-Interferometrie (DInSAR) ist Thema des vierten Kapitels. Nachdem die nötigen technischen Aspekte des Prozessierungsablaufes knapp erläutert wurden, werden die Unterschiede bei der Doppeldifferenzbildung benachbarter und identischer Wiederholspuren herausgearbeitet. Danach wird am Beispiel gezeigt, wie mithilfe von ICESat-Daten (Ice, Cloud and Land Elevation Satellite) eine Basislinienverbesserung zur genaueren Höhenbestimmung durchgeführt werden kann. Die ursprünglich separat abgeleiteten Höhenmodelle werden dann zu einer gemeinsamen Lösung kombiniert, welche abschließend hinsichtlich ihrer Genauigkeit besprochen und anderen Modellen vergleichend gegenübergestellt wird. Die Ableitung von Fließgeschwindigkeiten mit dem Hintergrund einer späteren Berechnung von Massenflüssen ist Gegenstand des fünften Kapitels, wobei drei unterschiedliche Methoden genutzt werden. Im ersten Fall wird das für RADAR-Bilder typische, hochfrequente Rauschen zur Bestimmung von Verschiebungen in ALOS-Daten (Advanced Land Observing Satellite) genutzt. Mit dieser Methode können durchgehende Fließgeschwindigkeitsfelder vom aufliegenden Bereich über die Aufsetzzone bis auf das Schelfeis ermittelt werden. DesWeiteren werden aus ERS-Daten (European Remote Sensing Satellite), die über einen Zeitraum von reichlich 13 Jahren vorliegen, Verschiebungen durch die Verfolgung von unveränderten, aber sich bewegenden Eisstrukturen bestimmt. Bei der als Drittes angewendeten, interferometrischen Methode werden aufsteigende und absteigende Satellitenspuren kombiniert, um die Fließinformationen zu rekonstruieren. In den jeweiligen Sektionen wird neben der Vorstellung der Ergebnisse auch deren Genauigkeit diskutiert. Das letzte große, sechste Kapitel untergliedert sich in zwei Teile. Im ersten dieser beiden Abschnitte wird gezeigt, wie InSAR und DInSAR zur Lagekartierung der Aufsetzzone eingesetzt werden können. Dabei werden die auf diese Weise ermittelten Ergebnisse dargestellt und diskutiert. Im zweiten, umfangreicheren Teil werden die zuvor gewonnenen Höhen- und Geschwindigkeitsinformationen genutzt, um deren Einfluss aus den InSAR-Messungen zu eliminieren, wodurch vertikale Höhenunterschiede mittels InSAR bestimmt werden können. Dies ist besonders für den Bereich der Aufsetzzone und des Schelfeises von Interesse, da diese Areale teilweise oder vollständig von Ozeangezeiten beeinflusst werden. Nach einer Luftdruckkorrektion werden den ermittelten Höhenunterschieden (entlang selektierter Profile) die Prädiktionen zwölf verfügbarer Ozeangezeitenmodelle gegenübergestellt. Die RMS-Werte dieser Differenzen werden abschließend genutzt, um die Qualität der Ozeangezeitenmodelle für die Region des Arbeitsgebietes einzustufen. Zum Abschluss werden in einer Zusammenfassung noch einmal die wichtigsten Ergebnisse aller Kapitel resümiert und bewertet
The development of new satellite sensors within the last 20 years along with changes towards more sophisticated processing strategies has not only given a new impetus to remote sensing data in view of polar research but also changed how a variety of glaciological problems are being addressed today. Particularly RADAR (radio detection and ranging) sensors are well-suited for the observation of glaciated areas and have already helped to retrieve a vast amount of climate sensitive parameters from the area of Antarctica. After an introductive overview at the beginning, the second chapter continues with the description of how RADAR measurements can be used to generate remote sensing images. The principle of synthetic aperture RADAR (SAR) which allows a better focusing of the RADAR measurements and therewith a rigorous increase of the spatial resolution of the images is outlined generally before more precise descriptions explain how interferometric SAR (InSAR) analyses can be used for the determination of surface topography heights and area-wide flow velocities. Two other techniques, namely matching methods for the determination of shifts between two images as well as the laser satellite altimetry are explained at the end of this chapter which closes the theoretical basics. The next section introduces the area of interest along with data sets which were used for validation purposes. After a careful exposure of the geographical situation, single objects such as ice streams and ice shelves are described in more detail. The following part, the data set introduction, has besides the description of other measurements its focus on topography and ocean tide models which are available for the area of investigation. Chapter four deals with the estimation of surface topography heights from differential InSAR (DInSAR) analyses. Therein the major differences for the usage of similar repeat tracks in contrast to neighboring, overlapping tracks will be shown and thoroughly discussed. The example of one track will be used to demonstrate how the required baseline estimation can be achieved if ICESat (Ice, Cloud and Land Elevation Satellite) profiles are used as tie points. Afterwards, all separately derived height models will be combined to obtain one final solution followed by an error analysis. A comparison to other available elevation models visualizes the spatial resolution of the derived model. The utilization of three different methods for the estimation of surface flow velocities (with the background of possible mass flux determinations) is the topic of the fifth chapter. The first case describes the usage of the high frequent noise contained in RADAR images for the tracking of horizontal surface displacements. Based on ALOS (Advanced Land Observing Satellite) data a flow velocity field which extends from the interior of the ice sheet across the grounding zone up to the ice shelf will be presented. Secondly, geocoded ERS (European Remote Sensing Satellite) images covering a time span of more than 13 years are used to track the motions of well-structured flat areas (ice shelf and glacier tongue). In the third approach used descending and ascending satellite passes will be combined in conjunction with a surface parallel flow assumption to interferometrically derive flow velocities in grounded areas. In each section respective errors will be discussed in order to evaluate the accuracy of the performed measurements. The last bigger chapter, number six, is divided into two sections. In the first one the adoption of SAR and InSAR with respect to the mapping of the grounding line location will be demonstrated. Results of the entire working area will be presented and compared to other data. The second section deploys the results of topography heights and flow velocities to remove both effects from the InSAR measurements which then allows to also measure height changes. This is of particular interest for the floating areas of ice shelf which are fully affected by ocean tides as well as for the grounding zone locations which partially experience deformations due to these height changes. After the correction for air pressure, changes between the image acquisitions, height changes along selected profiles are compared to twelve different ocean tide models. The RMS values of the differences are then used to evaluate the quality of these models for the working area. The most important results and conclusions are summarized in the last chapter
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7

FRANGIONI, SARA. « Applications of sar interferometry for monitoring ground deformations and engineering infrastructures ». Doctoral thesis, 2015. http://hdl.handle.net/2158/1002203.

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Tesi di ricerca sul monitoraggio di fenomeni di deformazione al suolo e di infrastrutture effettuata attraverso l’utilizzo di tecniche interferometriche di base ed avanzate. Il lavoro è stato svolto presso il Dipartimento di Scienze della Terra di Firenze-Università degli Studi di Firenze (DST-UNIFI) e presso l’Institut de Geomàtica, all’interno del CTTC (Centre Tecnològic Telecomunicacions Catalunya), Castelldefels, Barcelona, Spagna. This thesis work aims to demonstrate the potential of SAR interferometry as a tool for detecting and monitoring hydrogeological instability. This goal is achived by means of a compilation of interesting results obtained applying different DInSAR methodologies and analysed at different scale levels: form single infrastructures up to regional map. The greatest importance of this scientific work is how the combination of InSAR and geomorphologic tools to improve hydrogeological risk assessment both at regional and local scale.
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8

Yang, Dochul. « Estimating high resolution atmospheric phase screens from differential InSAR measurements ». Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-05-969.

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Atmospheric artifacts superimposed on interferometric synthetic aperture radar (InSAR) measurements have the potential to greatly impede the accurate estimation of deformation signals. The research presented in this dissertation demonstrates a novel InSAR time series algorithm, called HiRAPS algorithm, for effectively estimating high resolution atmospheric phase screens (APS) from differential InSAR measurements. In summary, the HiRAPS algorithm utilizes short time span differential interferograms and rearranges components of existing advanced InSAR techniques to identify a higher density of scatterers used to create the APS. The improved scatterer density allows one to estimate high spatial frequency atmospheric signals not recovered from existing InSAR time series techniques. The HiRAPS algorithm was tested with simulated and actual data, which contain phase contributions from linear and nonlinear deformation, topographic height errors, and atmospheric artifacts. Simulated differential interferograms were generated to have the same spatial and temporal baselines as the actual differential interferograms formed from RADARSAT-1 data over Phoenix, Arizona. The APS superimposed on simulated differential interferograms were then estimated and compared to simulated APS. The root mean square error (RMSE) between the estimated and simulated APS was calculated to qualitatively assess the different values obtained. The RMSE was 0.26 radians when utilizing the HiRAPS algorithm, compared to an RMSE value of 0.39 radians using an implementation of the permanent scatterer (PS) algorithm. The HiRAPS algorithm also showed its applicability for estimating high spatial frequency atmospheric signals for actual data. Sixty-six SAR images, starting from October 5, 2002 and spanning 5 years, were processed for this research. The APS pixel density obtained using the HiRAPS algorithm was 253 pixels per square kilometer, compared to 14 pixels per square kilometer utilizing the PS algorithm. The APS superimposed on the differential interferograms were estimated with both the proposed and PS algorithms. High resolution APS were estimated with the HiRAPS algorithm, whereas only low resolution APS were obtained with the PS algorithm. After estimating and removing estimated APS, the phase stability of APS-free differential interferograms was examined by identifying the permanent scatterers (PS). The final density of identified PS obtained with the HiRAPS algorithm was 453 PS per square kilometer, whereas the density of detected PS using the generic PS algorithm was 381 PS per square kilometer. The maximum difference in the deformation time series between the HiRAPS algorithm and the PS algorithm was less than 6 mm. However, the HiRAPS algorithm resulted in less apparent noise in the time series than the PS algorithm due to the precise estimation of APS.
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9

« A comparative study on water vapor extracted from interferometric SAR images and synchronized data ». Thesis, 2011. http://library.cuhk.edu.hk/record=b6075375.

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Cheng, Shilai.
Thesis (Ph.D.)--Chinese University of Hong Kong, 2011.
Includes bibliographical references (leaves 138-150).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Abstract also in Chinese.
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10

Ηλίας, Παναγιώτης. « Ground deformation observed in the western Corinth rift (Greece) by means of SAR interferometry ». Thesis, 2013. http://hdl.handle.net/10889/7246.

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The rift of Corinth (Greece) has been long identified as a site of major importance in Europe due to its intense tectonic activity. It is one of the world’s most rapidly extending continental regions and it has one of the highest seismicity rates in the Euro-Mediterranean region. The GPS studies conducted since 1990 indicate a north–south extension rate across the rift of ~1.5 cm year-1 around its western termination. Geological evidences show that the south coast of the rift is uplifting whereas the north part is subsiding. The western termination of the rift in the Patras broader area, with many active faults lying very close and inside the city of Patras, presents major scientific and socio-economic importance. Recent seismicity has affected this end of the rift with the Movri (Achaia) earthquake in june 2008 and a seismic swarm around Efpalio (Fokida) in January 2010. Additionally the presence of a plurality of geophysical phenomena and morphological features renders this area and the Gulf of Corinth generally, as natural laboratory, a place of international initiatives as the Corinth Rift Laboratory and a case study for the EO Supersites initiative. Seismic and geodetic ground measurements from permanent networks (since 2000) and measuring campaigns (since 1990) have been (and are) performed. Moreover dense SAR data are available since 1992 and the ERS1 mission. Motivated by the lack of precise and extended mapping of the vertical deformation of the area and by the limitations of the GPS network (in terms of density of points) we investigate, model and interpret a large set of SAR interferometry data completed by the GPS data. The SAR interferometry data are very powerful for measuring vertical motions, for mapping localized deformations across faults or other features and for mapping and modeling the co-seismic deformation produced by earthquakes. We processed ascending and ascending acquisitions of ASAR/ENVISAT in the period between 2002-2010, to produce Persistent Scatterrers and Small Baseline Subsets deformation rates maps. These products have been combined together but also constrained with a number of GPS observations in order to extract the precise Up-Down and East-West deformation components field. The methodology chain performed globally well over the area (despite the vegetation cover and slopes) and provides accurate and robust results in many areas. We verified the agreement between GPS and the InSAR deformation field rates. We also compared them with remote sensing and ground observations of independent studies. We focused in specific case studies and presented the deformation rates along cross sections inside the city of Patras, around the Rion-Antirion bridge, around the urban areas of Psathopyrgos, Aigion, Sellianitika, Nafpaktos, Ακratas, the island of Trizonia, and the river deltas of Psathopyrgos, Sellianitika, Aigion, Mornos, Marathias and Akrata. Significant ground deformation is observed within the city of Patras itself, due not only to urban subsidence often seen elsewhere, but also to the motion of shallow structures likely to be induced by deep tectonic movements at the junction of the right lateral strike-slip fault linked to the Movri and penetrating inland between Rio and Patras (trans-tensional fault of Rio Patras), and the Psathopirgos normal fault at the entrance of the Corinth Rift. The Rio-Patras fault is a transition, oblique, structure, connecting the strike-slip zone to the south and the extentional area to the east. The Aigion fault appears very active with uplift rate of about 2mm/an, the highest rate across the Corinth Rift in the sample period, this uprising damping in the three kilometers separating this fault from the West Helike fault to the south. The observed discontinuities of the deformation field are not always correlated with seismic activity at the same place in the sampled period. The Temeni-Valimitika delta, east of Aigion, is the only delta of the area not subsiding (at least at its bigger part). We think that this is because it is located on the footwall of the Aigion fault with the delta compaction/subsidence balanced by the tectonic uplift. All the other deltas are subsiding due to the compaction of their sediments, and in the big ones it is possible to observe a linear increasing rate as approaching their coastal borders. The 2008 and 2010 seismic events occurred in the study area are modeled by inversion of their sources parameters using a model of dislocation in an homogenous elastic half-space constrained by the seismic, the GPS and the SAR interferometry data. At the broad scale, most of our studied tectonic features are pieces of a (diffuse) triple junction between micro-plates at the boundary between the rift of Corinth to the east and the termination of the Hellenic arc to the west. We briefly investigated and discuss the Trikonida and Aitoliko valley deformation field in the northwest of the triple junction area. Finally for the sake of completeness and in order to assess the capabilities of the space geodesy we presented some inferred discontinuities occurred by landslides and some by unclear origin and requiring further investigations.
Η ρηξιγενής ζώνη της Κορίνθου (Ελλάδα) έχει από καιρό αναγνωριστεί ως μια περιοχή μείζονος σημασίας στην Ευρώπη, λόγω της έντονης τεκτονικής της δραστηριότητας. Είναι μία από τις πιο ταχέως εφελκούμενες ηπειρωτικές περιοχές στον κόσμο και παρουσιάζει ένα από τους υψηλότερους ρυθμούς σεισμικότητας στον Ευρω-μεσογειακό χώρο. Μελέτες GPS που διεξάγονται από το 1990 εκτιμούν το ρυθμό εφελκυσμού περί τα 1.5 εκατοστά ανά έτος γύρω στο δυτικό πέρας του. Γεωλογικές μελέτες δείχνουν ότι η νότια ακτή του ανυψώνεται, ενώ η βόρεια υποχωρεί. Το δυτικό πέρας της ρηξιγενής ζώνης στην ευρύτερη περιοχή της Πάτρας, με πολλά ενεργά ρήγματα που βρίσκονται πολύ κοντά και μέσα στην πόλη, παρουσιάζει σημαντικές επιστημονικές και κοινωνικο-οικονομικές προεκτάσεις. H πρόσφατη σεισμικότητα έχει εκδηλωθεί σε αυτή τη περιοχή με τον σεισμό της Μόβρης (Αχαΐα) τον Ιούνιου του 2008 και της σεισμικής ακολουθίας κοντά στο Ευπάλιο (Φωκίδα) τον Ιανουάριο του 2010. Επιπλέον, η παρουσία ενός πλήθους γεωφυσικών φαινομένων και γεωμορφολογικών χαρακτηριστικών καθιστά την εν λόγω περιοχή, αλλά και τον Κορινθιακό Κόλπο εν γένει, ένα φυσικό εργαστήριο, μια περιοχή μελέτης για διεθνείς πρωτοβουλίες, όπως το Corinth Rift Laboratory και μια περιπτωσιολογική μελέτη της πρωτοβουλίας ‘EO Supersites’. Σεισμικές και γεωδαιτικές επιτόπιες παρατηρήσεις, από μόνιμα δίκτυα (από το 2000), και δειγματοληπτικές μετρήσεις (από το 1990), συνεχίζονται να διενεργούνται από το 2000 και 1990 αντίστοιχα. Επιπλέον πυκνές λήψεις δεδομένων SAR είναι διαθέσιμες από το 1992 από την αποστολή του ERS-1. Παρακινούμενοι από την έλλειψη μιας λεπτομερούς, ακριβούς και εκτεταμένης χαρτογράφησης της κάθετης παραμόρφωσης στην περιοχή ενδιαφέροντος και τους περιορισμούς του δικτύου GPS (από την άποψη της πυκνότητας της δειγματοληψίας), ερευνούμε, μοντελοποιούμε και ερμηνεύουμε ένα μεγάλο σύνολο δεδομένων διαφορικής συμβολομετρίας SAR και μετρήσεων GPS. Τα δεδομένα διαφορικής συμβολομετρίας μπορούν να αξιοποιηθούν για την ακριβή μέτρηση κατακόρυφων μετακινήσεων, για τη χαρτογράφηση τοπικών παραμορφώσεων εκατέρωθεν ρηγμάτων ή άλλων σχηματισμών και για τη χαρτογράφηση και μοντελοποίηση της ενδο-σεισμικής παραμόρφωσης. Επεξεργαστήκαμε δεδομένα ανοδικής και καθοδικής τροχιάς του δέκτη ASAR / ENVISAT της περιόδου μεταξύ 2002-2010, για την παραγωγή χαρτών ρυθμού παραμόρφωσης Σταθερών Σκεδαστών (Persistent Scatterrers) και υποσύνολα μικρών χωρικών γραμμών βάσης (Small Baseline Subsets – SBAS). Τα προϊόντα συνδυάστηκαν κατάλληλα, αλλά και διορθώθηκαν από μια σειρά από παρατηρήσεις GPS, προκειμένου να εξαχθεί το ακριβές πεδίο παραμόρφωσης κατά την κατακόρυφη και κατά την διεύθυνση Ανατολής-Δύσης συνιστώσα. Η ακολουθούμενη μεθοδολογία λειτούργησε καλά σε ευρεία κλίμακα στην περιοχή ενδιαφέροντος (παρά την κάλυψη της βλάστησης και το έντονο ανάγλυφο) και παρείχε ακριβείς και αξιόπιστες εκτιμήσεις σε πολλές επί μέρους περιοχές. Επαληθεύσαμε τη συμφωνία μεταξύ των πεδίων παραμόρφωσης των παρατηρήσεων GPS και συμβολομετρίας. Επίσης τα συγκρίναμε με δεδομένα τηλεπισκόπησης και επίγειες παρατηρήσεις από ανεξάρτητες μελέτες. Εστιάσαμε σε συγκεκριμένες περιπτωσιολογικές μελέτες και παρουσιάσαμε τους ρυθμούς παραμόρφωσης μαζί με διατομές μέσα στην πόλη της Πάτρας, γύρω από τη γέφυρα Ρίου-Αντιρρίου, γύρω από τις αστικές περιοχές του Ψαθόπυργου, Αίγιου, Σελλιανίτικων, Ναυπάκτου, Ακράτας, νήσου Τριζονίων, και τα ποτάμια δέλτα του Ψαθόπυργου, Σελλιανίτικων, Αιγίου, Μόρνου, Μαραθιά και Ακράτας. Σημαντική παραμόρφωση του εδάφους παρατηρείται μέσα στην πόλη της Πάτρας, οφειλόμενη όχι μόνο στην αστική καθίζηση (όπως συμβαίνει συχνά), αλλά και στην μετακίνηση των ρηχών δομών που ενδέχεται να προκαλούνται από βαθιές τεκτονικές μετακινήσεις στην επαφή του δεξιόστροφου ρήγματος πλευρικής ολίσθησης που συνδέεται με τον σεισμό της Μόβρης. Το τελευταίο διεισδύει στη ξηρά και συνδέεται μεταξύ Ρίου και Πάτρας (ρήγμα πλάγιας ολίσθησης) και στη συνέχεια με το κανονικό ρήγμα του Ψαθόπυργου στην είσοδο της ρηξιγενής ζώνης της Κορίνθου. Το ρήγμα Ρίου-Πάτρας αποτελεί μια ζώνη μετάβασης, συνδέοντας την ζώνη πλευρικής ολίσθησης στο Νότο με τις ρηξιγενείς δομές εφελκυσμού στην Ανατολή. Το ρήγμα του Αιγίου παρουσιάζει υψηλή ενεργητικότητα με ρυθμό ανύψωσης περί τα 2 χιλιοστά ανά έτος, ο υψηλότερος στην ρηξιγενή ζώνη της Κορίνθου κατά την περίοδο δειγματοληψίας, ο οποίος αποσβένει στα τρία χιλιόμετρα που χωρίζουν αυτό το ρήγμα με το Δυτικό τμήμα του ρήγματος της Ελίκης στο νότο. Οι παρατηρούμενες ασυνέχειες του πεδίου παραμόρφωσης δεν σχετίζονται πάντα με τη σεισμική δραστηριότητα κατά την περίοδο της μελέτης. Το δέλτα της Τέμενης-Βαλιμίτικων, ανατολικά του Αιγίου, είναι το μόνο δέλτα της περιοχής που δεν υποχωρεί (τουλάχιστον κατά τη μεγαλύτερη έκτασή του). Πιστεύουμε ότι αυτό οφείλεται στο ότι βρίσκεται στο πόδα του ρήγματος του Αιγίου με την συμπίεση/καθίζηση του δέλτα να εξισώνεται με την τεκτονική ανύψωση. Όλα τα άλλα δέλτα υποχωρούν λόγω της συμπίεσης των ιζημάτων τους, και στα μεγαλύτερα είναι δυνατόν να παρατηρηθεί ένας γραμμικώς αυξανόμενος ρυθμός παραμόρφωσης καθώς προσεγγίζουμε το προδέλτα του. Τα σεισμικά γεγονότα του 2008 και 2010 που έλαβαν χώρα στην περιοχή μελέτης μοντελοποιήθηκαν με αναστροφή των παραμέτρων της πηγής παραμόρφωσής τους, χρησιμοποιώντας ένα μοντέλο της μετατόπισης σε ένα ομογενές ελαστικό ημίχωρικό μέσο με χρήση σεισμικών, GPS και συμβολομετρικών δεδομένων. Σε ευρεία κλίμακα, οι περισσότερες υπό μελέτη τεκτονικές δομές αποτελούν τμήματα μιας (διάχυτης) τριπλής επαφής μεταξύ των μικρο-πλακών στο όριο ανάμεσα στη ρηξιγενή ζώνη της Κορίνθου στα Ανατολικά και στον τερματισμό του Ελληνικού τόξου προς τα δυτικά. Ερευνήσαμε συνοπτικά και συζητήσαμε το πεδίο παραμόρφωσης της λίμνης Τριχωνίδας και της κοιλάδας του Αιτολικού στα βορειοδυτικά της περιοχής της τριπλής επαφής. Τέλος, χάρη πληρότητας και για την αξιολόγηση των δυνατοτήτων της διαστημικής γεωδαισίας παρουσιάσαμε μερικές ασυνέχειες οι οποίες άλλες προκλήθηκαν από κατολισθήσεις και άλλες με ασαφή προέλευση οι οποίες χρήζουν περαιτέρω έρευνας.
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Livres sur le sujet "Remote Sensing, Landslides, SAR Interferometry"

1

Small, David. Generation of digital elevation models through spaceborne SAR interferometry. Zurich, Switzerland : Remote Sensing Laboratories, Dept. of Geography, University of Zurich, 1998.

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2

Jet Propulsion Laboratory (U.S.) et Rosenstiel School of Marine and Atmospheric Science., dir. SAR interferometry and surface change detection : Report of a workshop held in Boulder, Colorado, February 3-4, 1994. [Miami, Fla.] : RSMAS, 1995.

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"Fringe 96" Workshop (1996 Zurich, Switzerland). ERS SAR interferometry : "Fringe 96" Workshop : Zurich, Switzerland, 30 September-2 October 1996. Noordwijk, The Netherlands : European Space Agency, ESA Publications Division, 1997.

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Notarnicola, Claudia. SAR image analysis, modeling, and techniques X : 21-23 September 2010, Toulouse, France. Bellingham, Wash : SPIE, 2010.

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Francesco, Posa, Society of Photo-optical Instrumentation Engineers. et European Optical Society, dir. SAR image analysis, modeling, and techniques IV : 17-18 September, 2001, Toulouse, France. Bellingham, Wash : SPIE, 2002.

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Notarnicola, Claudia, Nazzareno Pierdicca et S. Paloscia. SAR image analysis, modeling, and techniques XI : 21-22 September 2011, Prague, Czech Republic. Sous la direction de SPIE (Society), European Optical Society et Remote Sensing and Photogrammetry Society. Bellingham, Wash : SPIE, 2011.

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Claudia, Notarnicola, Axelsson Sune R. J, Posa Francesco, SPIE Europe, United States. National Aeronautics and Space Administration., European Optical Society et Society of Photo-optical Instrumentation Engineers., dir. SAR image analysis, modeling, and techniques VIII : 13-14 September, 2006, Stockholm, Sweden. Bellingham, Wash : SPIE, 2006.

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Italy), POLinSAR (2003 Frascati. Proceedings of the workshop POLinSAR, Applications of SAR polarimetry and polarimetric interferometry : 14-16 January 2003, Frascati, Italy. Sous la direction de Sawaya-Lacoste Huguette et European Space Agency. Noordwijk, The Netherlands : ESA Publications, 2003.

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Francesco, Posa, Guerriero Luciano, Society of Photo-optical Instrumentation Engineers., European Optical Society et United States. National Aeronautics and Space Administration., dir. SAR image analysis, modeling, and techniques III : 25-27 September 2000, Barcelona, Spain. Bellingham, Wash : SPIE, 2000.

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Fringe 96 workshop, ERS SAR interferometry. Noordwijk, Netherlands : ESA Publications Division, ESTEC, 1997.

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Chapitres de livres sur le sujet "Remote Sensing, Landslides, SAR Interferometry"

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Gupta, Ravi Prakash. « SAR Interferometry ». Dans Remote Sensing Geology, 367–92. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05283-9_14.

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Gupta, Ravi P. « SAR Interferometry ». Dans Remote Sensing Geology, 253–65. Berlin, Heidelberg : Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-55876-8_17.

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Meghanadh, Devara, et Ramji Dwivedi. « Multi-Temporal SAR Interferometry ». Dans Spaceborne Synthetic Aperture Radar Remote Sensing, 287–311. Boca Raton : CRC Press, 2023. http://dx.doi.org/10.1201/9781003204466-13.

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El Kenouss, Dahbia, Abdelhamid Rossi, Omar El Kharki et Balkecem Bouhamdi. « Assessment of the Risk of Landslides and Rockslides in Northern Morocco by Radar Interferometry Differential ». Dans Research Developments in Geotechnics, Geo-Informatics and Remote Sensing, 307–10. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-72896-0_69.

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Alexander Correa-Muñoz, Nixon, et Carol Andrea Murillo-Feo. « The Potential of Remote Sensing to Assess Conditioning Factors for Landslide Detection at a Regional Scale : The Case in Southeastern Colombia ». Dans Slope Engineering [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94251.

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This landslide detection research applied remote sensing techniques. Morphometry to derive both DEM terrain parameters and land use variables. SAR interferometry (InSAR) for showing that InSAR coherence and InSAR displacement obtained with SRTM DEM 30 m resolution were strongly related to landslides. InSAR coherence values from 0.43 to 0.66 had a high association with landslides. PS-InSAR allowed to estimate terrain velocities in the satellite line-of-sight (LOS) in the range − 10 to 10 mm/year concerning extremely slow landslide displacement rates. SAR polarimetry (PolSAR) was used over L-band UAVSAR quad-pol data, obtaining the scattering mechanism of volume and surface retrodispersion more associated with landslides. The optical remote sensing with a multitemporal approach for change detection by multi-year Landsat (5, 7 and 8)-NDVI, showed that NDVI related to landslides had values between 0.42 and 0.72. All the information was combined into a multidimensional grid product and crossed with training data containing a Colombian Geologic Service (CGS) landslide inventory. A detection model was implemented using the Random Forest supervised method relating the training sample of landslides with multidimensional explanatory variables. A test sample with a proportion of 70:30 allowed to find the accuracy of detection of about 70.8% for slides type.
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Ferro-Famil, Laurent, et Eric Pottier. « SAR Imaging using Coherent Modes of Diversity : SAR Polarimetry, Interferometry and Tomography ». Dans Microwave Remote Sensing of Land Surface, 67–147. Elsevier, 2016. http://dx.doi.org/10.1016/b978-1-78548-159-8.50002-5.

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Tebaldini, Stefano, et Andrea Monti. « Methods and Performances for Multi-Pass SAR Interferometry ». Dans Geoscience and Remote Sensing New Achievements. InTech, 2010. http://dx.doi.org/10.5772/9112.

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Luzi, Guido. « Ground Based SAR Interferometry : a Novel Tool for Geoscience ». Dans Geoscience and Remote Sensing New Achievements. InTech, 2010. http://dx.doi.org/10.5772/9090.

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Bouaraba, Azzedine, Nada Milisavljević, Marc Acheroy et Damien Closson. « Change Detection and Classification Using High Resolution SAR Interferometry ». Dans Land Applications of Radar Remote Sensing. InTech, 2014. http://dx.doi.org/10.5772/57246.

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Actes de conférences sur le sujet "Remote Sensing, Landslides, SAR Interferometry"

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Lei, Ling, Yinqing Zhou, Jingwen Li et Roland Burgmann. « Persistent scatterer SAR interferometry application on berkeley hills landslides ». Dans IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6050178.

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Takahashi, Kazunori, Daniele Mecatti, Devis Dei, Masayoshi Matsumoto et Motoyuki Sato. « Landslide observation by ground-based SAR interferometry ». Dans IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6352580.

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Xia, Y. « CR-Based SAR-Interferometry for Landslide Monitoring ». Dans IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4779226.

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Raucoules, Daniel, Fabrizio Tomaro, Michael Foumelis, Caterina Negulescu, Marcello de Michele et Bertrand Aunay. « Landslide Observation from ALOS-2/PALSAR-2 Data (Image Correlation Techniques and Sar Interferometry). Application to Salazie Circle Landslides (La Reunion Island) ». Dans IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8517998.

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Casagli, Nicola, Paolo Farina, Davide Leva, Giovanni Nico et Dario Tarchi. « Landslide monitoring on a short and long time scale by using ground-based SAR interferometry ». Dans International Symposium on Remote Sensing, sous la direction de Manfred Ehlers. SPIE, 2003. http://dx.doi.org/10.1117/12.463485.

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Kursah, Matthew Biniyam, et Yong Wang. « Small Baseline Subset Interferometric Sar Technique for Spatiotemporal Analysis of the Regent Landslides, Sierra Leone ». Dans IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8899096.

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Ruiz-Armenteros, Antonio Miguel, José Manuel Delgado-Blasco, Matus Bakon, Milan Lazecky, Miguel Marchamalo-Sacristán, Francisco Lamas-Fernández, Ana Ruiz-Constán et al. « MONITORING CRITICAL INFRASTRUCTURE EXPOSED TO ANTHROPOGENIC AND NATURAL HAZARDS USING SATELLITE RADAR INTERFEROMETRY ». Dans 3rd Congress in Geomatics Engineering. Valencia : Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/cigeo2021.2021.12736.

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Synthetic Aperture Radar Interferometry (InSAR) is a remote sensing technique very effective for the measure of smalldisplacements of the Earth’s surface over large areas at a very low cost as compared with conventional geodetictechniques. Advanced InSAR time series algorithms for monitoring and investigating surface displacement on Earth arebased on conventional radar interferometry. These techniques allow us to measure deformation with uncertainties of 1mm/year, interpreting time series of interferometric phases at coherent point scatterers (PS) without the need for humanor special equipment presence on the site. By applying InSAR processing techniques to a series of radar images over thesame region, it is possible to detect line-of-sight (LOS) displacements of infrastructures on the ground and therefore identifyabnormal or excessive movement indicating potential problems requiring detailed ground investigation. A major advantageof this technology is that a single radar image can cover a major area of up to 100 km by 100 km or more as, for example,Sentinel-1 C-band satellites data cover a 250 km wide swath. Therefore, all engineering infrastructures in the area, suchas dams, dikes, bridges, ports, etc. subject to terrain deformation by volcanos, landslides, subsidence due to groundwater,gas, or oil withdrawal could be monitored, reducing operating costs effectively. In this sense, the free and open accessCopernicus Sentinel-1 data with currently up to 6-days revisit time open new opportunities for a near real-time landmonitoring. In addition, the new generation of high-resolution radar imagery acquired by SAR sensors such as TerraSARX,COSMO-SkyMed, and PAZ, and the development of multi-interferogram techniques has enhanced our capabilities inrecent years in using InSAR as deformation monitoring tool. In this paper, we address the applicability of using spaceborneSAR sensors for monitoring infrastructures in geomatics engineering and present several cases studies carried out by ourgroup related to anthropogenic and natural hazards, as well as monitoring of critical infrastructures.
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Ferretti, Alessandro, Claudio Prati et Fabio L. Rocca. « Permanent scatterers in SAR interferometry ». Dans Remote Sensing, sous la direction de Francesco Posa. SPIE, 1999. http://dx.doi.org/10.1117/12.373150.

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Nico, Giovanni. « Geolocation algorithms for SAR interferometry ». Dans Europto Remote Sensing, sous la direction de Francesco Posa et Luciano Guerriero. SPIE, 2000. http://dx.doi.org/10.1117/12.410660.

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Mallorqui, Jordi J., Marc Bara et Antoni Broquetas. « Calibration requirements for airborne SAR interferometry ». Dans Europto Remote Sensing, sous la direction de Francesco Posa et Luciano Guerriero. SPIE, 2000. http://dx.doi.org/10.1117/12.410657.

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