Bibliografías temáticas / RADAR INTERFEROMETRY. REMOTE SENSING. DYNAMIC MONITORING

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Literatura académica sobre el tema "RADAR INTERFEROMETRY. REMOTE SENSING. DYNAMIC MONITORING"

Autor: Grafiati

Publicado: 10 de marzo de 2023

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Artículos de revistas sobre el tema "RADAR INTERFEROMETRY. REMOTE SENSING. DYNAMIC MONITORING"

Castagnetti, Cristina, Elisa Bassoli, Loris Vincenzi y Francesco Mancini. "Dynamic Assessment of Masonry Towers Based on Terrestrial Radar Interferometer and Accelerometers". Sensors 19, n.º 6 (16 de marzo de 2019): 1319. http://dx.doi.org/10.3390/s19061319.

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This paper discusses the performance of a terrestrial radar interferometer for the structural monitoring of ancient masonry towers. High-speed radar interferometry is an innovative and powerful remote sensing technique for the dynamic monitoring of large structures since it is contactless, non-destructive, and able to measure fast displacements on the order of tenths of millimeters. This methodology was tested on a masonry tower of great historical interest, the Saint Prospero bell tower (Northern Italy). To evaluate the quality of the results, data collected from the interferometer were compared and validated with those provided by two types of accelerometer-based measuring systems directly installed on the tower. Dynamic tests were conducted in operational conditions as well as during a bell concert. The first aimed at characterizing the dynamic behavior of the tower, while the second allowed to evaluate the bell swinging effects. Results showed a good agreement among the different measuring systems and demonstrated the potential of the radar interferometry for the dynamic monitoring of structures, with special focus on the need for an accurate design of the geometric aspects of the surveys.

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Gao, Jay y Yansui Liu. "Applications of remote sensing, GIS and GPS in glaciology: a review". Progress in Physical Geography: Earth and Environment 25, n.º 4 (diciembre de 2001): 520–40. http://dx.doi.org/10.1177/030913330102500404.

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Remote sensing has served as an efficient method of gathering data about glaciers since its emergence. The recent advent of Geographic Information Systems (GIS) and Global Positioning Systems (GPS) has created an effective means by which the acquired data are analysed for the effective monitoring and mapping of temporal dynamics of glaciers. A large number of researchers have taken advantage of remote sensing, GIS and GPS in their studies of glaciers. These applications are comprehensively reviewed in this paper. This review shows that glacial features identifiable from aerial photographs and satellite imagery include spatial extent, transient snowline, equilibrium line elevation, accumulation and ablation zones, and differentiation of ice/snow. Digital image processing (e.g., image enhancement, spectral ratioing and automatic classification) improves the ease and accuracy of mapping these parameters. The traditional visible light/infrared remote sensing of two-dimensional glacier distribution has been extended to three-dimensional volume estimation and dynamic monitoring using radar imagery and GPS. Longitudinal variations in glacial extent have been detected from multi-temporal images in GIS. However, the detected variations have neither been explored nor modelled from environmental and topographic variables. GPS has been utilized independent of remote sensing and GIS to determine glacier ice velocity and to obtain information about glacier surfaces. Therefore, the potential afforded by the integration of nonconventional remote sensing (e.g., SAR interferometry) with GIS and GPS still remains to be realized in glaciology. The emergence of new satellite images will make remote sensing of glaciology more predictive, more global and towards longer terms.

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Ponzo, Felice Carlo, Chiara Iacovino, Rocco Ditommaso, Manuela Bonano, Riccardo Lanari, Francesco Soldovieri, Vincenzo Cuomo, Francesca Bozzano, Paolo Ciampi y Matteo Rompato. "Transport Infrastructure SHM Using Integrated SAR Data and On-Site Vibrational Acquisitions: “Ponte Della Musica–Armando Trovajoli” Case Study". Applied Sciences 11, n.º 14 (15 de julio de 2021): 6504. http://dx.doi.org/10.3390/app11146504.

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This work presents the first results obtained by applying in situ and remote-sensing methodologies to monitor the Ponte della Musica-Armando Trovajoli located in Rome, within the activities of the WP6 “Structural Health Monitoring and Satellite Data” 2019-21 Reluis Project. In particular, the use of remote-sensing Differential Synthetic Aperture Radar (SAR) Interferometry (DInSAR) measurements provided a spatial map of the displacement of the investigated infrastructure and the corresponding time-series, with the aim of monitoring deformation phenomena, focusing on the local scale analysis, which produces suitable results for urban monitoring and damage assessment. The DInSAR results have been integrated with the identification of the dynamic characteristics of the bridge, performed through an experimental campaign of ambient vibration measurements carried out in October 2020 and with the local-scale definition of the engineering geological setting of the foundation soil. The subsoil of the bridge is constituted by more than 50 m of recent alluvial deposits resting on Pliocene stiff clay acting as a geological bedrock. A substantially stable behavior of the bridge structural elements has been observed based on the analysis of both satellite and velocimetric data. This case represents a good example about how the integration of in situ sensors with remotely sensed data and the exploitation of a detailed knowledge regarding the on-site conditions represent a key factor for a sustainable structural and infrastructural monitoring and can support the planning both of maintenance and safety management.

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Karamvasis, K. y V. Karathanassi. "DEFORMATION EFFECTS OF DAMS ON COASTAL REGIONS USING SENTINEL-1 IW TOPS TIME SERIES: THE WEST LESVOS, GREECE CASE". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W2 (16 de noviembre de 2017): 91–96. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w2-91-2017.

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Coastal zones are vulnerable to erosion and loss by level sea rise. Subsidence caused by the reduction of fluvial sediments in coastal zones found close to dams, is another important deformation factor. Quantification of the deformation rate of coastal region is essential for natural and anthropogenic activities. The study utilizes Interferometric SAR (Synthetic Aperture Radar) techniques and exploits the archive of Sentinel-1 TOPS data for the period 2014&ndash;2016. The freely available, wide ground coverage (250&thinsp;&times;&thinsp;170&thinsp;km) and small temporal resolution Sentinel-1 TOPS datasets are promising for coastal applications. Persistent Scatterer Interferometry (PSI) methodologies are considered state-of-the-art remote sensing approaches for land deformation monitoring. The selected PSI method is the Small Baseline Subset (SBAS) multitemporal InSAR technique. The study area of this study is the coastal zone of west region of Lesvos Island, Greece. The main characteristic of the area is the reduction of the fluvial sediment supply from the coastal drainage basins due to construction of dams and the abstraction of riverine sediments. The study demonstrates the potentials of the SBAS method for measuring and mapping the dynamic changes in coastal topography in terms of subsidence rates and discusses its advantages and limitations. The results show that natural and rural environments appear to have diverse ground deformation patterns.

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Martínez Marín, Rubén, Eleanor Sillerico, Pablo Ezquerro, Miguel Marchamalo, Gerardo Herrera y Javier Duro. "Monitoring ground subsidence in urban environments: M-30 tunnels under Madrid City (Spain)". Ingeniería e Investigación 35, n.º 2 (5 de agosto de 2015): 30–35. http://dx.doi.org/10.15446/ing.investig.v35n2.46614.

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Big cities improvement usually requires the construction of large underground infrastructures, in order to ensure proper communication and optimize urban use. Monitoring ground subsidences is therefore one of the main challenges in changing urban environments. The "Madrid Río" project (2003-2008) is an effort to reclaim the riverfront land and improve the busy M-30 beltway that involved the construction of 7.93 km of tunnels underneath the southern center of Madrid City. This paper presents a remote-sensing approach to monitor ground subsidences induced by tunneling excavation. The Persistent Scatterers Interferometry technique (PSI) was used to estimate subsidence and displacement time series from Synthetic Aperture Radar images, acquired between August 2003 and April 2008 from ENVISAT. Remote sensed results were compared to traditional extensometric measures, fitting adequately for selected sectors. Spatial analysis of displacements allowed evaluating impacts of tunneling on surrounding buildings and facilities, highlighting critical areas. The availability of a spatial distribution of displacements in a time series allowed analyzing longitudinal, cross-sectional and temporal dynamics. The main limitations during this work were the heterogeneous spatial distribution of Persistent Scatterers, the absence of measurement points in work areas, the threshold for velocity detection and low temporal resolution of ENVISAT images. Nevertheless, these limitations of DInSAR for monitoring infrastructures are overcome by actual satellites, being a complementary technique with an exceptional added value and temporal analysis capability.

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Tampuu, Tauri, Jaan Praks, Rivo Uiboupin y Ain Kull. "Long Term Interferometric Temporal Coherence and DInSAR Phase in Northern Peatlands". Remote Sensing 12, n.º 10 (14 de mayo de 2020): 1566. http://dx.doi.org/10.3390/rs12101566.

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Peatlands of northern temperate and cold climates are significant pools of stored carbon. Understanding seasonal dynamics of peatland surface height and volume, often referred to as mire breathing or oscillation, is the key to improve spatial models of material flow and gas exchange. The monitoring of this type of dynamics over large areas is only feasible by remote sensing instruments. The objective of this study is to examine the applicability of Sentinel-1 synthetic aperture radar interferometry (InSAR) to characterize seasonal dynamics of peatland surface height and water table (WT) over open raised bog areas in Endla mire complex in central Estonia, characteristic for northern temperate bogs. Our results show that InSAR temporal coherence, sufficient for differential InSAR (DInSAR), is preserved in the open bog over more than six months of temporal baseline. Moreover, the coherence which is lost in a dry summer, make a recovery in autumn correlate with WT dynamics. The relationship between the coherence from a single master image and the corresponding WT difference is described by the second degree polynomial regression model (Root Mean Squared Error RMSE = 0.041 for coherence magnitude). It is also demonstrated that DInSAR phase is connected to bog surface dynamics and reveals differences between bogs and for ecotopes within a bog. These findings suggest that InSAR long term temporal coherence could be used to describe seasonal bog WT dynamics and differentiate between mire types and ecotopes within a bog. Moreover, DInSAR analysis has the potential to characterize seasonal mire surface oscillation which may be important for assessing the capacity of water storage or restoration success in northern temperate bogs.

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Gentile, Carmelo y Antonella Saisi. "Dynamic Testing of Masonry Towers Using the Microwave Interferometry". Key Engineering Materials 628 (agosto de 2014): 198–203. http://dx.doi.org/10.4028/www.scientific.net/kem.628.198.

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Microwave remote sensing is the most recent experimental methodology suitable to the non-contact measurement of deflections on large structures, in static or dynamic conditions. After a brief description of the radar measurement system, the paper addresses the application of microwave remote sensing in ambient vibration testing of two historic masonry towers.

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Madumarova G.,, Suleimenova D.,, Pentayev T., Baydauletova G., Miletenco N. y Tumazhanova S. "MONITORING OF DISPLACEMENTS OF OBJECTS OF TERRESTRIAL SURFACES BY INTERFEROMETRY METHOD". NEWS of National Academy of Sciences of the Republic of Kazakhstan 5, n.º 443 (15 de octubre de 2020): 106–15. http://dx.doi.org/10.32014/2020.2518-170x.110.

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Geomechanical monitoring is a system of observations of the state of the geological environment, the processes of displacement of rocks and the earth's surface, geomechanical and hydrodynamic processes in a rock mass, interpretation of the results of observations, the formation of judgments about the state of the rock mass as a whole and the forecast of parameters of stable slopes. To determine the displacement of the earth's crust of the Akbakay field, the technology of terrestrial radar interferometry was used. Which is used by only a few research institutes and organizations in the world. In satellite radar interferometry, the promptness to obtain an actual spatial information about the Earth's surface is an important requirement for modern Earth remote sensing data, along with high spatial resolution, as well as geometric accuracy. The operational efficiency is one of the main advantages of radar systems for remote sensing of the Earth or a system of instruments synthesized by radar. Geomechanical monitoring and research on geodynamic polygons reveal wide opportunities for studying vertical movements of the earth's crust. In this work, the most important point is the scanning of the terrain and objects around the scanner standing point, i.e. Scanning special marks with the maximum resolution, which allows you to get a cloud of points.

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Dedkova, Valeriya V. y Alexander V. Komissarov. "ANALYSIS OF METHODS AND MEANS OF CONTROL OF MAIN PIPELINES’ PROTECTIVE STRUCTURES". Vestnik SSUGT (Siberian State University of Geosystems and Technologies) 25, n.º 4 (2020): 77–84. http://dx.doi.org/10.33764/2411-1759-2020-25-4-77-84.

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The purpose of research is to justify methods and means of remote sensing for monitoring of technical state of various types of main pipelines’ protective structures. An analysis of accidents at main pipelines based on the data of the Federal Service for Ecological, Technological and Nuclear Supervision, as well as the Ministry of Energy of the Russian Federation is given. The analysis revealed that all protective structures are divided into 2 types - engineering and earth structures. The essence of main methods of active remote sensing is described: radar imaging, radar interferometry, aerial, mobile and ground laser scanning. Accuracy characteristics are given. Justification of monitoring methods application for various types of engineering structures is performed.

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Hu, Zhengquan, Yu Liu, Xiaowei Niu y Guoping Lei. "Deformation information extraction method based on differential synthetic aperture radar interferometry". Journal of Intelligent & Fuzzy Systems 39, n.º 4 (21 de octubre de 2020): 5311–18. http://dx.doi.org/10.3233/jifs-189016.

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As aerospace technology, computer technology, network communication technology and information technology become more and more perfect, a variety of sensors for measurement and remote sensing are constantly emerging, and the ability to acquire remote sensing data is also continuously enhanced. Synthetic Aperture Radar Interferometry (InSAR) technology greatly expands the function and application field of imaging radar. Differential InSAR (DInSAR) developed based on InSAR technology has the advantages of high precision and all-weather compared with traditional measurement methods. However, DInSAR-based deformation monitoring is susceptible to spatiotemporal coherence, orbital errors, atmospheric delays, and elevation errors. Since phase noise is the main error of InSAR, to determine the appropriate filtering parameters, an iterative adaptive filtering method for interferogram is proposed. For the limitation of conventional DInSAR, to improve the accuracy of deformation monitoring as much as possible, this paper proposes a deformation modeling based on ridge estimation and regularization as a constraint condition, and introduces a variance component estimation to optimize the deformation results. The simulation experiment of the iterative adaptive filtering method and the deformation modeling proposed in this paper shows that the deformation information extraction method based on differential synthetic aperture radar has high precision and feasibility.

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Tesis sobre el tema "RADAR INTERFEROMETRY. REMOTE SENSING. DYNAMIC MONITORING"

Chang, Hsing-Chung Surveying &amp Spatial Information Systems Faculty of Engineering UNSW. "Differential interferometric synthetic aperture radar for land deformation monitoring". Publisher:University of New South Wales. Surveying & Spatial Information Systems, 2008. http://handle.unsw.edu.au/1959.4/42602.

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Australia is one of the leading mineral resource extraction nations in the world. It is one of the worlds top producers of nickel, zinc, uranium, lithium, coal, gold, iron ore and silver. However, the complexity of the environmental issues and the potentially damaging consequences of mining have attracted public attention and political controversy. Other types of underground natural resource exploitation, such as ground water, gas or oil extractions, also cause severe land deformation on different scales in space and time. The subsidence due to underground mining and underground fluid extractions has the potential to impact on surface and near surface infrastructure; as well as water quality and quantity, that in turn has the potential to impact on threatened flora and fauna, and biodiversity conservation. Subsidence can also impact natural and cultural heritage. To date, most of land deformation monitoring is done using conventional surveying techniques, such as total stations, levelling, GPS, etc. These surveying techniques provide high precision in height at millimetre accuracy, but with the drawbacks of inefficiency and costliness (labour intensive and time consuming) when surveying over a large area. Radar interferometry is an imaging technique for measuring geodetic information of terrain. It exploits phase information of the backscattered radar signals from the ground surface to retrieve the altitude or displacements of the objects. It has been successfully applied in the areas of cartography, geodesy, land cover characterisation, mitigation of natural or man-made hazards, etc. The goal of this dissertation was to develop a system which integrated differential interferometric synthetic aperture radar (DInSAR), ground survey data and geographic information systems (GIS) as a whole to provide the land deformation maps for underground mining and water extraction activities. This system aimed to reinforce subsidence assessment processes and avoid or mitigate potential risks to lives, infrastructure and the natural environment. The selection of suitable interferometric pairs is limited to the spatial and temporal separations of the acquired SAR images as well as the characteristics of the site, e.g. slope of terrain, land cover, climate, etc. Interferometric pairs with good coherence were selected for further DInSAR analysis. The coherence analysis of both C- and L-band spaceborne SAR data was studied for sites in the State of New South Wales, Australia. The impact of the quality of the digital elevation models (DEM), used to remove the static topography in 2-pass DInSAR, were also analysed. This dissertation examined the quality of the DEM generated using aerial photogrammetry, InSAR, and airborne laser scanning (ALS) against field survey data. Kinematic and real-time kinematic GPS were introduced here as an efficient surveying method for collecting ground truth data for DEM validation. For mine subsidence monitoring, continuous DInSAR mine subsidence maps were generated using ERS-1/2, Radarsat-1 and JERS-1 data with the assumption of negligible horizontal displacement. One of the significant findings of this study was the results from the ERS-1/2 tandem DInSAR, which showed an immediate mine subsidence of 1cm occurred during a period of 24 hours. It also raised the importance of SAR constellations for disaster mitigation. In order to understand the 3-D displacement vectors of mine deformation, this dissertation also proposed a method using the SAR data acquired at 3 independent incidence angles from both ascending and descending orbits. Another issue of the high phase gradient, induced by the mine subsidence, was also addressed. Phase gradient was clearly overcome by having the L-band ALOS data with an imaging resolution of 10m, which is better than the imaging resolution of 18m of the previous generation of the Japanese L-band SAR satellite, JERS-1. The ground survey data over a similar duration was used for validation. Besides mine subsidence monitoring the land deformation caused by groundwater pumping were also presented. In contrast to mine subsidence, the underground water extraction induced subsidence has the characteristics of a slow rate of change and less predictable location and coverage. Two case studies were presented. One was at the geothermal fields in New Zealand and another was the urban subsidence due to underground water over exploitation in China. Both studies were validated against ground survey data. Finally, SAR intensity analysis for detecting land deformation was demonstrated when DInSAR was not applicable due to strong decorrelation. The region of land surface change, which may be caused by human activities or natural disasters, can be classified. Two cases studies were given. The first study was the surface change detection at an open-cut mine. The second one was the 2004 Asian tsunami damage assessment near Banda Aceh. The results presented in this dissertation showed that the integrated system of DInSAR, GIS and ground surveys has the potential to monitor mine subsidence over a large area. The accuracy of the derived subsidence maps can be further improved by having a shorter revisit cycle and better imaging resolution of the newly launched and planned SAR satellites and constellation missions. The subsidence caused by groundwater pumping can be monitored at an accuracy of millimetre by utilising the technique of persistent scatterer InSAR.

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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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Guittard, Alice. "Identifying active water flow paths in a tropical wetland with radar remote sensing data (wetland interferometry) : The case of the Cienaga Grande de Santa Marta, Colombia". Thesis, Stockholms universitet, Institutionen för naturgeografi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-135633.

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Despite being one of the most productive ecosystems on earth, wetland areas have been heavily affected by human activities. The Cienaga Grande de Santa Marta (CGSM) in Colombia is one of these wetlands, where the inadequate construction of roads modified the hydrology and connectivity of this water body, generating massive mangrove mortality episodes. The lack of knowledge on the hydrological processes and connectivity of the CGSM has impaired mangrove restoration plans. Here we use wetland interferometry technique to remotely monitor the wetland and understand the flow of water in/out and across the CGSM wetland complex. A close collaboration with Miami University allowed us to access CGSM’s interferograms created with ALOS Palsar satellite data (from 2007 until 2011). The interferograms resulting from the analysis were correlated with daily hydrological data (precipitation, runoff in the main inflow of freshwater to the wetland, tide charts) to finally identify two main paths of inflow of water that are still active and are continuously feeding freshwater into the Cienaga. The most persistent was identified in the south-west part of the CGSM; a water flow coming directly from the Magdalena River and entering the main lagoon in its south-west corner. The second was located in the north-west area, where most of the mangroves have died. In this case, different interferograms showed different potential water flow paths depending on the season (dry / wet season), the Magdalena River’s discharge and the rainfall. These results reflect the complex hydrology of the CGSM . Furthermore, a coherence analysis was conducted to assess the quality of the remote sensing data and to better understand the different responses of the features within the Cienaga. The results showed that the coherence analysis could also be potentially used to identify areas of dead mangrove. This study confirms that despite the blockage of the connectivity of the wetlands, there are still important freshwater flow paths feeding the CGSM. Additional hydrological studies are needed to ensure the further understanding of the hydrology of the CGSM and confirm the results of this study.

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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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BIANCHINI, SILVIA. "Satellite interferometric applications for mapping and monitoring hydro-geological instability phenomena". Doctoral thesis, 2014. http://hdl.handle.net/2158/854317.

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This PhD research aims at exploiting PSI techniques for ground displacement detection and mapping at regional and local scale, and for quantitatively and qualitatively analysis of slow-moving landslide phenomena. The work is mainly based on the combined use of ground motion rates provided by PS radar data with conventional geomorphologic tools such as optical data, geo-thematic and in situ information, and further ground-truth data. -------------------------------------------------------------- Questa tesi di Dottorato mira a sfruttare le tecniche PSI per l’identificazione e la mappatura di spostamenti del terreno a scala regionale e locale, e per l'analisi quantitativa e qualitativa dei fenomeni franosi lenti. Il lavoro si basa sull'uso combinato dei valori di velocità fornite da dati radar PS con strumenti geomorfologici convenzionali quali dati ottici, informazioni geo-tematiche e in situ, dati relativi a verità a terra.

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Libros sobre el tema "RADAR INTERFEROMETRY. REMOTE SENSING. DYNAMIC MONITORING"

Arnold, Dekker, Meer Freek D, Abrams Michael, Curran Paul, Schaepman Michael, Gomarasca Mario A, Hallikainen Martti et al., eds. Satellite Radar Interferometry: Subsidence Monitoring Techniques. Dordrecht: Springer Netherlands, 2009.

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Capítulos de libros sobre el tema "RADAR INTERFEROMETRY. REMOTE SENSING. DYNAMIC MONITORING"

Farr, Tom G. y Zhen Liu. "Monitoring Subsidence Associated with Groundwater Dynamics in the Central Valley of California Using Interferometric Radar". En Remote Sensing of the Terrestrial Water Cycle, 397–406. Hoboken, NJ: John Wiley & Sons, Inc, 2014. http://dx.doi.org/10.1002/9781118872086.ch24.

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C. Fu, Chung, Yifan Zhu y Kuang-Yuan Hou. "Utilization of Dynamic and Static Sensors for Monitoring Infrastructures". En Advanced Remote Sensing Technology for Synthetic Aperture Radar Applications, Tsunami Disasters, and Infrastructure. IntechOpen, 2019. http://dx.doi.org/10.5772/intechopen.83500.

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Actas de conferencias sobre el tema "RADAR INTERFEROMETRY. REMOTE SENSING. DYNAMIC MONITORING"

Zhang, Bochen, Xiaoli Ding, Mi Jiang, Bin Zhang, Songbo Wu y Hongyu Liang. "Ground-based interferometric radar for dynamic deformation monitoring of the Ting Kau Bridge in Hong Kong". En IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7730794.

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Crosetto, M. y L. Solari. "Deformation Monitoring Using Satellite Radar Interferometry". En 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS). IEEE, 2020. http://dx.doi.org/10.1109/lagirs48042.2020.9165659.

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Hsing-Chung Chang, Linlin Ge, Hua Wang, Chris Rizos y Tony Milne. "Radar interferometry for 3-D mining deformation monitoring". En 2007 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/igarss.2007.4423245.

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Noferini, L., M. Pieraccini, G. Luzi, D. Mecatti, G. Macaluso y C. Atzeni. "Ground-based Radar Interferometry for Monitoring Unstable Slopes". En 2006 IEEE International Symposium on Geoscience and Remote Sensing. IEEE, 2006. http://dx.doi.org/10.1109/igarss.2006.1048.

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Ruiz-Armenteros, Antonio M., J. Manuel Delgado, Matus Bakon, Joaquim J. Sousa, Francisco Lamas-Fernandez, Miguel Marchamalo-Sacristan, Vanesa Sanchez-Ballesteros et al. "ReMoDams: Monitoring Dams from Space Using Satellite Radar Interferometry". En IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021. http://dx.doi.org/10.1109/igarss47720.2021.9553375.

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Sansosti, E., R. Lanari y P. Lundgren. "Dynamic deformation of Etna volcano observed by satellite radar interferometry". En IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174). IEEE, 1998. http://dx.doi.org/10.1109/igarss.1998.691427.

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Chang, Ling y Ramon F. Hanssen. "Near real-time, semi-recursive, deformation monitoring of infrastructure using satellite radar interferometry". En IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6351141.

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Ramirez, Ryan, Woojae Jang, Tae-Hyuk Kwon y Young-Chul Kim. "Ground Deformation Monitoring and Prediction: Gompertz's Modeling Based on Sentinel-1 Advanced Radar Interferometry". En IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2022. http://dx.doi.org/10.1109/igarss46834.2022.9884060.

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Bovenga, Fabio, Alberto Refice y Guido Pasquariello. "Using corner reflectors and X-band SAR interferometry for slope instability monitoring". En 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS 2012). IEEE, 2012. http://dx.doi.org/10.1109/tywrrs.2012.6381114.

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Agioutantis, Zach, Joe Robertson, Greg Gollaher, Nathaniel Schaefer, Jhon Silva, Achilleas Tripolitsiotis y Panagiotis Partsinevelos. "Permanent scatterer radar interferometry as an effective structure deformation monitoring tool over undermined areas". En Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019), editado por Giorgos Papadavid, Kyriacos Themistocleous, Silas Michaelides, Vincent Ambrosia y Diofantos G. Hadjimitsis. SPIE, 2019. http://dx.doi.org/10.1117/12.2533713.

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