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Journal articles on the topic 'Advanced DInSAR'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Yang, C. H., and A. Müterthies. "MONITORING OF TIME-SERIES SOIL MOISTURE BASED ON ADVANCED DINSAR." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2021 (June 17, 2021): 51–55. http://dx.doi.org/10.5194/isprs-annals-v-3-2021-51-2021.

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Abstract. Understanding soil moisture is essential for earth and environmental sciences especially in geology, hydrology, and meteorology. Remote sensing techniques are widely applied to large-scale monitoring tasks. Among them, DInSAR using multi-temporal spaceborne SAR images is able to derive surface movement up to mm level over an area. One of the factors inducing the movement is variation of soil moisture. Based on this, a semi-empirical approach can be tailored to retrieve the underground water content. However, the derived movement is often contaminated with other irrelevant noise. Besi

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Buonanno, Sabatino, Giovanni Zeni, Adele Fusco, et al. "A GeoNode-Based Platform for an Effective Exploitation of Advanced DInSAR Measurements." Remote Sensing 11, no. 18 (2019): 2133. http://dx.doi.org/10.3390/rs11182133.

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This work presents the development of an efficient tool for managing, visualizing, analysing, and integrating with other data sources, the deformation time-series obtained by applying the advanced differential interferometric synthetic aperture radar (DInSAR) techniques. To implement such a tool we extend the functionalities of GeoNode, which is a web-based platform providing an open source framework based on the Open Geospatial Consortium (OGC) standards, that allows development of Geospatial Information Systems (GIS) and Spatial Data Infrastructures (SDI). In particular, our efforts have bee

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Bonì, R., G. Herrera, C. Meisina, et al. "Application of multi-sensor advanced DInSAR analysis to severe land subsidence recognition: Alto Guadalentín Basin (Spain)." Proceedings of the International Association of Hydrological Sciences 372 (November 12, 2015): 45–48. http://dx.doi.org/10.5194/piahs-372-45-2015.

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Abstract. Multi-sensor advanced DInSAR analyses have been performed and compared with two GPS station measurements, in order to evaluate the land subsidence evolution in a 20-year period, in the Alto Guadalentín Basin where the highest rate of man-induced subsidence (> 10 cm yr−1) of Europe had been detected. The control mechanisms have been examined comparing the advanced DInSAR data with conditioning and triggering factors (i.e. isobaths of Plio-Quaternary deposits, soft soil thickness and piezometric level).

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Crosetto, M., L. Solari, J. Balasis-Levinsen, et al. "DEFORMATION MONITORING AT EUROPEAN SCALE: THE COPERNICUS GROUND MOTION SERVICE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 28, 2021): 141–46. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-141-2021.

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Abstract. The Advanced Differential Interferometric SAR (A-DInSAR) technique is a class of powerful techniques to monitor ground motion. In the last two decades, the A-DInSAR technique has undergone an important development in terms of processing algorithms and the capability to monitor wide areas. This has been accompanied by an important increase of the Synthetic Aperture Radar (SAR) data acquisition capability by spaceborne sensors. An important step forward was the launch of the Copernicus Sentinel-1 constellation. The development of A-DInSAR based ground deformation services is now techni

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Crosetto, Michele, Lorenzo Solari, Marek Mróz, et al. "The Evolution of Wide-Area DInSAR: From Regional and National Services to the European Ground Motion Service." Remote Sensing 12, no. 12 (2020): 2043. http://dx.doi.org/10.3390/rs12122043.

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This study is focused on wide-area deformation monitoring initiatives based on the differential interferometric SAR technique (DInSAR). In particular, it addresses the use of advanced DInSAR (A-DInSAR) techniques, which are based on large sets of synthetic aperture radar (SAR) and Copernicus Sentinel-1 images. Such techniques have undergone a dramatic development in the last twenty years: they are now capable to process big sets of SAR images and can be exploited to realize a wide-area A-DInSAR monitoring. The study describes several initiatives to establish wide-area ground motion services (G

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Mirmazloumi, S. Mohammad, Angel Fernandez Gambin, Riccardo Palamà, et al. "Supervised Machine Learning Algorithms for Ground Motion Time Series Classification from InSAR Data." Remote Sensing 14, no. 15 (2022): 3821. http://dx.doi.org/10.3390/rs14153821.

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The increasing availability of Synthetic Aperture Radar (SAR) images facilitates the generation of rich Differential Interferometric SAR (DInSAR) data. Temporal analysis of DInSAR products, and in particular deformation Time Series (TS), enables advanced investigations for ground deformation identification. Machine Learning algorithms offer efficient tools for classifying large volumes of data. In this study, we train supervised Machine Learning models using 5000 reference samples of three datasets to classify DInSAR TS in five deformation trends: Stable, Linear, Quadratic, Bilinear, and Phase

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Bozzano, Francesca, Carlo Esposito, Paolo Mazzanti, Mauro Patti, and Stefano Scancella. "Imaging Multi-Age Construction Settlement Behaviour by Advanced SAR Interferometry." Remote Sensing 10, no. 7 (2018): 1137. http://dx.doi.org/10.3390/rs10071137.

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This paper focuses on the application of Advanced Satellite Synthetic Aperture Radar Interferometry (A-DInSAR) to subsidence-related issues, with particular reference to ground settlements due to external loads. Beyond the stratigraphic setting and the geotechnical properties of the subsoil, other relevant boundary conditions strongly influence the reliability of remotely sensed data for quantitative analyses and risk mitigation purposes. Because most of the Persistent Scatterer Interferometry (PSI) measurement points (Persistent Scatterers, PSs) lie on structures and infrastructures, the foun

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Bonì, Roberta, Claudia Meisina, Pietro Teatini, et al. "Understanding the dynamic behaviour for the Madrid aquifer (Spain): insights from the integration of A-DInSAR and 3-D groundwater flow and geomechanical models." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 409–14. http://dx.doi.org/10.5194/piahs-382-409-2020.

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Abstract. Advanced Differential Interferometric Synthetic Aperture Radar (A-DInSAR) techniques and 3-D groundwater flow and geomechanical models are integrated to improve our knowledge about the Tertiary detritic aquifer of Madrid (TDAM). In particular, the attention is focused on the Manzanares-Jarama well field, located to the northwest of Madrid, which experienced five cycles of extensive groundwater withdrawal followed by natural recovery, to cope with the droughts occurred in summer 1995, 1999, 2002, 2006, and 2009. Piezometric records and A-DInSAR data acquired by ERS-1/2 and ENVISAT sat

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Corsetti, Marco, Fabrizio Fossati, Michele Manunta, and Maria Marsella. "Advanced SBAS-DInSAR Technique for Controlling Large Civil Infrastructures: An Application to the Genzano di Lucania Dam." Sensors 18, no. 7 (2018): 2371. http://dx.doi.org/10.3390/s18072371.

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Monitoring surface deformation on dams is commonly carried out by in situ geodetic surveying, which is time consuming and characterized by some limitations in space coverage and frequency. More recently microwave satellite-based technologies, such as advanced-DInSAR (Differential Synthetic Aperture Radar Interferometry), have allowed the integration and improvement of the observation capabilities of ground-based methods thanks to their effectiveness in collecting displacement measurements on many non-destructive control points, corresponding to radar reflecting targets. The availability of suc

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Di Stefano, F., M. Cuevas-Gonzalez, G. Luzi, and E. S. Malinverni. "ASSESSING LEVELLING AND DINSAR FOR DEFORMATION MONITORING IN SEISMIC REGION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 263–70. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-263-2022.

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Abstract. Carrying out monitoring surveys in seismic regions is good practice both for the assessment of land deformation and the evaluation of building structures standing on it. In this work, topographic levelling and DInSAR techniques have been used for displacement measurement. These geomatic techniques are rarely applied in the same context and attempts are made to combine the results obtained for having a complete analysis of the site. The proposed work analyses, compares and discusses topographic levelling and advanced multi-temporal DInSAR techniques used to detect and measure ground d

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Antonielli, Mazzanti, Rocca, Bozzano, and Dei Cas. "A-DInSAR Performance for Updating Landslide Inventory in Mountain Areas: An Example from Lombardy Region (Italy)." Geosciences 9, no. 9 (2019): 364. http://dx.doi.org/10.3390/geosciences9090364.

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This work focuses on the capabilities and limitations of the Advanced Satellite SAR (Synthetic Aperture Radar) Interferometry (A-DInSAR) in wooded and mountainous regions, with the aim to get insights on the performances for studying slow-moving landslides. The considered critical issues are related to the SAR acquisition geometries (angle of incidence of the satellite line of sight , ascending and descending geometries) and to the physical and morphological features of the slopes (land use, aspect and slope angles), which influence the measuring points coverage. 26 areas in Lombardy Region (I

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Crosetto, M., S. Shahbazi, M. Cuevas-González, J. Navarro, and M. Mróz. "ADVANCED ANALYSIS TOOLS FOR THE EUROPEAN GROUND MOTION SERVICE DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 1229–34. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1229-2023.

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Abstract. This paper is focused on Advanced Differential Interferometric SAR (A-DInSAR). In the first part, the paper describes the European Ground Motion Service (EGMS), a new service of the Copernicus Land Monitoring Service. The EGMS provides consistent, regular, standardized, harmonized and reliable information regarding natural and anthropogenic ground motion over Europe. It is derived from A-DInSAR analysis of Copernicus Sentinel-1 data. The EGMS includes three main products: Basic, i.e. basic deformation maps delivered for individual and consistent frames of image stacks; Calibrated, i.

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Antonielli, Benedetta, Alessandra Sciortino, Stefano Scancella, Francesca Bozzano, and Paolo Mazzanti. "Tracking Deformation Processes at the Legnica Glogow Copper District (Poland) by Satellite InSAR—I: Room and Pillar Mine District." Land 10, no. 6 (2021): 653. http://dx.doi.org/10.3390/land10060653.

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Mining exploitation leads to slow or rapid ground subsidence resulting from deformation until the collapse of underground post-mining voids following excavation activities. Satellite SAR interferometry capabilities for the evaluation of ground movements allows the monitoring of intensive surface mine subsidence and can provide new knowledge about the risks in the mining industry. This work integrates both conventional and advanced Differential SAR Interferometry (DInSAR) to study the ground subsidence in the Legnica Glogow Copper District (LGCD, Poland) by processing about 400 Sentinel-1 image

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Fárová, Kateřina, Jan Jelének, Veronika Kopačková-Strnadová, and Petr Kycl. "Comparing DInSAR and PSI Techniques Employed to Sentinel-1 Data to Monitor Highway Stability: A Case Study of a Massive Dobkovičky Landslide, Czech Republic." Remote Sensing 11, no. 22 (2019): 2670. http://dx.doi.org/10.3390/rs11222670.

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Single-pair differential synthetic aperture radar interferometry (DInSAR) as well as more advanced methods, such as persistent scatterer interferometry (PSI), allow vertical displacements to be detected at the sub-centimeter level. Since 2014 free SAR data—Sentinel-1—have been collected systematically under the COPERNICUS program at a high temporal resolution and with global coverage. Such an open-access policy greatly helps build a wide user-community and develop diverse SAR-based applications. In this study conventional single-pair DInSAR and the PSI techniques were employed to monitor the v

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Di Lisa, Michele, Hossam Eldin A. Ali, Paolo Mazzanti, and Serena Moretto. "Inferring the Creep Settlement Behavior of Rockfill in Reclaimed Lands by Advanced SAR Interferometry and Numerical Modeling: An Example from Arabian Gulf." Remote Sensing 12, no. 3 (2020): 527. http://dx.doi.org/10.3390/rs12030527.

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Satellite Advanced Differential Synthetic Aperture Radar Interferometry (A-DInSAR) is becaming a key-technique for monitoring ground deformations. The potential of A-DInSAR for settlement monitoring is exploited in this paper through the investigation of a reclaimed land in Dubai (UAE). Time histories of displacements were obtained from COSMO-SkyMed satellite images over the period between 2011 to 2016, allowing to derive the long-term deformation of the entire artificial island. Special attention was paid on long-term settlement of the hydraulically-placed rockfill of the peripheral rubble-mo

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Kelevitz, Krisztina, Kristy F. Tiampo, and Brianna D. Corsa. "Improved Real-Time Natural Hazard Monitoring Using Automated DInSAR Time Series." Remote Sensing 13, no. 5 (2021): 867. http://dx.doi.org/10.3390/rs13050867.

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As part of the collaborative GeoSciFramework project, we are establising a monitoring system for the Yellowstone volcanic area that integrates multiple geodetic and seismic data sets into an advanced cyber-infrastructure framework that will enable real-time streaming data analytics and machine learning and allow us to better characterize associated long- and short-term hazards. The goal is to continuously ingest both remote sensing (GNSS, DInSAR) and ground-based (seismic, thermal and gas observations, strainmeter, tiltmeter and gravity measurements) data and query and analyse them in near-rea

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Czarnogorska, M., S. Samsonov, and D. White. "Ground deformation monitoring using RADARSAT-2 DInSAR-MSBAS at the Aquistore CO₂ storage site in Saskatchewan (Canada)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 81–87. http://dx.doi.org/10.5194/isprsarchives-xl-1-81-2014.

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The research objectives of the Aquistore CO<sub>2</sub> storage project are to design, adapt, and test non-seismic monitoring methods for measurement, and verification of CO<sub>2</sub> storage, and to integrate data to determine subsurface fluid distributions, pressure changes and associated surface deformation. Aquistore site is located near Estevan in Southern Saskatchewan on the South flank of the Souris River and west of the Boundary Dam Power Station and the historical part of Estevan coal mine in southeastern Saskatchewan, Canada. Several monitoring techniques we

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Cuervas-Mons, J., M.J. Domínguez-Cuesta, J.A. Carrillo, F. Mateos-Redondo, O. Monserrat, and A. Barra. "Aplicación de A-DInSAR al análisis de movimientos del terreno: un caso de estudio en Asturias (N España)." Geogaceta de la Sociedad Geológica Española 74 (January 1, 2023): 95–98. https://doi.org/10.55407/geogaceta98230.

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In this work, A-DInSAR (Advanced-Differential SAR Interferometry) techniques have been applied to study ground motion in the surroundings of Boo, Asturias (N Spain). For this purpose, 57 SAR images from the Sentinel-1 A satellite were processed between February 2018 and January 2020 by means of the PSIG (Persistent Scatterer Interferometry of Geomatics Division of CTTC) software. The results allowed identifying mean deformation velocities in the Line-of-Sight direction (LOS) ranging from –35.9 to 13.5 mm year–1. The evidence detected during the fieldwork has allowed relating these velocities w

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Mele, Annalisa, Autilia Vitiello, Manuela Bonano, et al. "On the Joint Exploitation of Satellite DInSAR Measurements and DBSCAN-Based Techniques for Preliminary Identification and Ranking of Critical Constructions in a Built Environment." Remote Sensing 14, no. 8 (2022): 1872. http://dx.doi.org/10.3390/rs14081872.

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The need for widespread structural safety checks represents a stimulus for the research of advanced techniques for structural monitoring at the scale of single constructions or wide areas. In this work, a strategy to preliminarily identify and rank possible critical constructions in a built environment is presented, based on the joint exploitation of satellite radar remote sensing measurements and artificial intelligence (AI) techniques. The satellite measurements are represented by the displacement time series obtained through the Differential Synthetic Aperture Radar Interferometry (DInSAR)

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Balik Sanli, F., F. Calò, S. Abdikan, A. Pepe, and T. Gorum. "Analysis of deformation patterns through advanced DINSAR techniques in Istanbul megacity." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7 (September 19, 2014): 19–21. http://dx.doi.org/10.5194/isprsarchives-xl-7-19-2014.

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As result of the Turkey’s economic growth and heavy migration processes from rural areas, Istanbul has experienced a high urbanization rate, with severe impacts on the environment in terms of natural resources pressure, land-cover changes and uncontrolled sprawl. As a consequence, the city became extremely vulnerable to natural and man-made hazards, inducing ground deformation phenomena that threaten buildings and infrastructures and often cause significant socio-economic losses. Therefore, the detection and monitoring of such deformation patterns is of primary importance for hazard and risk a

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Farías, Celina Anael, Michelle Lenardón Sánchez, Roberta Bonì, and Francesca Cigna. "Statistical and Independent Component Analysis of Sentinel-1 InSAR Time Series to Assess Land Subsidence Trends." Remote Sensing 16, no. 21 (2024): 4066. http://dx.doi.org/10.3390/rs16214066.

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Advanced statistics can enable the detailed characterization of ground deformation time series, which is a fundamental step for thoroughly understanding the phenomena of land subsidence and their main drivers. This study presents a novel methodological approach based on pre-existing open-access statistical tools to exploit satellite differential interferometric synthetic aperture radar (DInSAR) data to investigate land subsidence processes, using European Ground Motion Service (EGMS) Sentinel-1 DInSAR 2018−2022 datasets. The workflow involves the implementation of Persistent Scatterers (PS) ti

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Herrera, G., J. A. Fernández, R. Tomás, G. Cooksley, and J. Mulas. "Advanced interpretation of subsidence in Murcia (SE Spain) using A-DInSAR data – modelling and validation." Natural Hazards and Earth System Sciences 9, no. 3 (2009): 647–61. http://dx.doi.org/10.5194/nhess-9-647-2009.

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Abstract. Subsidence is a natural hazard that affects wide areas in the world causing important economic costs annually. This phenomenon has occurred in the metropolitan area of Murcia City (SE Spain) as a result of groundwater overexploitation. In this work aquifer system subsidence is investigated using an advanced differential SAR interferometry remote sensing technique (A-DInSAR) called Stable Point Network (SPN). The SPN derived displacement results, mainly the velocity displacement maps and the time series of the displacement, reveal that in the period 2004–2008 the rate of subsidence in

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Mantovani, Matteo, Giulia Bossi, Gianluca Marcato, et al. "New Perspectives in Landslide Displacement Detection Using Sentinel-1 Datasets." Remote Sensing 11, no. 18 (2019): 2135. http://dx.doi.org/10.3390/rs11182135.

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Space-borne radar interferometry is a fundamental tool to detect and measure a variety of ground surface deformations, either human induced or originated by natural processes. Latest development of radar remote sensing imaging techniques and the increasing number of space missions, specifically designed for interferometry analyses, led to the development of new and more effective approaches, commonly referred to as Advanced DInSAR (A-DInSAR) or Time Series Radar Interferometry (TS-InSAR). Nevertheless, even if these methods were proved to be suitable for the study of a large majority of ground

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Cardone, Davide, Martina Cignetti, Davide Notti, et al. "Slope-Scale Evolution Categorization of Deep-Seated Slope Deformation Phenomena with Sentinel-1 Data." Remote Sensing 15, no. 23 (2023): 5440. http://dx.doi.org/10.3390/rs15235440.

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Deep-seated gravitational slope deformations (DsGSDs) are slope-scale phenomena which are widespread in mountainous regions. Despite interacting with human infrastructures and settlements, only a few cases are monitored with ground-based systems. Remote sensing technologies have recently become a consolidated instrument for monitoring and studying such widespread and slow processes. This paper proposes a three-step novel methodology to analyze the morpho-structural domain of DsGSDs by exploiting the advanced Differential Synthetic Aperture Radar Interferometry (A-DInSAR) technique through (i)

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de la Barreda-Bautista, Betsabé, Martha J. Ledger, Sofie Sjögersten, et al. "Exploring Spatial Patterns of Tropical Peatland Subsidence in Selangor, Malaysia Using the APSIS-DInSAR Technique." Remote Sensing 16, no. 12 (2024): 2249. http://dx.doi.org/10.3390/rs16122249.

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Tropical peatlands in Southeast Asia have experienced widespread subsidence due to forest clearance and drainage for agriculture, oil palm and pulp wood production, causing concerns about their function as a long-term carbon store. Peatland drainage leads to subsidence (lowering of peatland surface), an indicator of degraded peatlands, while stability/uplift indicates peatland accumulation and ecosystem health. We used the Advanced Pixel System using the Intermittent SBAS (ASPIS-DInSAR) technique with biophysical and geographical data to investigate the impact of peatland drainage and agricult

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Milev, N., A. Totsev, and M. Angelova. "Advanced technologies for landslide monitoring." IOP Conference Series: Materials Science and Engineering 1297, no. 1 (2023): 012008. http://dx.doi.org/10.1088/1757-899x/1297/1/012008.

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Abstract The article reviews modern landslide monitoring methods. The purpose of the observation method in the design and control of the behavior of geotechnical structures and its role in creating chances for cost savings or pre-emptively averting construction risks is a driving force in the context of landslides. This approach is established within Eurocode 7 as a fundamental tenet of geotechnical design, serving as a valid validation method for limit states. Monitoring of large areas is common in everyday engineering practice which makes the installation of transducers in multiple points ve

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Kääb, Andreas, Bernard Lefauconnier, and Kjetil Melvold. "Flow field of Kronebreen, Svalbard, using repeated Landsat 7 and ASTER data." Annals of Glaciology 42 (2005): 7–13. http://dx.doi.org/10.3189/172756405781812916.

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AbstractKnowledge about the spatio-temporal distribution of fast-flowing Arctic glaciers is still limited. Kronebreen, Svalbard, in particular, includes the confluence − and the dynamic interplay − of the fast-flowing Kronebreen and the currently slow-flowing Kongsvegen. In this study, image-matching techniques on the basis of repeated Landsat 7 Enhanced Thematic Mapper Plus (ETM+) pan and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite data are applied in order to derive surface velocity fields of the lowermost 10 km of Kronebreen for the annual periods 1999/2

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YAN, Yue-guan, Hua-yang DAI, Lin-lin GE, Hay-Man Ng Alex, and Xiao-jing LI. "Calculation revision method of advanced influence angles in subsidence area based on DInSAR." JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING 29, no. 4 (2012): 290–94. http://dx.doi.org/10.3724/sp.j.1249.2012.04290.

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Calò, Fabiana, Francesca Ardizzone, Raffaele Castaldo, et al. "Enhanced landslide investigations through advanced DInSAR techniques: The Ivancich case study, Assisi, Italy." Remote Sensing of Environment 142 (February 2014): 69–82. http://dx.doi.org/10.1016/j.rse.2013.11.003.

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Galve, Jorge Pedro, Carmen Castañeda, Francisco Gutiérrez, and Gerardo Herrera. "Assessing sinkhole activity in the Ebro Valley mantled evaporite karst using advanced DInSAR." Geomorphology 229 (January 2015): 30–44. http://dx.doi.org/10.1016/j.geomorph.2014.07.035.

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Herrera, G., R. Tomás, J. M. Lopez-Sanchez, et al. "Advanced DInSAR analysis on mining areas: La Union case study (Murcia, SE Spain)." Engineering Geology 90, no. 3-4 (2007): 148–59. http://dx.doi.org/10.1016/j.enggeo.2007.01.001.

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Blanco-Sánchez, Pablo, Jordi J. Mallorquí, Sergi Duque, and Daniel Monells. "The Coherent Pixels Technique (CPT): An Advanced DInSAR Technique for Nonlinear Deformation Monitoring." Pure and Applied Geophysics 165, no. 6 (2008): 1167–93. http://dx.doi.org/10.1007/s00024-008-0352-6.

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D’Aranno, P., A. Di Benedetto, M. Fiani, and M. Marsella. "REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W11 (May 4, 2019): 461–68. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w11-461-2019.

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<p><strong>Abstract.</strong> The need for a continuous evaluation of the state of preservation of civil infrastructures during their lifetime is increasingly requiring advanced monitoring technologies. The improvement of spatial and temporal resolution of the measurements is now one of the most significant achievement, especially for large infrastructures. Monitoring actions are necessary to maintain safety conditions by controlling the evolution of deformation patterns or detecting significant instabilities. Remote sensing technique such as Differential Interferometry by Sy

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Vöge, M., R. Frauenfelder, K. Ekseth, M. K. Arora, A. Bhattacharya, and R. K. Basin. "The use of SAR interferometry for landslide mapping in the Indian Himalayas." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 857–63. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-857-2015.

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The aim of the here presented research was to investigate the potential of two-pass differential InSAR, and advanced DInSAR techniques, such as Small Baseline Subset (SBAS) and Persistent Scatterers (PS) interferometry, in order to detect and monitor the temporal behaviour of surface deformations in selected areas of the Garhwal and Kumaon Himalaya. We present results from the surroundings of the town of Nainital, from the Mansa Devi Hills area, and the areas around the cities of Chamoli Gopeshwar and Joshimath.

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Wang, Rui, Kan Wu, Qimin He, Yibo He, Yuanyuan Gu, and Shuang Wu. "A Novel Method of Monitoring Surface Subsidence Law Based on Probability Integral Model Combined with Active and Passive Remote Sensing Data." Remote Sensing 14, no. 2 (2022): 299. http://dx.doi.org/10.3390/rs14020299.

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For the accurate and high-precision measurement of the deformation field in mining areas using different data sources, the probability integral model was used to process deformation data obtained from an Unmanned Aerial Vehicle (UAV), Differential InSAR (DInSAR), and Small Baseline Subset InSAR (SBAS-InSAR) to obtain the complete deformation field. The SBAS-InSAR, DInSAR, and UAV can be used to obtain small-scale, mesoscale, and large-scale deformations, respectively. The three types of data were all superimposed by the Kriging interpolation, and the deformation field was integrated using the

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Lanari, Riccardo, Manuela Bonano, Francesco Casu, et al. "Automatic Generation of Sentinel-1 Continental Scale DInSAR Deformation Time Series through an Extended P-SBAS Processing Pipeline in a Cloud Computing Environment." Remote Sensing 12, no. 18 (2020): 2961. http://dx.doi.org/10.3390/rs12182961.

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We present in this work an advanced processing pipeline for continental scale differential synthetic aperture radar (DInSAR) deformation time series generation, which is based on the parallel small baseline subset (P-SBAS) approach and on the joint exploitation of Sentinel-1 (S-1) interferometric wide swath (IWS) SAR data, continuous global navigation satellite system (GNSS) position time-series, and cloud computing (CC) resources. We first briefly describe the basic rationale of the adopted P-SBAS processing approach, tailored to deal with S-1 IWS SAR data and to be implemented in a CC enviro

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Balaji, Preethi Malur, and Shashi Kumar. "Effect of Atmospheric propagation of Electromagnetic Wave on DInSAR Phase." Proceedings 18, no. 1 (2019): 5. http://dx.doi.org/10.3390/ecrs-3-06188.

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Earth’s topography and deformation mapping have become easier by the use of a geodetic technique popularly known as repeat-pass Synthetic Aperture Radio Detection and Ranging (SAR/RADAR) Interferometry (InSAR). However, the measurements obtained through InSAR are liable to atmospheric errors. Water vapor and clouds present in the troposphere and the Total Electron Content (TEC) of the ionosphere are responsible for the additional path delay in the wave. An increase is induced in the observed range due to tropospheric refractivity and path shortenings are observed due to ionospheric electron de

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Sui, Lichun, Fei Ma, and Nan Chen. "Mining Subsidence Prediction by Combining Support Vector Machine Regression and Interferometric Synthetic Aperture Radar Data." ISPRS International Journal of Geo-Information 9, no. 6 (2020): 390. http://dx.doi.org/10.3390/ijgi9060390.

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Mining subsidence is time-dependent and highly nonlinear, especially in the Loess Plateau region in Northwestern China. As a consequence, and mainly in building agglomerations, the structures can be damaged severely during or after underground extraction, with risks to human life. In this paper, we propose an approach based on a combination of a differential interferometric synthetic aperture radar (DInSAR) technique and a support vector machine (SVM) regression algorithm optimized by grid search (GS-SVR) to predict mining subsidence in a timely and cost-efficient manner. We consider five Adva

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Rafiei, F., S. Gharechelou, and M. Hosseinpoor. "ASSESSMENT OF LAND DEFORMATION AND LAND USE RELATIONSHIP IN GARMSAR ALLUVIAL FAN USING SENTINEL-1 DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-1-2023 (April 21, 2023): 271–76. http://dx.doi.org/10.5194/isprs-archives-xlviii-m-1-2023-271-2023.

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Abstract. Differential Synthetic Aperture Radar Interferometry (DInSAR) allows displacements to be detected with millimeter accuracy as well as more advanced methods, such as Persistent Scatterer Interferometry (PSI). Sentinel-1 data have been collected systematically under the COPERNICUS program at a high temporal resolution with global coverage, helping us to build a wide user community and develop miscellaneous SAR-based applications. In the Garmsar alluvial fan, the long-term groundwater overexploitation due to agricultural and urban demands, the utilization of urban space, and erosion hav

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Ramirez, Ryan, Seung-Rae Lee, and 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 (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

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Krishnakumar, Vrinda, Zhiwei Qiu, Oriol Monserrat, et al. "Sentinel-1 A-DInSAR Approaches to Map and Monitor Ground Displacements." Remote Sensing 13, no. 6 (2021): 1120. http://dx.doi.org/10.3390/rs13061120.

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Persistent scatterer interferometry (PSI) is a group of advanced interferometric synthetic aperture radar (SAR) techniques used to measure and monitor terrain deformation. Sentinel-1 has improved the data acquisition throughout and, compared to previous sensors, increased considerably the differential interferometric SAR (DInSAR) and PSI deformation monitoring potential. The low density of persistent scatterer (PS) in non-urban areas is a critical issue in DInSAR and has inspired the development of alternative approaches and refinement of the PS chains. This paper proposes two different and co

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Cascini, Leonardo, Gianfranco Fornaro, and Dario Peduto. "Advanced low- and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales." Engineering Geology 112, no. 1-4 (2010): 29–42. http://dx.doi.org/10.1016/j.enggeo.2010.01.003.

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Bonì, Roberta, Gerardo Herrera, Claudia Meisina, et al. "Twenty-year advanced DInSAR analysis of severe land subsidence: The Alto Guadalentín Basin (Spain) case study." Engineering Geology 198 (November 2015): 40–52. http://dx.doi.org/10.1016/j.enggeo.2015.08.014.

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Crosetto, M., A. Budillon, A. Johnsy, et al. "URBAN MONITORING BASED ON SENTINEL-1 DATA USING PERMANENT SCATTERER INTERFEROMETRY AND SAR TOMOGRAPHY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 235–38. http://dx.doi.org/10.5194/isprs-archives-xlii-3-235-2018.

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A lot of research and development has been devoted to the exploitation of satellite SAR images for deformation measurement and monitoring purposes since Differential Interferometric Synthetic Apertura Radar (InSAR) was first described in 1989. In this work, we consider two main classes of advanced DInSAR techniques: Persistent Scatterer Interferometry and Tomographic SAR. Both techniques make use of multiple SAR images acquired over the same site and advanced procedures to separate the deformation component from the other phase components, such as the residual topographic component, the atmosp

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Dou, Fangjia, Xiaolei Lv, Qi Chen, Guangcai Sun, Ye Yun, and Xiao Zhou. "The Impact of SAR Parameter Errors on the Ionospheric Correction Based on the Range-Doppler Model and the Split-Spectrum Method." Remote Sensing 12, no. 10 (2020): 1607. http://dx.doi.org/10.3390/rs12101607.

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Interferometric synthetic aperture radar (InSAR) products may be significantly distorted by microwave signals traveling through the ionosphere, especially with long wavelengths. The split-spectrum method (SSM) is used to separate the ionospheric and the nondispersive phase terms with lower and higher spectral sub-band interferogram images. However, the ionospheric path delay phase is very delicate to the synthetic aperture radar (SAR) parameters including orbit vectors, slant range, and target height. In this paper, we get the impact of SAR parameter errors on the ionospheric phase by two step

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Herrera, G., F. Gutiérrez, J. C. García-Davalillo, et al. "Multi-sensor advanced DInSAR monitoring of very slow landslides: The Tena Valley case study (Central Spanish Pyrenees)." Remote Sensing of Environment 128 (January 2013): 31–43. http://dx.doi.org/10.1016/j.rse.2012.09.020.

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Samsonov, Sergey V., Kristy F. Tiampo, Antonio G. Camacho, José Fernández, and Pablo J. González. "Spatiotemporal analysis and interpretation of 1993-2013 ground deformation at Campi Flegrei, Italy, observed by advanced DInSAR." Geophysical Research Letters 41, no. 17 (2014): 6101–8. http://dx.doi.org/10.1002/2014gl060595.

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Yang, C. H., A. Müterthies, and U. Soergel. "WORKABLE MONITORING SYSTEM BASED ON SPACEBORNE SAR IMAGES FOR MINING AREAS - STINGS DEVELOPMENT PROJECT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1951–57. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1951-2019.

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<p><strong>Abstract.</strong> Nowadays monitoring of mining areas, e.g., regarding dam stability, has become increasingly important with rising awareness of safety and environmental protection. An appropriate monitoring scheme is necessitated to legally activate, reactivate, or terminate mining operations. Usually such monitoring relies on in situ surveys, which are unrealistic to cover an extensive mining area. Alternatively, remote sensing based on spaceborne data offers efficient and cost-effective solutions for regular surveillance of large areas. Spaceborne SAR sensors p

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Mura, José, Fábio Gama, Waldir Paradella, et al. "Monitoring the Vulnerability of the Dam and Dikes in Germano Iron Mining Area after the Collapse of the Tailings Dam of Fundão (Mariana-MG, Brazil) Using DInSAR Techniques with TerraSAR-X Data." Remote Sensing 10, no. 10 (2018): 1507. http://dx.doi.org/10.3390/rs10101507.

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The Fundão tailings dam in the Germano iron mining complex (Mariana, Brazil) collapsed on the afternoon of 5 November 2015, and around 32.6 million cubic meters of mining waste spilled from the dam, causing polluion with mining waste along a trajectory of 668 km, extending to the Atlantic Ocean. The Sela & Tulipa and Selinha dikes, and the main Germano tailings dam, were directly or indirectly affected by the accident. This work presents an investigation using Advanced-Differential Interferometric Synthetic Aperture Radar (A-DInSAR) techniques for risk assessment in these critical structur

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Vassileva, Magdalena S., Mahdi Motagh, Thomas R. Walter, Hans-Ulrich Wetzel, and Sergey L. Senyukov. "The 29 March 2017 Yuzhno-Ozernovskoe Kamchatka Earthquake: Fault Activity in An Extension of the East Kamchatka Fault Zone as Constrained by InSAR Observations." Bulletin of the Seismological Society of America 110, no. 3 (2020): 1101–14. http://dx.doi.org/10.1785/0120190174.

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ABSTRACT Recent earthquakes off the northeastern Kamchatka coast reveal that this region is seismically active, although details of the locations and complexity of the fault system are lacking. The northern part of Kamchatka has poor coverage by permanent seismic stations and ground geodetic instruments. Here, we exploit the Differential Interferometric Synthetic Aperture Radar (DInSAR) technique to characterize the fault geometry and kinematics associated with the 29 March 2017 Mw 6.6 Yuzhno-Ozernovskoe earthquake. The aim is to contribute to identifying the active fault branches and to bette

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