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Journal articles on the topic 'Interferometric synthetic aperture radar (SAR) (InSAR)'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Rott, Helmut. "Advances in interferometric synthetic aperture radar (InSAR) in earth system science." Progress in Physical Geography: Earth and Environment 33, no. 6 (2009): 769–91. http://dx.doi.org/10.1177/0309133309350263.

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During recent years, synthetic aperture radar (SAR) interferometry (InSAR) has become an important tool for precise measurements of the earth’s surface topography and deformation. This paper presents an overview on recent developments in InSAR applications, with emphasis on the use of satellite-borne sensors for applications in geoscience, topographic mapping, natural hazard monitoring and environmental research. InSAR measurement principles are briefly introduced. Recent results on the use of repeat-pass interferometry for mapping seismic and volcanic deformation, monitoring landslides and su

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Balzter, H. "Forest mapping and monitoring with interferometric synthetic aperture radar (InSAR)." Progress in Physical Geography: Earth and Environment 25, no. 2 (2001): 159–77. http://dx.doi.org/10.1177/030913330102500201.

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A synthetic aperture radar (SAR) is an active sensor transmitting pulses of polarized electromagnetic waves and receiving the backscattered radiation. SAR sensors at different wavelengths and with different polarimetric capabilities are being used in remote sensing of the earth. The value of an analysis of backscattered energy alone is limited due to ambiguities in the possible ecological factor configurations causing the signal. From two SAR images taken from similar viewing positions with a short time-lag, interference between the two waves can be observed. By subtracting the two phases of t

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Baker, S., C. Baru, G. Bryson, et al. "Seamless Synthetic Aperture Radar Archive for Interferometry Analysis." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 65–72. http://dx.doi.org/10.5194/isprsarchives-xl-1-65-2014.

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The NASA Advancing Collaborative Connections for Earth System Science (ACCESS) seamless synthetic aperture radar (SAR) archive (SSARA) project is a collaboration between UNAVCO, the Alaska Satellite Facility (ASF), the Jet Propulsion Laboratory (JPL), and OpenTopography at the San Diego Supercomputer Center (SDSC) to design and implement a seamless distributed access system for SAR data and derived interferometric SAR (InSAR) data products. A unified application programming interface (API) has been created to search the SAR archives at ASF and UNAVCO, 30 and 90-m SRTM DEM data available throug

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Lei, Kun Chao, Hui Li Gong, Xiao Juan Li, Bei Bei Chen, Ji Wei Li, and Liu Lin Song. "The Application of PS-InSAR Technology on Land Subsidence in Cangzhou Region." Advanced Materials Research 268-270 (July 2011): 1934–39. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1934.

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Land subsidence in Cangzhou of the North China Plain, has been an ongoing problem for the past four decades (since the later 1970s). With the development of new synthetic aperture radar(SAR)sensors and interferometric synthetic aperture radar(InSAR) techniques, the application of satellite Radar data have enhanced capabilities to detect and monitor ground displacements with centimeter to millimeter precision at greater spatial detail and higher temporal resolution. We use Permanent Scatterers interferometric synthetic aperture radar（PS-InSAR）technology (Hooper, A.2004) to detect and measure gr

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Han, Song Tao, Ge Shi Tang, Yong Fei Mao, Lue Chen, and Mei Wang. "High Accuracy Algorithm of Airborne Interferometric Synthetic Aperture Radar." Applied Mechanics and Materials 128-129 (October 2011): 138–41. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.138.

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Interferometric Synthetic Aperture Radar is one of the most important technologies for topographic mapping. The DEM quality of airborne InSAR system depends on both system hardware performance and data processing methods. To derive large scale topographic and thematic maps up to scale 1:50000 and 1:10000, the whole data processing methods were presented. The methods included SAR imaging, interferometric processing and cartographic processing. Special methods were induced to resolve the problems encountered in project applications. Results using X-band airborne InSAR system data showed validity

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Pepe, Antonio. "Multi-Temporal Small Baseline Interferometric SAR Algorithms: Error Budget and Theoretical Performance." Remote Sensing 13, no. 4 (2021): 557. http://dx.doi.org/10.3390/rs13040557.

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Multi-temporal interferometric synthetic aperture radar (MT-InSAR) techniques are well recognized as useful tools for detecting and monitoring Earth’s surface temporal changes. In this work, the fundamentals of error noise propagation and perturbation theories are applied to derive the ground displacement products’ theoretical error bounds of the small baseline (SB) differential interferometric synthetic aperture radar algorithms. A general formulation of the least-squares (LS) optimization problem, representing the SB methods implementation’s core, was adopted in this research study. A partic

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HO TONG MINH, Dinh, Ramon Hanssen, and Fabio Rocca. "Radar Interferometry: 20 Years of Development in Time Series Techniques and Future Perspectives." Remote Sensing 12, no. 9 (2020): 1364. http://dx.doi.org/10.3390/rs12091364.

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The research and improvement of methods to be used for deformation measurements from space is a challenge. From the previous 20 years, time series Synthetic Aperture Radar (SAR) interferometry techniques have proved for their ability to provide millimeter-scale deformation measurements over time. This paper aims to provide a review of such techniques developed in the last twenty years. We first recall the background of interferometric SAR (InSAR). We then provide an overview of the InSAR time series methods developed in the literature, describing their principles and advancements. Finally, we

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Grzesiak, Karolina, and Wojciech J. Milczarek. "LOS Displacements of Mauna Loa volcano, Hawaii Island, as determined using SBAS-InSAR." E3S Web of Conferences 55 (2018): 00006. http://dx.doi.org/10.1051/e3sconf/20185500006.

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This paper presents an overview of the surface displacements retrieval capability of the Differential Synthetic Aperture Radar Interferometry algorithm, using Small Baseline Subset (SBAS) technique, in the context of active volcanic areas. Based on Sentinel-1A images, time series displacements fields of the Mauna Loa volcano area over a 2-year time interval (between 2015 and 2017) were received using batch processing. Based on 35 radar images, a total of 179 interferograms have been calculated. Methodology of Synthetic Aperture Radar (SAR) Sentinel-1 ESA satellite mission data processing with

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Xu, Bing, Zhiwei Li, Yan Zhu, Jiancun Shi, and Guangcai Feng. "SAR Interferometric Baseline Refinement Based on Flat-Earth Phase without a Ground Control Point." Remote Sensing 12, no. 2 (2020): 233. http://dx.doi.org/10.3390/rs12020233.

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Interferometric baseline estimation is a key procedure of interferometric synthetic aperture radar (SAR) data processing. The error of the interferometric baseline affects not only the removal of the flat-earth phase, but also the transformation coefficient between the topographic phase and elevation, which will affect the topographic phase removal for differential interferometric SAR (D-InSAR) and the accuracy of the final generated digital elevation model (DEM) product for interferometric synthetic aperture (InSAR). To obtain a highly accurate interferometric baseline, this paper firstly inv

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Budillon, Alessandra, Michele Crosetto, and Oriol Monserrat. "Editorial for the Special Issue “Urban Deformation Monitoring using Persistent Scatterer Interferometry and SAR Tomography”." Remote Sensing 11, no. 11 (2019): 1306. http://dx.doi.org/10.3390/rs11111306.

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This Special Issue hosts papers related to deformation monitoring in urban areas based on two main techniques: Persistent Scatterer Interferometry (PSI) and Synthetic Aperture Radar (SAR) Tomography (TomoSAR). Several contributions highlight the capabilities of Interferometric SAR (InSAR) and PSI techniques for urban deformation monitoring. In this Special Issue, a wide range of InSAR and PSI applications are addressed. Some contributions show the advantages of TomoSAR in un-mixing multiple scatterers for urban mapping and monitoring. This issue includes a contribution that compares PSI and To

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Gao, Yang, Jin Song Du, Yi Yang Liu, and Xin Bi. "Research on Motion Compensation for Airborne SAR Interferometry System." Advanced Materials Research 684 (April 2013): 414–19. http://dx.doi.org/10.4028/www.scientific.net/amr.684.414.

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Deviation from definitive flight path of a plane fixed a synthetic aperture radar (SAR) leads to inaccurate and defocused radar images, which has serious effect on the SAR interferometry (InSAR) processing. Therefore, the precise motion compensation (MOCO) for the airborne SAR interferometric data is the key to obtain high quality digital elevation model (DEM).The position and orientation system (POS)-based residual motion error compensation method is designed. Considering the precision of POS, there will be residual motion error after the POS-based MOCO, which have serious effect on the inter

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Chen, Yi Fei, and Hua Ping Xu. "Comparative Study of Speckle Noise Reduction Approaches for Interferometric Synthetic Aperture Radar Images." Applied Mechanics and Materials 427-429 (September 2013): 1735–38. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1735.

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Speckle noise appearing in the interferometric SAR (InSAR) phase image degrades the quality of interferogram seriously and makes interferogram reflect the scattering characteristics of the target inaccurately, reducing the capability of extracting DEM information of target areas. Therefore, speckle noise reduction plays a major role in InSAR processing by using interferogram filtering. First, according to a terrain model with the assumed geometrical parameters in InSAR system, the paper simulated an interferometric SAR phase image with noise, which can be characterized by the multilook phase d

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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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Wang, Zhongbin, Bingnan Wang, Maosheng Xiang, et al. "A Coherence Improvement Method Based on Sub-Aperture InSAR for Human Activity Detection." Sensors 21, no. 4 (2021): 1424. http://dx.doi.org/10.3390/s21041424.

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Human activity detection plays an important role in social security monitoring. Since human activity is very weak, it is necessary to employ the repeat-pass Interferometric Synthetic Aperture Radar (InSAR) technique to detect the potential activity between two data acquisitions; a high level of coherence is required for detection. With the object of detecting human activity of interest, this paper presents a coherence improvement approach based on sub-aperture InSAR for human activity detection. Different sub-apertures contain different scattering information of the target, as they represent t

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Li, Bing, Zemin Wang, Jiachun An, et al. "Ionospheric Phase Compensation for InSAR Measurements Based on the Faraday Rotation Inversion Method." Sensors 20, no. 23 (2020): 6877. http://dx.doi.org/10.3390/s20236877.

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The ionospheric error can significantly affect the synthetic aperture radar (SAR) signals, particularly in the case of L band and lower frequency SAR systems. The ionospheric distortions are mixed with terrain and ground deformation signals, lowering the precision of the interferometric measurements. Moreover, it is often difficult to detect the small-scale ionospheric structure due to its rapid changes and may have more influence on ionospheric phase compensation for InSAR measurements. In this paper, we present a Faraday rotation (FR) inversion method and corresponding procedure to compensat

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Solano-Rojas, Dario E., Shimon Wdowinski, Enrique Cabral-Cano, Batuhan Osmanoglu, Emre Havazli, and Jesus Pacheco-Martínez. "A multiscale approach for detection and mapping differential subsidence using multi-platform InSAR products." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 173–77. http://dx.doi.org/10.5194/piahs-382-173-2020.

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Abstract. Detecting and mapping subsidence is currently supported by interferometric synthetic aperture radar (InSAR) products. However, several factors, such as band-dependent processing, noise presence, and strong subsidence limit the use of InSAR for assessing differential subsidence, which can lead to ground instability and damage to infrastructure. In this work, we propose an approach for measuring and mapping differential subsidence using InSAR products. We consider synthetic aperture radar (SAR) data availability, data coverage over time and space, and the region's subsidence rates to e

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McMillan, Malcolm, Andrew Shepherd, Noel Gourmelen, et al. "Mapping ice-shelf flow with interferometric synthetic aperture radar stacking." Journal of Glaciology 58, no. 208 (2012): 265–77. http://dx.doi.org/10.3189/2012jog11j072.

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AbstractInterferometric synthetic aperture radar (InSAR) observations of ice-shelf flow contain ocean-tide and atmospheric-pressure signals. A model-based correction can be applied, but this method is limited by its dependency upon model accuracy, which in remote regions can be uncertain. Here we describe a method to determine two-dimensional ice-shelf flow vectors independently of model predictions of tide and atmospheric pressure, by stacking conventional and multiple aperture InSAR (MAI) observations of the Dotson Ice Shelf, West Antarctica. In this way we synthesize a longer observation pe

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Zhu, Xiao, Yuanyuan Wang, Sina Montazeri, and Nan Ge. "A Review of Ten-Year Advances of Multi-Baseline SAR Interferometry Using TerraSAR-X Data." Remote Sensing 10, no. 9 (2018): 1374. http://dx.doi.org/10.3390/rs10091374.

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Since its launch in 2007, TerraSAR-X has continuously provided spaceborne synthetic aperture radar (SAR) images of our planet with unprecedented spatial resolution, geodetic, and geometric accuracy. This has brought life to the once inscrutable SAR images, which deterred many researchers. Thanks to merits like higher spatial resolution and more precise orbit control, we are now able to indicate individual buildings, even individual floors, to pinpoint targets within centimeter accuracy. As a result, multi-baseline SAR interferometric (InSAR) techniques are flourishing, from point target-based

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H. Pandit, Prashant, Shridhar D. Jawak, and Alvarinho J. Luis. "Estimation of Velocity of the Polar Record Glacier, Antarctica Using Synthetic Aperture Radar (SAR)." Proceedings 2, no. 7 (2018): 332. http://dx.doi.org/10.3390/ecrs-2-05145.

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The ice flow velocity is a critical variable in understanding the glacier dynamics. The Synthetic Aperture Radar Interferometry (InSAR) is a robust technique to monitor Earth’s surface mainly to measure its topography and deformation. The phase information from two or more interferogram further helps to extract information about the height and displacement of the surface. We used this technique to derive glacier velocity for Polar Record Glacier (PRG), East Antarctica, using Sentinel-1 Single Look Complex images that were captured in Interferometric Wide mode. For velocity estimation, Persiste

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You, Yanan, Rui Wang, and Wenli Zhou. "An Optimized Filtering Method of Massive Interferometric SAR Data for Urban Areas by Online Tensor Decomposition." Remote Sensing 12, no. 16 (2020): 2582. http://dx.doi.org/10.3390/rs12162582.

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The filtering of multi-pass synthetic aperture radar interferometry (InSAR) stack data is a necessary preprocessing step utilized to improve the accuracy of the object-based three-dimensional information inversion in urban area. InSAR stack data is composed of multi-temporal homogeneous data, which is regarded as a third-order tensor. The InSAR tensor can be filtered by data fusion, i.e., tensor decomposition, and these filters keep balance in the noise elimination and the fringe details preservation, especially with abrupt fringe change, e.g., the edge of urban structures. However, tensor dec

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Polcari, Marco, Matteo Albano, Antonio Montuori, et al. "InSAR Monitoring of Italian Coastline Revealing Natural and Anthropogenic Ground Deformation Phenomena and Future Perspectives." Sustainability 10, no. 9 (2018): 3152. http://dx.doi.org/10.3390/su10093152.

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In this work, we use X and C-band SAR data provided by the COSMO-SkyMed and ENVISAT missions to detect and measure some ground deformation phenomena along six coastal areas of Italy. In particular, we exploit multi-temporal interferometric synthetic aperture radar (InSAR), i.e., small baseline subsets (SBAS) and interferometric point target analysis (IPTA) methods, to retrieve the deformation rate maps and time series for each investigated area. Multi-temporal InSAR analysis revealed local subsidence and uplifting effects in Ravenna Coastal Areas, Fiumicino, Campi Flegrei, Sibari Plain, August

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Fielding, Eric Jameson, Zhen Liu, Oliver L. Stephenson, et al. "Surface Deformation Related to the 2019 Mw 7.1 and 6.4 Ridgecrest Earthquakes in California from GPS, SAR Interferometry, and SAR Pixel Offsets." Seismological Research Letters 91, no. 4 (2020): 2035–46. http://dx.doi.org/10.1785/0220190302.

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Abstract We analyzed Synthetic Aperture Radar (SAR) images from Copernicus Sentinel-1A and 1B satellites operated by the European Space Agency and the Advanced Land Observation Satellite-2 (ALOS-2) satellite operated by the Japan Aerospace Exploration Agency and Global Navigation Satellite System (GNSS) data from the Network of the Americas for the 4 July 2019 Mw 6.4 and 5 July (local; 6 July UTC) Mw 7.1 Ridgecrest earthquakes. We integrated geodetic measurements for the 3D vector field of coseismic surface deformation for the two events, using SAR data from Sentinel-1 and ALOS-2 satellites. W

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Michelini, Alberto, Francesco Coppi, Alberto Bicci, and Giovanni Alli. "SPARX, a MIMO Array for Ground-Based Radar Interferometry." Sensors 19, no. 2 (2019): 252. http://dx.doi.org/10.3390/s19020252.

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Ground-Based SAR Interferometry (GB-InSAR) is nowadays a proven technique widely used for slope monitoring in open pit mines and landslide control. Traditional GB-InSAR techniques involve transmitting and receiving antennas moving on a scanner to achieve the desired synthetic aperture. Mechanical movement limits the acquisition speed of the SAR image. There is a need for faster acquisition time as it plays an important role in correcting rapidly varying atmospheric effects. Also, a fast imaging radar can extend the applications to the measurement of vibrations of large structures. Furthermore,

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Chojka, Agnieszka, Piotr Artiemjew, and Jacek Rapiński. "RFI Artefacts Detection in Sentinel-1 Level-1 SLC Data Based On Image Processing Techniques." Sensors 20, no. 10 (2020): 2919. http://dx.doi.org/10.3390/s20102919.

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Interferometric Synthetic Aperture Radar (InSAR) data are often contaminated by Radio-Frequency Interference (RFI) artefacts that make processing them more challenging. Therefore, easy to implement techniques for artefacts recognition have the potential to support the automatic Permanent Scatterers InSAR (PSInSAR) processing workflow during which faulty input data can lead to misinterpretation of the final outcomes. To address this issue, an efficient methodology was developed to mark images with RFI artefacts and as a consequence remove them from the stack of Synthetic Aperture Radar (SAR) im

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Xia, Wen Hai, and Yuan Yuan Li. "Application of Differential SAR Interferometry in Mining Subsidence Monitoring." Advanced Materials Research 864-867 (December 2013): 2735–38. http://dx.doi.org/10.4028/www.scientific.net/amr.864-867.2735.

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Differential synthetic aperture radar Interferometry has been widely applied to monitor mining subsidence for its high spatial resolution, competent accuracy and wide coverage. In this paper, we introduce the principles of InSAR, discuss several key technical issues in mining subsidence monitoring, including selection of SAR images, advanced algorithms for phase unwrapping and Persistent Scatterer InSAR technique.

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Chirico, Davide, and Gilda Schirinzi. "Multichannel interferometric SAR phase unwrapping using extended Kalman Smoother." International Journal of Microwave and Wireless Technologies 5, no. 3 (2013): 429–36. http://dx.doi.org/10.1017/s175907871300038x.

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Phase unwrapping (PU) is one of the key processing steps in reconstructing the digital elevation model (DEM) of a scene from interferometric synthetic aperture radar (InSAR) data. The PU problem entails the estimation of an absolute phase from observation of its noisy principal (wrapped) values. Recently, PU approaches based on Kalman filtering have proved their efficacy in tackling the PU problem even when strong discontinuities of the height profile and noisy data are involved. This paper presents a novel multichannel InSAR PU algorithm using several interferometric SAR images based on the e

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Reinisch, Elena C., S. Tabrez Ali, Michael Cardiff, J. Ole Kaven, and Kurt L. Feigl. "Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016." Remote Sensing 12, no. 2 (2020): 225. http://dx.doi.org/10.3390/rs12020225.

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We measure transient deformation at Coso geothermal field using interferometric synthetic aperture radar (InSAR) data acquired between 2004 and 2016 and relative positions estimated from global positioning system (GPS) to quantify relationships between deformation and pumping. We parameterize the reservoir as a cuboidal sink and solve for best-fitting reservoir dimensions and locations before and after 2010 in accordance with sustainability efforts implemented in late 2009 at the site. Time-series analysis is performed on volume changes estimated from pairs of synthetic aperture radar (SAR) an

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Xing, Xue Min. "Study on CR Point Identification in SAR Images." Applied Mechanics and Materials 204-208 (October 2012): 1754–57. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.1754.

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In the algorithm of Corner Reflector Interferometric Synthetic Aperture Radar (CR-InSAR), the identification of Corner Reflector (CR) points in SAR images is necessary. Due to the uncertainty of traditional method in estimating the row and column information of CR, this paper presents a method for CR points’ identification, which is based on the intensity and correlation coefficient. The method has been successfully used to find the CR points in the six SAR images of the study area where the identification of CR points installed along a high way is difficult. The results show that the method p

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Ren, Tianhe, Wenping Gong, Victor Mwango Bowa, Huiming Tang, Jun Chen, and Fumeng Zhao. "An Improved R-Index Model for Terrain Visibility Analysis for Landslide Monitoring with InSAR." Remote Sensing 13, no. 10 (2021): 1938. http://dx.doi.org/10.3390/rs13101938.

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The interferometric synthetic aperture radar (InSAR) technique is widely adopted for detecting and monitoring landslides, but its effectiveness is often degraded in mountainous terrains, due to geometric distortions in the synthetic aperture radar (SAR) image input. To evaluate the terrain effect on the applicability of InSAR in landslide monitoring, a variety of visibility evaluation models have been developed, among which the R-index models are quite popular. In consideration of the poor performance of the existing R-index models in the passive layover region, this study presents an improved

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Esposito, Carmen, Antonio Natale, Gianfranco Palmese, Paolo Berardino, Riccardo Lanari, and Stefano Perna. "On the Capabilities of the Italian Airborne FMCW AXIS InSAR System." Remote Sensing 12, no. 3 (2020): 539. http://dx.doi.org/10.3390/rs12030539.

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Airborne Synthetic Aperture Radar (SAR) systems are gaining increasing interest within the remote sensing community due to their operational flexibility and observation capabilities. Among these systems, those exploiting the Frequency-Modulated Continuous-Wave (FMCW) technology are compact, lightweight, and comparatively low cost. For these reasons, they are becoming very attractive, since they can be easily mounted onboard ever-smaller and highly flexible aerial platforms, like helicopters or unmanned aerial vehicles (UAVs). In this work, we present the imaging and topographic capabilities of

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Liu, Zhiwei, Cui Zhou, Haiqiang Fu, Jianjun Zhu, and Tingying Zuo. "A Framework for Correcting Ionospheric Artifacts and Atmospheric Effects to Generate High Accuracy InSAR DEM." Remote Sensing 12, no. 2 (2020): 318. http://dx.doi.org/10.3390/rs12020318.

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Repeat-pass interferometric synthetic aperture radar is a well-established technology for generating digital elevation models (DEMs). However, the interferogram usually has ionospheric and atmospheric effects, which reduces the DEM accuracy. In this paper, by introducing dual-polarization interferograms, a new approach is proposed to mitigate the ionospheric and atmospheric errors of the interferometric synthetic aperture radar (InSAR) data. The proposed method consists of two parts. First, the range split-spectrum method is applied to compensate for the ionospheric artifacts. Then, a multires

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Piter, A., M. Vassileva, M. Haghshenas Haghighi, and M. Motagh. "EXPLORING CLOUD-BASED PLATFORMS FOR RAPID INSAR TIME SERIES ANALYSIS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 28, 2021): 171–76. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-171-2021.

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Abstract. The idea of near real-time deformation analysis using Synthetic Aperture Radar (SAR) data as a response to natural and anthropogenic disasters has been an interesting topic in the last years. A major limiting factor for this purpose has been the non-availability of both spatially and temporally homogeneous SAR datasets. This has now been resolved thanks to the SAR data provided by the Sentinel-1A/B missions, freely available at a global scale via the Copernicus program of the European Space Agency (ESA). Efficient InSAR analysis in the era of Sentinel demands working with cloud-based

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Huang Lin, Liu, and Liu. "Landslide detection in La Paz City (Bolivia) based on time series analysis of InSAR data." International Journal of Remote Sensing 40, no. 17 (2019): 6775–95. http://dx.doi.org/10.1080/01431161.2019.1594434.

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Geologically, La Paz City is located in an unstable area. During the history of La Paz city, many landslides have destroyed houses and valuable infrastructures. In the last decades, time series Interferometric Synthetic Aperture Radar (InSAR) technologies have demonstrated a great capacity for detecting slow ground displacement, achieving an accuracy of millimetre-level. In order to have a better landslide monitoring of La Paz city, in this study, the Sentinel-1 SAR images have been processed by Persistent Scatterer Interferometry (PSI) and the Small Baseline Subset (SBAS) techniques. The time

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Chaabani, Chayma, Marco Chini, Riadh Abdelfattah, Renaud Hostache, and Karem Chokmani. "Flood Mapping in a Complex Environment Using Bistatic TanDEM-X/TerraSAR-X InSAR Coherence." Remote Sensing 10, no. 12 (2018): 1873. http://dx.doi.org/10.3390/rs10121873.

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In this paper, we assess the flood mapping capabilities of the X-band Synthetic Aperture Radar (SAR) imagery acquired by the bistatic pair TanDEM-X/TerraSAR-X (TDX/TSX). The main objective is to investigate the added value of the bistatic TDX/TSX Interferometric Synthetic Aperture Radar (InSAR) coherence in addition to the SAR backscatter in the context of inundation mapping. As a classifier, we consider a Random Forest (RF) classification scheme using TDX/TSX SAR intensities and their bistatic InSAR coherence to extract the flood extent map. To evaluate the classification results and as no “g

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Ferretti, A., D. Colombo, A. Fumagalli, F. Novali, and A. Rucci. "InSAR data for monitoring land subsidence: time to think big." Proceedings of the International Association of Hydrological Sciences 372 (November 12, 2015): 331–34. http://dx.doi.org/10.5194/piahs-372-331-2015.

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Abstract. Satellite interferometric synthetic aperture radar (InSAR) data have proven effective and valuable in the analysis of urban subsidence phenomena based on multi-temporal radar images. Results obtained by processing data acquired by different radar sensors, have shown the potential of InSAR and highlighted the key points for an operational use of this technology, namely: (1) regular acquisition over large areas of interferometric data stacks; (2) use of advanced processing algorithms, capable of estimating and removing atmospheric disturbances; (3) access to significant processing powe

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Jaya, Laode M. Golok, Ketut Wikantika, Katmoko Ari Sambodo, and Armi Susandi. "Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest)." Forum Geografi 31, no. 1 (2017): 99–107. http://dx.doi.org/10.23917/forgeo.v31i1.2518.

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This paper was aimed to analyse the effect of temporal decorrelation in carbon stocks estimation. Estimation of carbon stocks plays important roles particularly to understand the global carbon cycle in the atmosphere regarding with climate change mitigation effort. PolInSAR technique combines the advantages of Polarimetric Synthetic Aperture Radar (PolSAR) and Interferometry Synthetic Aperture Radar (InSAR) technique, which is evidenced to have significant contribution in radar mapping technology in the last few years. In carbon stocks estimation, PolInSAR provides information about vertical v

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Sica, Francescopaolo, Davide Cozzolino, Luisa Verdoliva, and Giovanni Poggi. "The Offset-Compensated Nonlocal Filtering of Interferometric Phase." Remote Sensing 10, no. 9 (2018): 1359. http://dx.doi.org/10.3390/rs10091359.

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The nonlocal approach, proposed originally for additive white Gaussian noise image filtering, has rapidly gained popularity in many applicative fields and for a large variety of tasks. It has proven especially successful for the restoration of Synthetic Aperture Radar (SAR) images: single-look and multi-look amplitude images, multi-temporal stacks, polarimetric data. Recently, powerful nonlocal filters have been proposed also for Interferometric SAR (InSAR) data, with excellent results. Nonetheless, a severe decay of performance has been observed in regions characterized by a uniform phase gra

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Xie, Pengfei, Man Zhang, Lei Zhang, and Guanyong Wang. "Residual Motion Error Correction with Backprojection Multisquint Algorithm for Airborne Synthetic Aperture Radar Interferometry." Sensors 19, no. 10 (2019): 2342. http://dx.doi.org/10.3390/s19102342.

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For airborne interferometric synthetic aperture radar (InSAR) data processing, it is essential to achieve precise motion compensation to obtain high-quality digital elevation models (DEMs). In this paper, a novel InSAR motion compensation method is developed, which combines the backprojection (BP) focusing and the multisquint (MSQ) technique. The algorithm is two-fold. For SAR image focusing, BP algorithm is applied to fully use the navigation information. Additionally, an explicit mathematical expression of residual motion error (RME) in the BP image is derived, which paves a way to integrati

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Zhu, Wu, Hyung-Sup Jung, and Jing-Yuan Chen. "Synthetic Aperture Radar Interferometry (InSAR) Ionospheric Correction Based on Faraday Rotation: Two Case Studies." Applied Sciences 9, no. 18 (2019): 3871. http://dx.doi.org/10.3390/app9183871.

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Spaceborne synthetic aperture radar (SAR) imagery is affected by the ionosphere, resulting in distortions of the SAR intensity, phase, and polarization. Although several methods have been proposed to mitigate the ionospheric phase delay of SAR interferometry, the application of them with full-polarimetric SAR interferometry is limited. Based on this background, Faraday rotation (FR)-based methods are used in this study to mitigate the ionospheric phase errors on full-polarimetric SAR interferometry. For a performance test of the selected method, L-band Advanced Land Observation Satellite (ALOS

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Pichelli, E., R. Ferretti, D. Cimini, et al. "Water vapour distribution at urban scale using high-resolution numerical weather model and spaceborne SAR interferometric data." Natural Hazards and Earth System Sciences 10, no. 1 (2010): 121–32. http://dx.doi.org/10.5194/nhess-10-121-2010.

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Abstract. The local distribution of water vapour in the urban area of Rome has been studied using both a high resolution mesoscale model (MM5) and Earth Remote Sensing-1 (ERS-1) satellite radar data. Interferometric Synthetic Aperture Radar (InSAR) techniques, after the removal of all other geometric effects, estimate excess path length variation between two different SAR acquisitions (Atmospheric Phase Screen: APS). APS are strictly related to the variations of the water vapour content along the radar line of sight. To the aim of assessing the MM5 ability to reproduce the gross features of th

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Czikhardt, Richard, Hans van der Marel, and Juraj Papco. "GECORIS: An Open-Source Toolbox for Analyzing Time Series of Corner Reflectors in InSAR Geodesy." Remote Sensing 13, no. 5 (2021): 926. http://dx.doi.org/10.3390/rs13050926.

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Artificial radar reflectors, such as corner reflectors or transponders, are commonly used for radiometric and geometric Synthetic Aperture Radar (SAR) sensor calibration, SAR interferometry (InSAR) applications over areas with few natural coherent scatterers, and InSAR datum connection and geodetic integration. Despite the current abundance of regular SAR time series, no free and open-source software (FOSS) dedicated to analyzing SAR time series of artificial radar reflectors exists. In this paper, we present a FOSS Python toolbox for efficient and automatic estimation of: (i) the clutter leve

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Chen, Yaogang, Qian Sun, and Jun Hu. "Quantitatively Estimating of InSAR Decorrelation Based on Landsat-Derived NDVI." Remote Sensing 13, no. 13 (2021): 2440. http://dx.doi.org/10.3390/rs13132440.

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As a by-product of Interferometric Synthetic Aperture Radar (SAR, InSAR) technique, interferometric coherence is a measure of the decorrelation noise for InSAR observation, where the lower the coherence value, the more serious the decorrelation noise. In the densely vegetated area, the coherence value could be too low to obtain any valuable signals, leading to the degradation of InSAR performance and the possible waste of expensive SAR data. Normalized Difference Vegetation Index (NDVI) value is a measure of the vegetation coverage and can be estimated from the freely available optical satelli

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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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Bacques, Guillaume, Marcello de Michele, Daniel Raucoules, and Hideo Aochi. "The Locking Depth of the Cholame Section of the San Andreas Fault from ERS2-Envisat InSAR." Remote Sensing 10, no. 8 (2018): 1244. http://dx.doi.org/10.3390/rs10081244.

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The Cholame section of the San Andreas Fault (SAF), which has been considered locked since 1857, has been little studied using geodetic methods. In this study, we propose to use Interferometric Synthetic Aperture Radar (InSAR) to contribute to the improvement of the knowledge of this section of the SAF. In particular, the objective of this work is to provide a description of the transition between the Parkfield and Cholame-Carrizo segments further southeast by producing an estimate of the locking depth of the Cholame segment by combining ERS2 (European Remote Sensing) and Envisat Advanced SAR

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Duan, Wei, Hong Zhang, Chao Wang, and Yixian Tang. "Multi-Temporal InSAR Parallel Processing for Sentinel-1 Large-Scale Surface Deformation Mapping." Remote Sensing 12, no. 22 (2020): 3749. http://dx.doi.org/10.3390/rs12223749.

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Interferometric synthetic aperture radar (InSAR) has achieved great success in various geodetic applications, and its potential for ground deformation measurements on the large scale has attracted increasingly more attention in recent years. The increasing number of synthetic aperture radar (SAR) satellite systems have steadily provided a large amount of SAR data. Among these systems, the Sentinel-1 mission can be considered a milestone in the development of InSAR techniques, offering new opportunities to monitor global surface deformation with high precision, due to its wide coverage, short r

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Jamali, A., and A. Abdul Rahman. "FLOOD MAPPING USING SYNTHETIC APERTURE RADAR: A CASE STUDY OF RAMSAR FLASH FLOOD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 291–95. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-291-2019.

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Abstract. Disasters including flash floods, earthquakes, and landslides have huge economic and social losses besides their impact on environmental disruption. Studying environmental changes due to climate change can improve public and expert sector’s awareness and response towards future disastrous events. Synthetic Aperture Radar (SAR) data and Interferometric Synthetic Aperture Radar (InSAR) technologies are valuable tools for flood modeling and surface deformation modeling. This paper proposes an efficient approach to detect the flooded area changes using Sentinel-1A over Ramsar flood on 5t

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Strozzi, Tazio, Rafael Caduff, Nina Jones, et al. "Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar." Remote Sensing 12, no. 3 (2020): 559. http://dx.doi.org/10.3390/rs12030559.

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Active rock glaciers represent the best visual expression of mountain permafrost that can be mapped and monitored directly using remotely sensed data. Active rock glaciers are bodies that consist of a perennially frozen ice/rock mixture and express a distinct flow-like morphology indicating downslope permafrost creep movement. Annual rates of motion have ranged from a few millimeters to several meters per year, varying within the annual cycle, from year to year, as well as at the decennial time scale. During the last decade, in situ observations in the European Alps have shown that active rock

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Lazecký, Milan, Karsten Spaans, Pablo J. González, et al. "LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity." Remote Sensing 12, no. 15 (2020): 2430. http://dx.doi.org/10.3390/rs12152430.

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Space-borne Synthetic Aperture Radar (SAR) Interferometry (InSAR) is now a key geophysical tool for surface deformation studies. The European Commission’s Sentinel-1 Constellation began acquiring data systematically in late 2014. The data, which are free and open access, have global coverage at moderate resolution with a 6 or 12-day revisit, enabling researchers to investigate large-scale surface deformation systematically through time. However, full exploitation of the potential of Sentinel-1 requires specific processing approaches as well as the efficient use of modern computing and data sto

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Liu, Xiaojie, Chaoying Zhao, Qin Zhang, Jianbing Peng, Wu Zhu, and 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 (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 asce

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Zhang, P., and Z. Zhao. "EVALUATION OF DATA APPLICABILITY FOR D-INSAR IN AREAS COVERED BY ABUNDANT VEGETATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 2277–81. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2277-2018.

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In the past few years, the frequent geological disasters have caused enormous casualties and economic losses. Therefore, D-InSAR (differential interferometry synthetic aperture radar) has been widely used in early-warning and post disaster assessment. However, large area of decorrelation often occurs in the areas covered with abundant vegetation, which seriously affects the accuracy of surface deformation monitoring. In this paper, we analysed the effect of sensor parameters and external environment parameters on special decorrelation. Then Synthetic Aperture Radar (SAR) datasets acquired by X

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