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Relevant bibliographies by topics / Interferometric synthetic aperture radar (SAR) (InSAR)

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Journal articles

Academic literature on the topic 'Interferometric synthetic aperture radar (SAR) (InSAR)'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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

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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2

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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3

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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7

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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9

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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