Relevant bibliographies by topics / Satellite interferometry

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Satellite interferometry'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "Satellite interferometry"

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Yang, Yichao, Kohei Yamamoto, Miguel Dovale Álvarez, Daikang Wei, Juan José Esteban Delgado, Vitali Müller, Jianjun Jia, and Gerhard Heinzel. "On-Axis Optical Bench for Laser Ranging Instruments in Future Gravity Missions." Sensors 22, no. 5 (March 7, 2022): 2070. http://dx.doi.org/10.3390/s22052070.

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The laser ranging interferometer onboard the Gravity Recovery and Climate Experiment Follow-On mission proved the feasibility of an interferometric sensor for inter-satellite length tracking with sub-nanometer precision, establishing an important milestone for space laser interferometry and the general expectation that future gravity missions will employ heterodyne laser interferometry for satellite-to-satellite ranging. In this paper, we present the design of an on-axis optical bench for next-generation laser ranging which enhances the received optical power and the transmit beam divergence, enabling longer interferometer arms and relaxing the optical power requirement of the laser assembly. All design functionalities and requirements are verified by means of computer simulations. A thermal analysis is carried out to investigate the robustness of the proposed optical bench to the temperature fluctuations found in orbit.
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Noordam, J. E. "European Space Interferometry." Symposium - International Astronomical Union 166 (1995): 345. http://dx.doi.org/10.1017/s0074180900228349.

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Optical interferometry is ensconced as an ‘area of future interest’ (a socalled Green Dream) in Horizon 2000, the long-term scientific plan of ESA. Over the years, there have been three large ESA workshops on Space interferometry, where many different concepts and designs were proposed, and several ESA committees have studied the possibilities. These committees were also involved, in an advisory role, in a modest technological research program (TRP) by ESTEC. In 1990, the Space Interferometry Study Team (SIST) recommended building an optical interferometer, consisting of 10-15 small telescopes attached to an 100m inflatable structure, as a scientifically interesting first step. The SIST even produced a workable design. It quickly became clear, however, that such an undertaking would cost much more than an ESA cornerstone mission, and was thus far too ambitious. Simultaneously, another ESA study team (LIST) came to the conclusion that the Moon, contrary to earlier beliefs, does not offer a particularly suitable environment for interferometry. At the Beaulieu workshop in 1992, it was decided to try to achieve cornerstone status for one or two smaller interferometry missions in Space: a 10m UV imaging interferometer, or an interferometric successor to the astrometry satellite Hipparchos. The latter seems to have a good chance at the moment, in the form of the GAIA proposal which has been selected for further study for the new ‘post-Horizon 2000’ program. GAIA may have some limited imaging capability, but a true imaging interferometer in Space will have to wait for a few decades yet.
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Li, Genger. "InSAR terrain mapping error sources based on satellite interferometry." Open Physics 20, no. 1 (January 1, 2022): 668–79. http://dx.doi.org/10.1515/phys-2022-0064.

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Abstract To improve the accuracy of interferometric synthetic aperture radar (InSAR) topographic mapping, an error source analysis method of InSAR topographic mapping based on satellite interferometry is proposed. According to the basic principle of InSAR altimetry, the preconditions of SAR satellite interferometry are quantitatively analyzed, and the phase error experiment is carried out. The error sources of formation satellite InSAR system are studied. Finally, the error sources affecting the formation satellite InSAR system are systematically analyzed. The experimental results show that this method has good analytical performance, quantitatively evaluates the propagation law of each error, and provides a basic reference for practical application.
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Sun, Yu, Dong, and Luo. "ScanSAR Interferometry of the Gaofen-3 Satellite with Unsynchronized Repeat-Pass Images." Sensors 19, no. 21 (October 28, 2019): 4689. http://dx.doi.org/10.3390/s19214689.

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Gaofen-3 is a Chinese remote sensing satellite with multiple working modes, among which the scanning synthetic aperture radar (ScanSAR) mode is used for wide-swath imaging. synthetic aperture radar (SAR) interferometry in the ScanSAR mode provides the most rapid way to obtain a global digital elevation model (DEM), which can also be realized by Gaofen-3. Gaofen-3 ScanSAR interferometry works in the repeat-pass mode, and image pair non-synchronizations can influence its performance. Non-synchronizations can include differences of burst central times, satellite velocities, and burst durations. Therefore, it is necessary to analyze their influences and improve the interferometric coherence. Meanwhile, interferometric phase compensation and rapid DEM geolocation also need to be considered in interferometric processing. In this paper, interferometric coherence was analyzed in detail, followed by an iterative filtering method, which helped to improve the interferometric performance. Further, a phase compensation method for Gaofen-3 was proposed to compensate for the phase error caused by the unsynchronized azimuth time offset of image pair, and a closed-form solution of DEM geolocation with ground control point (GCP) information was derived. Application of our methods to a pair of Gaofen-3 interferometric images showed that these methods were able to process the images with good accuracy and efficiency. Notably, these analysis and processing methods can also be applied to other SAR satellites in the ScanSAR mode to obtain DEMs with high quality.
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Massonnet, Didier. "Satellite Radar Interferometry." Scientific American 276, no. 2 (February 1997): 46–53. http://dx.doi.org/10.1038/scientificamerican0297-46.

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Nicolás-Álvarez, Jorge, Xavier Carreño-Megias, Estel Ferrer, Miquel Albert-Galí, Judith Rodríguez-Tersa, Albert Aguasca, and Antoni Broquetas. "Interferometric Orbit Determination System for Geosynchronous SAR Missions: Experimental Proof of Concept." Remote Sensing 14, no. 19 (September 29, 2022): 4871. http://dx.doi.org/10.3390/rs14194871.

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Future Geosynchronous Synthetic Aperture Radar (GEOSAR) missions will provide permanent monitoring of continental areas of the planet with revisit times of less than 24 h. Several GEOSAR missions have been studied in the USA, Europe, and China with different applications, including water cycle monitoring and early warning of disasters. GEOSAR missions require unprecedented orbit determination precision in order to form focused Synthetic Aperture Radar (SAR) images from Geosynchronous Orbit (GEO). A precise orbit determination technique based on interferometry is proposed, including a proof of concept based on an experimental interferometer using three antennas separated 10–15 m. They provide continuous orbit observations of present communication satellites operating at GEO as illuminators of opportunity. The relative phases measured between the receivers are used to estimate the satellite position. The experimental results prove the interferometer is able to track GEOSAR satellites based on the transmitted signals. This communication demonstrates the consistency and feasibility of the technique in order to foster further research with longer interferometric baselines that provide observables delivering higher orbital precision.
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Imperatore, Pasquale, Antonio Pepe, and Eugenio Sansosti. "High Performance Computing in Satellite SAR Interferometry: A Critical Perspective." Remote Sensing 13, no. 23 (November 24, 2021): 4756. http://dx.doi.org/10.3390/rs13234756.

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Synthetic aperture radar (SAR) interferometry has rapidly evolved in the last decade and can be considered today as a mature technology, which incorporates computationally intensive and data-intensive tasks. In this paper, a perspective on the state-of-the-art of high performance computing (HPC) methodologies applied to spaceborne SAR interferometry (InSAR) is presented, and the different parallel algorithms for interferometric processing of SAR data are critically discussed at different levels. Emphasis is placed on the key processing steps, which typically occur in the interferometric techniques, categorized according to their computational relevance. Existing implementations of the different InSAR stages using diverse parallel strategies and architectures are examined and their performance discussed. Furthermore, some InSAR computational schemes selected in the literature are analyzed at the level of the entire processing chain, thus emphasizing their potentialities and limitations. Therefore, the survey focuses on the inherent computational approaches enabling large-scale interferometric SAR processing, thus offering insight into some open issues, and outlining future trends in the field.
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Murodov, Suhrob D., and Alexander Yu Chermoshentsev. "METHODOLOGY FOR MONITORING DISPLACEMENTS OF BUILDINGS AND STRUCTURES USING SPACE RADAR SURVEY." Interexpo GEO-Siberia 6, no. 2 (July 8, 2020): 36–40. http://dx.doi.org/10.33764/2618-981x-2020-6-2-36-40.

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The article is devoted to monitoring the deformation of structures using persistent scattereres interferometry according to the satellite Sentinel-1. The Persistant Scatterers Interferometry technique is described, which is used for processing interferometric pairs of images in SNAP and StaMPS software. As a result, differential interferograms characterizing the change in the height of individual points over a certain period of time are obtained.
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Darbeheshti, Neda, Henry Wegener, Vitali Müller, Majid Naeimi, Gerhard Heinzel, and Martin Hewitson. "Instrument data simulations for GRACE Follow-on: observation and noise models." Earth System Science Data 9, no. 2 (November 17, 2017): 833–48. http://dx.doi.org/10.5194/essd-9-833-2017.

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Abstract. The Gravity Recovery and Climate Experiment (GRACE) mission has yielded data on the Earth's gravity field to monitor temporal changes for more than 15 years. The GRACE twin satellites use microwave ranging with micrometre precision to measure the distance variations between two satellites caused by the Earth's global gravitational field. GRACE Follow-on (GRACE-FO) will be the first satellite mission to use inter-satellite laser interferometry in space. The laser ranging instrument (LRI) will provide two additional measurements compared to the GRACE mission: interferometric inter-satellite ranging with nanometre precision and inter-satellite pointing information. We have designed a set of simulated GRACE-FO data, which include LRI measurements, apart from all other GRACE instrument data needed for the Earth's gravity field recovery. The simulated data files are publicly available via https://doi.org/10.22027/AMDC2 and can be used to derive gravity field solutions like from GRACE data. This paper describes the scientific basis and technical approaches used to simulate the GRACE-FO instrument data.
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Crosetto, M., O. Monserrat, N. Devanthéry, M. Cuevas-González, A. Barra, and B. Crippa. "PERSISTENT SCATTERER INTERFEROMETRY USING SENTINEL-1 DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 22, 2016): 835–39. http://dx.doi.org/10.5194/isprs-archives-xli-b7-835-2016.

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This paper is focused on deformation monitoring using a Persistent Scatterer Interferometry technique and the interferometric SAR data acquired by the Sentinel-1 satellite of the European Space Agency. The first part of the paper describes the procedure used to process and analyze Sentinel-1 interferometric SAR data. Two main approaches are described. The first one is a simplified Persistent Scatterer Interferometry approach that exploits two key properties of the Sentinel-1 data: the high coherence of the 12-day interferograms and the reduced orbital tube. The second approach is a full Persistent Scatterer Interferometry approach, where a more sophisticate data treatment is employed. The second part of the paper illustrates the results obtained with the two processing approaches. Two case studies are described. The first one concerns landslide detection and monitoring. In this case, the simplified Persistent Scatterer Interferometry approach was used. The second one regards the deformation monitoring of an urban area. In this case, a full Persistent Scatterer Interferometry approach was used.
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Dissertations / Theses on the topic "Satellite interferometry"

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Navarro, Sánchez Víctor Diego. "Satellite Polarimetric Differential SAR Interferometry." Doctoral thesis, Universidad de Alicante, 2014. http://hdl.handle.net/10045/39875.

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Gerberding, Oliver [Verfasser]. "Phase readout for satellite interferometry / Oliver Gerberding." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2014. http://d-nb.info/1053543093/34.

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Roberts, Jennifer A. "Satellite formation flying for an interferometry mission." Thesis, Cranfield University, 2005. http://hdl.handle.net/1826/1114.

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The autonomous formation flying of multiple spacecraft to replace a single large satellite will be an enabling technology for many future missions. In this research, the current status of formation flying missions and technologies is determined, and the Darwin nulling interferometry mission, which aims to detect and characterise extrasolar planets, is selected as the research focus. Darwin requires high precision formation flying of multiple telescopes near the Sun-Earth L2 point. A comprehensive account of current research in astrobiology is presented which provides the motivation for a Darwin-type mission. Astrobiology is integral to the definition of formation manoeuvres and target identification. The system design issues associated with developing a higher resolution, Planet Imager mission are also explored through a preliminary mission design. Relative dynamics models for satellite formation flying control in Low Earth Orbit (LEO) and L2 are developed and methods of incorporating the Earth oblateness perturbation (J2) into the equations of relative motion to improve model fidelity are investigated. The linearised J2 effect is included in the Hill equations in time averaged and time varying form. The models are verified against the Satellite Tool Kit (STK) numerical orbit propagator, and applied to optimal control system design and evaluation for formation keeping tasks. The ‘reference orbit’ modelling approach applied in LEO is applied to the development of a new formation flying model at L2. In this case, linearised equations of motion of the mirror satellites relative to the hub are derived and performance evaluated for different initial conditions. These and other higher order models are compared to STK. The linearised model is applied to controller design for station keeping and formation manoeuvring tasks suitable for a Darwin-type mission, and the role of the model in developing controllers for a load levelling guidance system is explored.
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Capes, Renalt Edward. "The development of satellite radar interferometry for geohazard application." Thesis, University of Portsmouth, 2017. https://researchportal.port.ac.uk/portal/en/theses/the-development-of-satellite-radar-interferometry-for-geohazard-application(304e4685-39e5-4d0f-bfca-c37b2194ebaf).html.

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This thesis for a PhD by Publication attempts to demonstrate the author’s contribution towards the development of terrestrial satellite radar interferometry (InSAR) for geohazard applications between 1995 and 2016. The author’s role is shown by reference to six peer-reviewed articles, and five ‘documents of influence’ that demonstrate key pieces of work that helped progress the application of InSAR technology. The work included ranged from the first InSAR-related contract to be funded by ESA, through the introduction of InSAR into the CEO’s Disaster Management Support project that influenced both the Space Charter for Major Disasters and the Global Monitoring for Environment and Security programme, to the widespread exploitation and standardisation of InSAR seen in the Terrafirma and FP7 PanGeo projects. The author’s contributions have resulted in a wider-spread InSAR awareness and expertise, direct support to the European Space Agency’s flagship application of the time, the inclusion of InSAR within Copernicus services, and support to the mission-design of Sentinel-1a/b.
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Baran, Ireneusz. "Advanced satellite radar interferometry for small-scale surface deformation detection." Thesis, Curtin University, 2004. http://hdl.handle.net/20.500.11937/930.

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Synthetic aperture radar interferometry (InSAR) is a technique that enables generation of Digital Elevation Models (DEMs) and detection of surface motion at the centimetre level using radar signals transmitted from a satellite or an aeroplane. Deformation observations can be performed due to the fact that surface motion, caused by natural and human activities, generates a local phase shift in the resultant interferogram. The magnitude of surface deformation can be estimated directly as a fraction of the wavelength of the transmitted signal. Moreover, differential InSAR (DInSAR) eliminates the phase signal caused by relief to yield a differential interferogram in which the signature of surface deformation can be seen. Although InSAR applications are well established, the improvement of the interferometry technique and the quality of its products is highly desirable to further enhance its capabilities. The application of InSAR encounters problems due to noise in the interferometric phase measurement, caused by a number of decorrelation factors. In addition, the interferogram contains biases owing to satellite orbit errors and atmospheric heterogeneity These factors dramatically reduce the stlectiveness of radar interferometry in many applications, and, in particular, compromise detection and analysis of small-scale spatial deformations. The research presented in this thesis aim to apply radar interferometry processing to detect small-scale surface deformations, improve the quality of the interferometry products, determine the minimum and maximum detectable deformation gradient and enhance the analysis of the interferometric phase image. The quality of DEM and displacement maps can be improved by various methods at different processing levels. One of the methods is filtering of the interferometric phase.However, while filtering reduces noise in the interferogram, it does not necessarily enhance or recover the signal. Furthermore, the impact of the filter can significantly change the structure of the interferogram. A new adaptive radar interferogram filter has been developed and is presented herein. The filter is based on a modification to the Goldstein radar interferogram filter making the filter parameter dependent on coherence so that incoherent areas are filtered more than coherent areas. This modification minimises the loss of signal while still reducing the level of noise. A methodology leading to the creation of a functional model for determining minimum and maximum detectable deformation gradient, in terms of the coherence value, has been developed. The sets of representative deformation models have been simulated and the associated phase from these models has been introduced to real SAR data acquired by ERS-1/2 satellites. A number of cases of surface motion with varying magnitudes and spatial extent have been simulated. In each case, the resultant surface deformation has been compared with the 'true' surface deformation as defined by the deformation model. Based on those observations, the functional model has been developed. Finally, the extended analysis of the interferometric phase image using a wavelet approach is presented. The ability of a continuous wavelet transform to reveal the content of the wrapped phase interferogram, such as (i) discontinuities, (ii) extent of the deformation signal, and (iii) the magnitude of the deformation signal is examined. The results presented represent a preliminary study revealing the wavelet method as a promising technique for interferometric phase image analysis.
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Baran, Ireneusz. "Advanced satellite radar interferometry for small-scale surface derformation detection /." Full text available, 2004. http://adt.curtin.edu.au/theses/available/adt-WCU20050203.120213.

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Baran, Ireneusz. "Advanced satellite radar interferometry for small-scale surface deformation detection." Curtin University of Technology, Department of Spatial Sciences, 2004. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=15717.

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Synthetic aperture radar interferometry (InSAR) is a technique that enables generation of Digital Elevation Models (DEMs) and detection of surface motion at the centimetre level using radar signals transmitted from a satellite or an aeroplane. Deformation observations can be performed due to the fact that surface motion, caused by natural and human activities, generates a local phase shift in the resultant interferogram. The magnitude of surface deformation can be estimated directly as a fraction of the wavelength of the transmitted signal. Moreover, differential InSAR (DInSAR) eliminates the phase signal caused by relief to yield a differential interferogram in which the signature of surface deformation can be seen. Although InSAR applications are well established, the improvement of the interferometry technique and the quality of its products is highly desirable to further enhance its capabilities. The application of InSAR encounters problems due to noise in the interferometric phase measurement, caused by a number of decorrelation factors. In addition, the interferogram contains biases owing to satellite orbit errors and atmospheric heterogeneity These factors dramatically reduce the stlectiveness of radar interferometry in many applications, and, in particular, compromise detection and analysis of small-scale spatial deformations. The research presented in this thesis aim to apply radar interferometry processing to detect small-scale surface deformations, improve the quality of the interferometry products, determine the minimum and maximum detectable deformation gradient and enhance the analysis of the interferometric phase image. The quality of DEM and displacement maps can be improved by various methods at different processing levels. One of the methods is filtering of the interferometric phase.
However, while filtering reduces noise in the interferogram, it does not necessarily enhance or recover the signal. Furthermore, the impact of the filter can significantly change the structure of the interferogram. A new adaptive radar interferogram filter has been developed and is presented herein. The filter is based on a modification to the Goldstein radar interferogram filter making the filter parameter dependent on coherence so that incoherent areas are filtered more than coherent areas. This modification minimises the loss of signal while still reducing the level of noise. A methodology leading to the creation of a functional model for determining minimum and maximum detectable deformation gradient, in terms of the coherence value, has been developed. The sets of representative deformation models have been simulated and the associated phase from these models has been introduced to real SAR data acquired by ERS-1/2 satellites. A number of cases of surface motion with varying magnitudes and spatial extent have been simulated. In each case, the resultant surface deformation has been compared with the 'true' surface deformation as defined by the deformation model. Based on those observations, the functional model has been developed. Finally, the extended analysis of the interferometric phase image using a wavelet approach is presented. The ability of a continuous wavelet transform to reveal the content of the wrapped phase interferogram, such as (i) discontinuities, (ii) extent of the deformation signal, and (iii) the magnitude of the deformation signal is examined. The results presented represent a preliminary study revealing the wavelet method as a promising technique for interferometric phase image analysis.
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Isleif, Katharina-Sophie [Verfasser]. "Laser interferometry for LISA and satellite geodesy missions / Katharina-Sophie Isleif." Hannover : Gottfried Wilhelm Leibniz Universität, 2018. http://d-nb.info/1165251221/34.

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Hogg, Anna Elizabeth. "Locating ice sheet grounding lines using satellite radar interferometry and altimetry." Thesis, University of Leeds, 2015. http://etheses.whiterose.ac.uk/11356/.

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In this thesis, I use synthetic aperture radar (SAR) and radar altimeter data to make new observations of Antarctic and Greenland ice sheet grounding lines. I use ERS SAR data acquired between 1992 and 2011 to map the Petermann Glacier grounding line on 17 occasions using quadruple difference interferometric SAR (QDInSAR). Over the 19-year period, the grounding line position varied by 0.5 km, on average, with no significant trend over time. Although tidal forcing explains a fraction (34 %) of the movement, localised variations in the glacier thickness could explain it all were they to alter the glaciers hydrostatic balance as they advect downstream – a hitherto unconsidered possibility that would reduce the accuracy with which changes in grounding line position can be detected. Next, I developed a new technique for detecting grounding lines using differential range direction offset tracking (DRDOT) in incoherent SAR data. I then applied this technique to a sequence of 11 TerraSAR-X images acquired in 2009 over Petermann Glacier. The DRDOT technique is able to reproduce the shape and location of the grounding line with an estimated lateral precision of 0.8 km and, although this is 30 times poorer than QDInSAR, provides a complementary method given the paucity of coherent SAR data. Finally, I developed another new method for detecting the grounding line as the break in ice sheet surface slope computed from CryoSat-2 elevation measurements. I then applied this technique to map grounding lines in the sectors of Antarctica buttressed by the Filchner-Ronne, Ekström, Larsen-C, and Amundsen Sea ice shelves. The technique is able to map the grounding line to within 4.5 km, on average, and, although this is far poorer than either QDInSAR or DRDOT, it is computationally efficient and can succeed where SAR-based methods fail, offering an additional complementary approach.
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Schuster, Sönke [Verfasser]. "Tilt-to-length coupling and diffraction aspects in satellite interferometry / Sönke Schuster." Hannover : Technische Informationsbibliothek (TIB), 2017. http://d-nb.info/1136336974/34.

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Books on the topic "Satellite interferometry"

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(Gini) Ketelaar, V. B. H. Satellite Radar Interferometry. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9428-6.

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Kawase, Seiichirō. Radio interferometry and satellite tracking. Norwood, MA: Artech House, 2012.

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

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United States. National Aeronautics and Space Administration., ed. Performance analysis of an integrated GPS/inertial attitude determination system. Cambridge, MA: Charles Stark Draper Laboratory, 1994.

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United States. National Aeronautics and Space Administration., ed. Performance analysis of an integrated GPS/inertial attitude determination system. Cambridge, MA: Charles Stark Draper Laboratory, 1994.

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

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COSPAR. Scientific Commission E. E1.3 Symposium. VSOP results and the future of space VLBI: Proceedings of the E1.3 symposium of COSPAR Scientific Commission E which was held during the thirty-second COSPAR scientific assembly, Nagoya, Japan, 12-19 July, 1998. Oxford: Published for the Committee on Space Research [by] Pergamon, 2000.

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Astronomical Society of the Pacific, ed. Approaching micro-arcsecond resolution with VSOP-2: Astrophysics and technology : proceedings of a workshop held at Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, Sagamihara, Kanagawa, Japan, 03-07 December 2007. San Francisco, Calif: Astronomical Society of the Pacific, 2009.

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United States. National Aeronautics and Space Administration., ed. Performance analysis of a GPS interferometric attitude determination system for a gravity gradient stabilized spacecraft. Cambridge, Mass: Charles Stark Draper Laboratory, 1995.

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United States. National Aeronautics and Space Administration., ed. Performance analysis of a GPS interferometric attitude determination system for a gravity gradient stabilized spacecraft. Cambridge, Mass: Charles Stark Draper Laboratory, 1995.

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Book chapters on the topic "Satellite interferometry"

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Batsukh, Khulan. "Cold Atom Interferometry in Satellite Geodesy for Sustainable Environmental Management." In Civil and Environmental Engineering for the Sustainable Development Goals, 43–54. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99593-5_4.

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AbstractOur Earth is a complex system. By monitoring the integrated geodetic-geodynamic processes, we can understand its sub-systems and geographical distribution of its resources. With the development of space techniques and artificial satellites, satellite geodesy era started, e.g., it became possible to observe a wide range of processes, occurring both on and below the Earth's surface. Such observations can be exploited not only in environmental activities, but also in societal activities like natural disasters monitoring. Thus, satellite geodesy can bring great benefits to “Climate action”, one of the 17 sustainable development goals of the United Nation: we can estimate the ice-sheet mass balance and study the impact of climate change by monitoring sea levels. This paper aims to investigate the possible implementation of cold atom sensors for future satellite gravity missions, which would improve our current knowledge of the Earth’s gravity field and contribute into the sustainable environmental management. Graphical Abstract
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Raspini, Federico, Emanuele Intrieri, Davide Festa, and Nicola Casagli. "Landslide Mapping and Monitoring with Satellite Interferometry." In Understanding and Reducing Landslide Disaster Risk, 149–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60311-3_16.

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Huntley, David, Drew Rotheram-Clarke, Roger MacLeod, Robert Cocking, Philip LeSueur, Bill Lakeland, and Alec Wilson. "Scalable Platform for UAV Flight Operations, Data Capture, Cloud Processing and Image Rendering of Landslide Hazards and Surface Change Detection for Disaster-Risk Reduction." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, 49–61. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_4.

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AbstractThis International Programme on Landslide (IPL) Project 202 paper presents a scalable remote piloted aircraft system (RPAS) platform that streamlines unoccupied aerial vehicle (UAV) flight operations for data capture, cloud processing and image rendering to inventory and monitor slow-moving landslides along the national railway transportation corridor in southwestern British Columbia, Canada. Merging UAV photogrammetry, ground-based real-time kinematic global navigation satellite system (RTK-GNSS) measurements, and satellite synthetic aperture radar interferometry (InSAR) datasets best characterizes the distribution, morphology and activity of landslides over time. Our study shows that epochal UAV photogrammetry, benchmarked with periodic ground-based RTK-GNSS measurements and satellite InSAR platforms with repeat visit times of weeks (e.g., RADARSAT-2 and SENTINEL-1) to days (e.g. RADARSAT Constellation Mission) provides rapid landslide monitoring capability with cm-scale precision and accuracy.
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Infante, Donato, Diego Di Martire, Domenico Calcaterra, and Massimo Ramondini. "The Contribution of Satellite Radar Interferometry for Land Management Activities." In Critical Thinking in the Sustainable Rehabilitation and Risk Management of the Built Environment, 156–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61118-7_14.

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Soni, Chetna, Arpana Chaudhary, Uma Sharma, and Chilka Sharma. "Satellite Radar Interferometry for DEM Generation Using Sentinel-1A Imagery." In Advances in Intelligent Systems and Computing, 26–33. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6067-5_4.

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Greif, Vladimir, Jaroslav Busa, and Martin Mala. "Landslide Activity Classification Based on Sentinel-1 Satellite Radar Interferometry Data." In Understanding and Reducing Landslide Disaster Risk, 111–18. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60227-7_11.

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Strozzi, Tazio, Hugo Raetzo, Urs Wegmüller, Jessica Papke, Rafael Caduff, Charles Werner, and Andreas Wiesmann. "Satellite and Terrestrial Radar Interferometry for the Measurement of Slope Deformation." In Engineering Geology for Society and Territory - Volume 5, 161–65. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09048-1_32.

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Raspini, Federico, Silvia Bianchini, Davide Festa, Matteo Del Soldato, Pierluigi Confuorto, Pablo Ezquerro, and Nicola Casagli. "The Potential of Satellite Interferometry for Geohazard Assessment in Cultural Heritage Sites." In Springer Geology, 587–95. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-13810-2_30.

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Maccone, C. "Advances in Satellite Data Compression & Noise Filtering by Virtue of Parallel Computing." In Infrared Space Interferometry: Astrophysics & the Study of Earth-Like Planets, 213–17. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5468-0_29.

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Bianchini, Silvia, and Davide Festa. "Satellite Radar Interferometry for Monitoring Historic Urban Fabric: Lucca and Florence Test Cities." In Advanced Structured Materials, 31–45. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15676-2_3.

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Conference papers on the topic "Satellite interferometry"

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Moreira, Joao R., Marcus Schwaebisch, Gianfranco Fornaro, Riccardo Lanari, Richard Bamler, Dieter Just, U. Steinbrecher, et al. "First results of X-SAR interferometry." In Satellite Remote Sensing II, edited by Giorgio Franceschetti, Christopher J. Oliver, James C. Shiue, and Shahram Tajbakhsh. SPIE, 1995. http://dx.doi.org/10.1117/12.227145.

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Shubert, Paul D. "Satellite imaging with speckle interferometry." In San Diego '90, 8-13 July, edited by Arthur F. Gmitro, Paul S. Idell, and Ivan J. LaHaie. SPIE, 1990. http://dx.doi.org/10.1117/12.23687.

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Bombaci, Ornella, and Andrea Torre. "Alenia Spazio research activities on SAR interferometry." In Satellite Remote Sensing II, edited by Giorgio Franceschetti, Christopher J. Oliver, James C. Shiue, and Shahram Tajbakhsh. SPIE, 1995. http://dx.doi.org/10.1117/12.227147.

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Lombardo, Pierfrancesco, and Fabrizio Lombardini. "Optimum dual-baseline SAR cross-track interferometry." In Satellite Remote Sensing III, edited by Giorgio Franceschetti, Christopher J. Oliver, Franco S. Rubertone, and Shahram Tajbakhsh. SPIE, 1996. http://dx.doi.org/10.1117/12.262706.

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Massonnet, Didier. "Latest results obtained in deformation mapping using SAR interferometry." In Satellite Remote Sensing, edited by Eugenio Zilioli. SPIE, 1994. http://dx.doi.org/10.1117/12.197290.

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Mantovani, P. L., G. Simonetti, and A. Franchetti-Rosada. "Digital signal processing algorithms for infrared space interferometry." In Satellite Remote Sensing II, edited by Joan B. Lurie, James J. Pearson, and Eugenio Zilioli. SPIE, 1995. http://dx.doi.org/10.1117/12.226816.

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Tarayre, H., Didier Massonnet, and J. A. Sirat. "Noise-robust phase-unwrapping method in radar interferometry." In Satellite Remote Sensing II, edited by Giorgio Franceschetti, Christopher J. Oliver, James C. Shiue, and Shahram Tajbakhsh. SPIE, 1995. http://dx.doi.org/10.1117/12.227140.

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Mikheeva, E., S. Repin, and V. N. Lukash. "Simulations of black hole observations with space-ground interferometers." In ASTRONOMY AT THE EPOCH OF MULTIMESSENGER STUDIES. Proceedings of the VAK-2021 conference, Aug 23–28, 2021. Crossref, 2022. http://dx.doi.org/10.51194/vak2021.2022.1.1.112.

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We consider the black hole (BH) shadow images which can be restored by data processing and image recovery proceduresin future Space VLBI (Very Large Baseline Interferometry) missions. For sources SgrA ∗ , M87 ∗ and M31 ∗ we consider threekinds of observation: the ground-based interferometer, space-ground interferometer with a satellite at low geocentric orbit,and space-ground interferometer with a satellite located in Lagrange point L 2 . We report that the second case is the mostpreferable for the BH shadow observations among considered ones. The demo images for all the cases are presented.
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Nikolov, Hristo, Valentina Protopopova, and Mila Atanasova. "Studying seismic events via satellite interferometry." In Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), edited by Kyriacos Themistocleous, Silas Michaelides, Vincent Ambrosia, Diofantos G. Hadjimitsis, and Giorgos Papadavid. SPIE, 2020. http://dx.doi.org/10.1117/12.2570676.

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

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Reports on the topic "Satellite interferometry"

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Gray, A. L., and K. E. Mattar. Influence of Ionospheric Electron Density Fluctuations on Satellite Radar Interferometry. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219669.

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Dudley, J. P., and S. V. Samsonov. SAR interferometry with the RADARSAT Constellation Mission. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329396.

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The RADARSAT Constellation Mission (RCM) is Canada's latest system of C-band Synthetic Aperture Radar (SAR) Earth observation satellites. The system of three satellites, spaced equally in a common orbit, allows for a rapid four-day repeat interval. The RCM has been designed with a selection of stripmap, spotlight, and ScanSAR beam modes which offer varied combinations of spatial resolution and coverage. Using Differential Interferometric Synthetic Aperture Radar (DInSAR) techniques, the growing archive of SAR data gathered by RCM can be used for change detection and ground deformation monitoring for diverse applications in Canada and around the world. In partnership with the Canadian Space Agency (CSA), the Canada Centre for Mapping and Earth Observation (CCMEO) has developed an automated system for generating standard and advanced deformation products and change detection from SAR data acquired by RCM and RADARSAT-2 satellites using DInSAR processing methodology. Using this system, this paper investigates four key interferometric properties of the RCM system which were not available on the RADARSAT-1 or RADARSAT-2 missions: The impact of the high temporal resolution of the four-day repeat cycle of the RCM on temporal decorrelation trends is tested and fitted against simple temporal decay models. The effect of the normalization and the precision of the radiometric calibration on interferometric spatial coherence is investigated. The performance of the RCM ScanSAR mode for wide area interferometric analysis is tested. The performance of the novel RCM Compact-polarization (CP) mode for interferometric analysis is also investigated.
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Hindsley, Robert B., J. T. Armstrong, Henrique R. Schmitt, Jonathan R. Andrews, Sergio R. Restaino, Christopher C. Wilcox, Frederick J. Vrba, James A. Benson, Michael E. DiVittorio, and Donald J. Hutter. Navy Prototype Optical Interferometer Observations of Geosynchronous Satellites. Fort Belvoir, VA: Defense Technical Information Center, January 2011. http://dx.doi.org/10.21236/ada543635.

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Dudley, J. P., and S. V. Samsonov. Système de traitement automatisé du gouvernement canadien pour la détection des variations et l'analyse des déformations du sol à partir des données de radar à synthèse d'ouverture de RADARSAT-2 et de la mission de la Constellation RADARSAT : description et guide de l'utilisateur. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329134.

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Remote sensing using Synthetic Aperture Radar (SAR) offers powerful methods for monitoring ground deformation from both natural and anthropogenic sources. Advanced analysis techniques such as Differential Interferometric Synthetic Aperture Radar (DInSAR), change detection, and Speckle Offset Tracking (SPO) provide sensitive measures of ground movement. With both the RADARSAT-2 and RADARSAT Constellation Mission (RCM) SAR satellites, Canada has access to a significant catalogue of SAR data. To make use of this data, the Canada Centre for Mapping and Earth Observation (CCMEO) has developed an automated system for generating standard and advanced deformation products from SAR data using both DInSAR and SPO methods. This document provides a user guide for this automated processing system.
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