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Journal articles on the topic 'Ground-based SAR sensers'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Darvishi, Mehdi, Romy Schlögel, Christian Kofler, et al. "Sentinel-1 and Ground-Based Sensors for Continuous Monitoring of the Corvara Landslide (South Tyrol, Italy)." Remote Sensing 10, no. 11 (2018): 1781. http://dx.doi.org/10.3390/rs10111781.

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The Copernicus Sentinel-1 mission provides synthetic aperture radar (SAR) acquisitions over large areas with high temporal and spatial resolution. This new generation of satellites providing open-data products has enhanced the capabilities for continuously studying Earth surface changes. Over the past two decades, several studies have demonstrated the potential of differential synthetic aperture radar interferometry (DInSAR) for detecting and quantifying land surface deformation. DInSAR limitations and challenges are linked to the SAR properties and the field conditions (especially in mountain

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

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

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Liu, Xianglei, Shan Su, Jing Ma, and Wanxin Yang. "Deformation Activity Analysis of a Ground Fissure Based on Instantaneous Total Energy." Sensors 19, no. 11 (2019): 2607. http://dx.doi.org/10.3390/s19112607.

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This study proposes a novel instantaneous total energy method to perform an activity analysis of ground fissures deformation, which is calculated by integrating the extreme-point symmetric mode decomposition (ESMD) method and kinetic energy based on the time-series displacement acquired by shape acceleration array (SAA) sensors. The proposed method is tested on the Xiwang Road fissure in Beijing, China. First, to fully monitor the hanging wall and footwall of the monitored ground fissure, a 4 m-long SAA in the vertical direction and an 8 m-long SAA in the horizontal direction were embedded in

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Molijn, Ramses, Lorenzo Iannini, Jansle Vieira Rocha, and Ramon Hanssen. "Sugarcane Productivity Mapping through C-Band and L-Band SAR and Optical Satellite Imagery." Remote Sensing 11, no. 9 (2019): 1109. http://dx.doi.org/10.3390/rs11091109.

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Space-based remote sensing imagery can provide a valuable and cost-effective set of observations for mapping crop-productivity differences. The effectiveness of such signals is dependent on several conditions that are related to crop and sensor characteristics. In this paper, we present the dynamic behavior of signals from five Synthetic Aperture Radar (SAR) sensors and optical sensors with growing sugarcane, focusing on saturation effects and the influence of precipitation events. In addition, we analyzed the level of agreement within and between these spaceborne datasets over space and time.

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Paek, Sung Wook, Sivagaminathan Balasubramanian, Sangtae Kim, and Olivier de Weck. "Small-Satellite Synthetic Aperture Radar for Continuous Global Biospheric Monitoring: A Review." Remote Sensing 12, no. 16 (2020): 2546. http://dx.doi.org/10.3390/rs12162546.

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Space-based radar sensors have transformed Earth observation since their first use by Seasat in 1978. Radar instruments are less affected by daylight or weather conditions than optical counterparts, suitable for continually monitoring the global biosphere. The current trends in synthetic aperture radar (SAR) platform design are distinct from traditional approaches in that miniaturized satellites carrying SAR are launched in multiples to form a SAR constellation. A systems engineering perspective is presented in this paper to track the transitioning of space-based SAR platforms from large satel

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Bonì, Roberta, Claudia Meisina, Linda Poggio, et al. "Ground motion areas detection (GMA-D): an innovative approach to identify ground deformation areas using the SAR-based displacement time series." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 277–84. http://dx.doi.org/10.5194/piahs-382-277-2020.

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Abstract. In this work, an innovative methodology to generate the automatic ground motion areas mapping is presented. The methodology is based on the analysis of the Synthetic Aperture Radar (SAR)-based displacement time series. The procedure includes two modules developed using the ModelBuilder tool (ArcGis). These modules allow to identify the ground motion areas (GMA) using only one dataset and the persistent GMA (PGMA) considering the different monitored periods and datasets. These areas represent clusters of targets characterized by the same displacement time series trend. The procedure w

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Nico, Giovanni, Sérgio Oliveira, Joao Catalão, and José Zêzere. "Generation of Persistent Scatterers in Non-Urban Areas: The Role of Microwave Scattering Parameters." Geosciences 8, no. 7 (2018): 269. http://dx.doi.org/10.3390/geosciences8070269.

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In this work, we study the capability of the ground surface to generate Persistent Scatterers (PS) based on the lithology, slope and aspect angles. These properties affect the scattering behavior of the Synthetic Aperture Radar (SAR) signal, the interferometric phase stability and, as a consequence, the PS generation. Two-time series of interferometric SAR data acquired by two different SAR sensors in the C-band are processed to generate independent PS datasets. The region north of Lisbon, Portugal, characterized by sparse vegetation and lithology diversity, is chosen as study area. The PS fre

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Qu, T., Z. Su, H. Yang, X. Shi, and W. Shao. "LARGE-SCALE SUBSIDENCE GEOHAZARD MONITORING WITH SENTINEL-1 SAR INTERFEROMETRY IN CENTRAL LISHUI (CHINA)." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 29, 2021): 873–78. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-873-2021.

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Abstract. Ground subsidence has become a serious problem along with the rapid urban expansions. Compared with traditional point-based ground survey techniques (GPS, levelling measurement and in-situ sensors), SAR Interferometry are quite appreciated for large-scale subsidence monitoring with long term and high accuracy. In this study, we focused on large-scale subsidence geohazard monitoring of central Lishui (China) and extracted subsidence velocity map of Liandu District. 57 Sentinle-1 SAR images from April 2019 to September 2020 are analysed with SBAS-InSAR technique. The overall subsidence

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Svedin, Jan, Anders Bernland, Andreas Gustafsson, Eric Claar, and John Luong. "Small UAV-based SAR system using low-cost radar, position, and attitude sensors with onboard imaging capability." International Journal of Microwave and Wireless Technologies 13, no. 6 (2021): 602–13. http://dx.doi.org/10.1017/s1759078721000416.

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AbstractThis paper describes a small unmanned aerial vehicle (UAV)-based synthetic aperture radar (SAR) system using low-cost radar (5–6 GHz), position (GNSS/RTK) and attitude (IMU) sensors for the generation of high-resolution images. Measurements using straight as well as highly curved flight trajectories and varying flight speeds are presented, showing range and cross-range lobe-widths close to the theoretical limits. An analysis of the improvements obtained by the use of attitude angles (roll, pitch, and yaw), to correct for the relative offsets in antenna positions as the UAV moves, is in

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Yang, C. H., Y. Pang, and U. Soergel. "Monitoring of Building Construction by 4D Change Detection Using Multi-temporal SAR Images." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-1/W1 (May 30, 2017): 35–42. http://dx.doi.org/10.5194/isprs-annals-iv-1-w1-35-2017.

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Monitoring urban changes is important for city management, urban planning, updating of cadastral map, etc. In contrast to conventional field surveys, which are usually expensive and slow, remote sensing techniques are fast and cost-effective alternatives. Spaceborne synthetic aperture radar (SAR) sensors provide radar images captured rapidly over vast areas at fine spatiotemporal resolution. In addition, the active microwave sensors are capable of day-and-night vision and independent of weather conditions. These advantages make multi-temporal SAR images suitable for scene monitoring. Persisten

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Siemiatkowska, Barbara, and Wojciech Stecz. "A Framework for Planning and Execution of Drone Swarm Missions in a Hostile Environment." Sensors 21, no. 12 (2021): 4150. http://dx.doi.org/10.3390/s21124150.

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This article presents a framework for planning a drone swarm mission in a hostile environment. Elements of the planning framework are discussed in detail, including methods of planning routes for drone swarms using mixed integer linear programming (MILP) and methods of detecting potentially dangerous objects using EO/IR camera images and synthetic aperture radar (SAR). Methods of detecting objects in the field are used in the mission planning process to re-plan the swarm’s flight paths. The route planning model is discussed using the example of drone formations managed by one UAV that communic

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Yang, Chia-Hsiang, and Andreas Müterthies. "Introduction of Integrated Mining Impact Monitoring – i<sup>2</sup>Mon Development Project." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 225–29. http://dx.doi.org/10.5194/piahs-382-225-2020.

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Abstract. Monitoring of mining areas and associanted dam stability, has become increasingly important as the awareness of safety and environmental protection is rising. An appropriate monitoring scheme is necessitated to legally activate, reactivate, or terminate mining operations. The project Integrated Mining Impact Monitoring (i2Mon) aims to identify and analyze mining-induced impact, in particular its ground deformation. The monitoring system comprises terrestrial measurement and remote sensing: levelling, GPS, LiDAR scanning, UAV survey, and SAR interferometry. For interpretation and pred

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Romeo, Saverio, Antonio Cosentino, Francesco Giani, Giandomenico Mastrantoni, and Paolo Mazzanti. "Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory." Sensors 21, no. 8 (2021): 2632. http://dx.doi.org/10.3390/s21082632.

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Nowadays the use of remote monitoring sensors is a standard practice in landslide characterization and monitoring. In the last decades, technologies such as LiDAR, terrestrial and satellite SAR interferometry (InSAR) and photogrammetry demonstrated a great potential for rock slope assessment while limited studies and applications are still available for ArcSAR Interferometry, Gigapixel imaging and Acoustic sensing. Taking advantage of the facilities located at the Poggio Baldi Landslide Natural Laboratory, an intensive monitoring campaign was carried out on May 2019 using simultaneously the HY

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Xiang, Y., W. Kang, F. Wang, and H. You. "AUTOMATIC COREGISTRATION FOR MULTIVIEW SAR IMAGES IN URBAN AREAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 651–54. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-651-2017.

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Due to the high resolution property and the side-looking mechanism of SAR sensors, complex buildings structures make the registration of SAR images in urban areas becomes very hard. In order to solve the problem, an automatic and robust coregistration approach for multiview high resolution SAR images is proposed in the paper, which consists of three main modules. First, both the reference image and the sensed image are segmented into two parts, urban areas and nonurban areas. Urban areas caused by double or multiple scattering in a SAR image have a tendency to show higher local mean and local

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Mohanty, S., C. Carrano, and G. Singh. "MONITORING OF IONOSPHERIC SCINTILLATION PHENOMENA USING SYNTHETIC APERTURE RADAR (SAR)." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5 (November 15, 2018): 331–37. http://dx.doi.org/10.5194/isprs-annals-iv-5-331-2018.

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<p><strong>Abstract.</strong> The applications of synthetic aperture radars (SAR) have increased manifold in the past decade, which includes numerous Earth observation applications such as agriculture, forestry, disaster monitoring cryospheric- and atmospheric- studies. Among them, the potential of SAR for ionospheric studies is gaining importance. The susceptibility of SAR to space weather dynamics, and ionosphere in particular, comes at low frequencies of L- and P-bands. This paper discusses one such scintillation event that was observed by L-band Advanced Land Observation

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Tzouvaras, Marios, Chris Danezis, and Diofantos G. Hadjimitsis. "Small Scale Landslide Detection Using Sentinel-1 Interferometric SAR Coherence." Remote Sensing 12, no. 10 (2020): 1560. http://dx.doi.org/10.3390/rs12101560.

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Infrastructure is operational under normal circumstances and is designed to cope with common natural disruptions such as rainfall and snow. Natural hazards can lead to severe problems at the areas where such phenomena occur, but also at neighboring regions as they can make parts of a road network virtually impassable. Landslides are one of the most devastating natural hazards worldwide, triggered by various factors that can be monitored via ground-based and/or satellite-based techniques. Cyprus is in an area of high susceptibility to such phenomena. Currently, extensive field campaigns includi

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Cimini, Domenico, James Hocking, Francesco De Angelis, et al. "RTTOV-gb v1.0 – updates on sensors, absorption models, uncertainty, and availability." Geoscientific Model Development 12, no. 5 (2019): 1833–45. http://dx.doi.org/10.5194/gmd-12-1833-2019.

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Abstract. This paper describes the first official release (v1.0) of RTTOV-gb. RTTOV-gb is a FORTRAN 90 code developed by adapting the atmospheric radiative transfer code RTTOV, focused on satellite-observing geometry, to the ground-based observing geometry. RTTOV-gb is designed to simulate ground-based upward-looking microwave radiometer (MWR) observations of atmospheric downwelling natural radiation in the frequency range from 22 to 150 GHz. Given an atmospheric profile of temperature, water vapor, and, optionally, cloud liquid water content, and together with a viewing geometry, RTTOV-gb com

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18

Scaioni, Marco, Maria Marsella, Michele Crosetto, Vincenza Tornatore, and Jin Wang. "Geodetic and Remote-Sensing Sensors for Dam Deformation Monitoring." Sensors 18, no. 11 (2018): 3682. http://dx.doi.org/10.3390/s18113682.

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In recent years, the measurement of dam displacements has benefited from a great improvement of existing technology, which has allowed a higher degree of automation. This has led to data collection with an improved temporal and spatial resolution. Robotic total stations and GNSS (Global Navigation Satellite System) techniques, often in an integrated manner, may provide efficient solutions for measuring 3D displacements on precise locations on the outer surfaces of dams. On the other hand, remote-sensing techniques, such as terrestrial laser scanning, ground-based SAR (synthetic aperture radar)

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Martins Costa do Amaral, Lia, Stefano Barbieri, Daniel Vila, et al. "Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil." Remote Sensing 10, no. 11 (2018): 1743. http://dx.doi.org/10.3390/rs10111743.

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The uncertainties associated with rainfall estimates comprise various measurement scales: from rain gauges and ground-based radars to the satellite rainfall retrievals. The quality of satellite rainfall products has improved significantly in recent decades; however, such algorithms require validation studies using observational rainfall data. For this reason, this study aims to apply the H-SAF consolidated radar data processing to the X-band radar used in the CHUVA campaigns and apply the well established H-SAF validation procedure to these data and verify the quality of EUMETSAT H-SAF operati

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García, G., M. Brogioni, V. Venturini, et al. "Determinación de la humedad de suelo mediante regresión lineal múltiple con datos TerraSAR-X." Revista de Teledetección, no. 46 (June 27, 2016): 73. http://dx.doi.org/10.4995/raet.2016.4024.

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<p>The first five centimeters of soil form an interface where the main heat fluxes exchanges between the land surface and the atmosphere occur. Besides ground measurements, remote sensing has proven to be an excellent tool for the monitoring of spatial and temporal distributed data of the most relevant Earth surface parameters including soil’s parameters. Indeed, active microwave sensors (Synthetic Aperture Radar - SAR) offer the opportunity to monitor soil moisture (HS) at global, regional and local scales by monitoring involved processes. Several inversion algorithms, that derive geoph

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Nolan, Peter, James Pinto, Javier González-Rocha, et al. "Coordinated Unmanned Aircraft System (UAS) and Ground-Based Weather Measurements to Predict Lagrangian Coherent Structures (LCSs)." Sensors 18, no. 12 (2018): 4448. http://dx.doi.org/10.3390/s18124448.

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Concentrations of airborne chemical and biological agents from a hazardous release are not spread uniformly. Instead, there are regions of higher concentration, in part due to local atmospheric flow conditions which can attract agents. We equipped a ground station and two rotary-wing unmanned aircraft systems (UASs) with ultrasonic anemometers. Flights reported here were conducted 10 to 15 m above ground level (AGL) at the Leach Airfield in the San Luis Valley, Colorado as part of the Lower Atmospheric Process Studies at Elevation—a Remotely-Piloted Aircraft Team Experiment (LAPSE-RATE) campai

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Văduva, Corina, Cosmin Dănișor, and Mihai Datcu. "Joint SAR Image Time Series and PSInSAR Data Analytics: An LDA Based Approach." Remote Sensing 10, no. 9 (2018): 1436. http://dx.doi.org/10.3390/rs10091436.

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Due to the constant increase in Earth Observation (EO) data collections, the monitoring of land cover is facilitated by the temporal diversity of the satellite images datasets. Due to the capacity of Synthetic Aperture Radar (SAR) sensors to operate independently of sunlight and weather conditions, SAR image time series offer the possibility to form a dataset with almost regular temporal sampling. This paper aims at mining the SAR image time series for an analysis of target’s behavior from the perspective of both temporal evolution and coherence. The authors present a two-level analytical appr

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Cigna, Francesca, Deodato Tapete, and Zhong Lu. "Remote Sensing of Volcanic Processes and Risk." Remote Sensing 12, no. 16 (2020): 2567. http://dx.doi.org/10.3390/rs12162567.

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Remote sensing data and methods are increasingly being embedded into assessments of volcanic processes and risk. This happens thanks to their capability to provide a spectrum of observation and measurement opportunities to accurately sense the dynamics, magnitude, frequency, and impacts of volcanic activity in the ultraviolet (UV), visible (VIS), infrared (IR), and microwave domains. Launched in mid-2018, the Special Issue “Remote Sensing of Volcanic Processes and Risk” of Remote Sensing gathers 19 research papers on the use of satellite, aerial, and ground-based remote sensing to detect therm

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Marzano, F. S., S. Mori, M. Chini, et al. "Potential of high-resolution detection and retrieval of precipitation fields from X-band spaceborne synthetic aperture radar over land." Hydrology and Earth System Sciences 15, no. 3 (2011): 859–75. http://dx.doi.org/10.5194/hess-15-859-2011.

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Abstract. X-band Synthetic Aperture Radars (X-SARs), able to image the Earth's surface at metric resolution, may provide a unique opportunity to measure rainfall over land with spatial resolution of about few hundred meters, due to the atmospheric moving-target degradation effects. This capability has become very appealing due to the recent launch of several X-SAR satellites, even though several remote sensing issues are still open. This work is devoted to: (i) explore the potential of X-band high-resolution detection and retrieval of rainfall fields from space using X-SAR signal backscatterin

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Marzano, F. S., S. Mori, M. Chini, et al. "Potential of high-resolution detection and retrieval of precipitation fields from X-band spaceborne Synthetic Aperture Radar over land." Hydrology and Earth System Sciences Discussions 7, no. 5 (2010): 7451–84. http://dx.doi.org/10.5194/hessd-7-7451-2010.

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Abstract. X-band Synthetic Aperture Radars (X-SARs), able to image the Earth's surface at metric resolution, may provide a unique opportunity to measure rainfall over land with spatial resolution of about few hundred meters, due to the atmospheric moving-target degradation effects. This capability has become very appealing due to the recent launch of several X-SAR satellites, even though several remote sensing issues are still open. This work is devoted to: (i) explore the potential of X-band high-resolution detection and retrieval of rainfall fields from space using X-SAR signal backscatterin

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Calders, Kim, Inge Jonckheere, Joanne Nightingale, and Mikko Vastaranta. "Remote Sensing Technology Applications in Forestry and REDD+." Forests 11, no. 2 (2020): 188. http://dx.doi.org/10.3390/f11020188.

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Advances in close-range and remote sensing technologies drive innovations in forest resource assessments and monitoring at varying scales. Data acquired with airborne and spaceborne platforms provide us with higher spatial resolution, more frequent coverage and increased spectral information. Recent developments in ground-based sensors have advanced three dimensional (3D) measurements, low-cost permanent systems and community-based monitoring of forests. The REDD+ mechanism has moved the remote sensing community in advancing and developing forest geospatial products which can be used by countr

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Dea, Jack Y., William Van Bise, Elizabeth A. Rauscher, and Wolfgang-M. Boerner. "Observations of ELF (extremely low frequency) signatures arising from space vehicle disturbances of the ionosphere." Canadian Journal of Physics 69, no. 8-9 (1991): 959–65. http://dx.doi.org/10.1139/p91-151.

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We report on observations of extremely low-frequency (ELF) signatures during exit or reentry of space vehicles through the ionosphere. The two modes regularly observed gave signals that peaked at 5.6 and 11.2 Hz. The evidence points to the lower ionosphere, i.e., the D- and E-layers, as the generator of these signals. The measurements were performed using ground-based multiturn coil sensors located in Reno and San Diego. The nature of these signals is unclear at present but it is surmised that we are detecting either the evanescent fields of hydromagnetic waves traveling in the ionosphere or t

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Grzempowski, Piotr, Janusz Badura, Wojciech Milczarek, Jan Blachowski, Tadeusz Głowacki, and Marcin Zając. "Determination of the Long-Term Ground Surface Displacements Using a PSI Technique—Case Study on Wrocław (Poland)." Applied Sciences 10, no. 10 (2020): 3343. http://dx.doi.org/10.3390/app10103343.

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Wrocław is a major city located in the southwestern part of Poland in an aseismic tectonic fault zone. Slow, long-term, vertical displacements have been observed there from the 1930s based on the levelling network measurements with the use of a precise levelling method. Due to the high cost of classic surveys, these were performed at intervals of several decades and the most recent measurement of ground surface displacement was performed in 1999. The main aim of this study is to determine the ground surface displacements on the area of Wrocław in the 1995–2019 period, the spatio-temporal analy

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Stecz, Wojciech, and Krzysztof Gromada. "Determining UAV Flight Trajectory for Target Recognition Using EO/IR and SAR." Sensors 20, no. 19 (2020): 5712. http://dx.doi.org/10.3390/s20195712.

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The paper presents the concept of planning the optimal trajectory of fixed-wing unmanned aerial vehicle (UAV) of a short-range tactical class, whose task is to recognize a set of ground objects as a part of a reconnaissance mission. Tasks carried out by such systems are mainly associated with an aerial reconnaissance using Electro-Optical/Infrared (EO/IR) systems and Synthetic Aperture Radars (SARs) to support military operations. Execution of a professional reconnaissance of the indicated objects requires determining the UAV flight trajectory in the close neighborhood of the target, in order

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Puca, S., F. Porcu, A. Rinollo, et al. "The validation service of the hydrological SAF geostationary and polar satellite precipitation products." Natural Hazards and Earth System Sciences 14, no. 4 (2014): 871–89. http://dx.doi.org/10.5194/nhess-14-871-2014.

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Abstract. The development phase (DP) of the EUMETSAT Satellite Application Facility for Support to Operational Hydrology and Water Management (H-SAF) led to the design and implementation of several precipitation products, after 5 yr (2005–2010) of activity. Presently, five precipitation estimation algorithms based on data from passive microwave and infrared sensors, on board geostationary and sun-synchronous platforms, function in operational mode at the H-SAF hosting institute to provide near real-time precipitation products at different spatial and temporal resolutions. In order to evaluate

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Matano, Fabio. "Analysis and Classification of Natural and Human-Induced Ground Deformations at Regional Scale (Campania, Italy) Detected by Satellite Synthetic-Aperture Radar Interferometry Archive Datasets." Remote Sensing 11, no. 23 (2019): 2822. http://dx.doi.org/10.3390/rs11232822.

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The high levels of geo-hydrological, seismic, and volcanic hazards in the Campania region prompted full data collection from C-band satellites ERS-1/2, ENVISAT, and RADARSAT within regional (TELLUS) and national (PST-A) projects. The quantitative analysis, interpretation, and classification of natural and human-induced slow-rate ground deformations across a span of two decades (1992–2010) was performed at regional scale (Campania, Italy) by using interferometric archive datasets, based on the Persistent Scatterer Interferometry approach. As radar satellite sensors have a side-looking view, the

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Fratarcangeli, F., A. Nascetti, P. Capaldo, A. Mazzoni, and M. Crespi. "CENTIMETER COSMO-SKYMED RANGE MEASUREMENTS FOR MONITORING GROUND DISPLACEMENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 22, 2016): 815–20. http://dx.doi.org/10.5194/isprsarchives-xli-b7-815-2016.

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The SAR (Synthetic Aperture Radar) imagery are widely used in order to monitor displacements impacting the Earth surface and infrastructures. The main remote sensing technique to extract sub-centimeter information from SAR imagery is the Differential SAR Interferometry (DInSAR), based on the phase information only. However, it is well known that DInSAR technique may suffer for lack of coherence among the considered stack of images. New Earth observation SAR satellite sensors, as COSMO-SkyMed, TerraSAR-X, and the coming PAZ, can acquire imagery with high amplitude resolutions too, up to few dec

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Fratarcangeli, F., A. Nascetti, P. Capaldo, A. Mazzoni, and M. Crespi. "CENTIMETER COSMO-SKYMED RANGE MEASUREMENTS FOR MONITORING GROUND DISPLACEMENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 22, 2016): 815–20. http://dx.doi.org/10.5194/isprs-archives-xli-b7-815-2016.

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The SAR (Synthetic Aperture Radar) imagery are widely used in order to monitor displacements impacting the Earth surface and infrastructures. The main remote sensing technique to extract sub-centimeter information from SAR imagery is the Differential SAR Interferometry (DInSAR), based on the phase information only. However, it is well known that DInSAR technique may suffer for lack of coherence among the considered stack of images. New Earth observation SAR satellite sensors, as COSMO-SkyMed, TerraSAR-X, and the coming PAZ, can acquire imagery with high amplitude resolutions too, up to few dec

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Arnaut, Luk R. "Electromagnetic self-adaptive surfaces with shielded external support system." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 462, no. 2068 (2006): 1053–80. http://dx.doi.org/10.1098/rspa.2005.1597.

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We analyse the electromagnetic (EM) characteristics of a self-adaptive material (SAM) surface whose support system is shielded from the SAM array by a perfectly conducting ground plane. This configuration enables subarrays consisting of EM sensors and actuators to be completely separated from the control unit, active components, beamformers, power hybrids and wiring harness. The radiation characteristics, spectral-domain Green dyadic function and array impedance are obtained in closed form, based on image theory. It is shown that the performance of a previously studied free-standing implementa

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Huang, Xiaodong, Beth Ziniti, Nathan Torbick, and Mark Ducey. "Assessment of Forest above Ground Biomass Estimation Using Multi-Temporal C-band Sentinel-1 and Polarimetric L-band PALSAR-2 Data." Remote Sensing 10, no. 9 (2018): 1424. http://dx.doi.org/10.3390/rs10091424.

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Synthetic Aperture Radar (SAR), as an active sensor transmitting long wavelengths, has the advantages of working day and night and without rain or cloud disturbance. It is further able to sense the geometric structure of forests more than passive optical sensors, making it a valuable tool for mapping forest Above Ground Biomass (AGB). This paper studies the ability of the single- and multi-temporal C-band Sentinel-1 and polarimetric L-band PALSAR-2 data to estimate live AGB based on ground truth data collected in New England, USA in 2017. Comparisons of results using the Simple Water Cloud Mod

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Kuras, Przemysław, Łukasz Ortyl, Tomasz Owerko, Marek Salamak, and Piotr Łaziński. "GB-SAR in the Diagnosis of Critical City Infrastructure—A Case Study of a Load Test on the Long Tram Extradosed Bridge." Remote Sensing 12, no. 20 (2020): 3361. http://dx.doi.org/10.3390/rs12203361.

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This article describes a case of using remote sensing during a static load test of a large bridge, which, because of its location, belongs to a critical city infrastructure. The bridge in question is the longest tram flyover in Poland. This is an extradosed-type concrete structure. It conducts a long tram line over 21 other active lines of an important railway station in the center of Cracow. The diagnostic of such bridges involving the load test method is difficult. Traditional, contact measurements of span displacements are not enough anymore. In such cases, remote sensing becomes an indispe

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Haarpaintner, J., D. de la Fuente Blanco, F. Enßle, et al. "Tropical Forest Remote Sensing Services for the Democratic Republic of Congo inside the EU FP7 ReCover Project (Final Results 2000-2012)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 397–402. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-397-2015.

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‘ReCover’ was a 3-year EU-FP7 project (Nov. 2010 – Dec. 2013), aiming to develop and improve science based remote sensing services to support tropical forest management and activities to reduce emission from deforestation and forest degradation (REDD) in the tropical region (Häme et al., 2012). This is an overview of the final ReCover service delivery of 2000-2012 single-year optical (Landsat, ALOS AVNIR-2, RapidEye) and C-and L-band SAR (Envisat ASAR and ALOS Palsar, respectively) image mosaics, their derived forest/non-forest maps, a multi-sensor forest change map (2000-2010) and a biomass m

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Ruiz-Ramos, Javier, Armando Marino, Carl Boardman, and Juan Suarez. "Continuous Forest Monitoring Using Cumulative Sums of Sentinel-1 Timeseries." Remote Sensing 12, no. 18 (2020): 3061. http://dx.doi.org/10.3390/rs12183061.

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Forest degradation is recognized as a major environmental threat on a global scale. The recent rise in natural and anthropogenic destruction of forested ecosystems highlights the need for developing new, rapid, and accurate remote sensing monitoring systems, which capture forested land transformations. In spite of the great technological advances made in airborne and spaceborne sensors over the past decades, current Earth observation (EO) change detection methods still need to overcome numerous limitations. Optical sensors have been commonly used for detecting land use and land cover changes (

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Jensen, Katherine, Kyle McDonald, Erika Podest, Nereida Rodriguez-Alvarez, Viviana Horna, and Nicholas Steiner. "Assessing L-Band GNSS-Reflectometry and Imaging Radar for Detecting Sub-Canopy Inundation Dynamics in a Tropical Wetlands Complex." Remote Sensing 10, no. 9 (2018): 1431. http://dx.doi.org/10.3390/rs10091431.

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Despite the growing number of remote-sensing products from satellite sensors, mapping of the combined spatial distribution and temporal variability of inundation in tropical wetlands remains challenging. An emerging innovative approach is offered by Global Navigation Satellite System reflectometry (GNSS-R), a concept that takes advantage of GNSS-transmitting satellites and independent radar receivers to provide bistatic radar observations of Earth’s surface with large-scale coverage. The objective of this paper is to assess the capability of spaceborne GNSS reflections to characterize surface

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De Giorgi, Andrea, David Solarna, Gabriele Moser, et al. "Monitoring the Recovery after 2016 Hurricane Matthew in Haiti via Markovian Multitemporal Region-Based Modeling." Remote Sensing 13, no. 17 (2021): 3509. http://dx.doi.org/10.3390/rs13173509.

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The aim of this paper is to address the monitoring of the recovery phase in the aftermath of Hurricane Matthew (28 September–10 October 2016) in the town of Jérémie, southwestern Haiti. This is accomplished via a novel change detection method that has been formulated, in a data fusion perspective, in terms of multitemporal supervised classification. The availability of very high resolution images provided by last-generation satellite synthetic aperture radar (SAR) and optical sensors makes this analysis promising from an application perspective and simultaneously challenging from a processing

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Osio, A., M. T. Pham, and S. Lefèvre. "SPATIAL PROCESSING OF SENTINEL IMAGERY FOR MONITORING OF ACACIA FOREST DEGRADATION IN LAKE NAKURU RIPARIAN RESERVE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 525–32. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-525-2020.

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Abstract. Tree degradation in National Parks poses a serious risk to the birds and animals and to a larger extent the general ecosystem. The essence of Forest degradation mapping is to detect the extent of damage on the trees over time, hence providing stakeholders with a basis for forest rehabilitation and intervention. The study proposes a workflow for detection and classification of degrading acacia vegetation along Lake Nakuru riparian reserve. Inspired by previous research on the use of Dual Polarized Sentinel 1 Ground Range Detected (GRD) data for vegetation detection, a set of six Senti

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Kang, Suktae, and Myeong-Jong Yu. "Ant-Mutated Immune Particle Filter Design for Terrain Referenced Navigation with Interferometric Radar Altimeter." Remote Sensing 13, no. 11 (2021): 2189. http://dx.doi.org/10.3390/rs13112189.

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This study aims to design a robust particle filter using artificial intelligence algorithms to enhance estimation performance using a low-grade interferometric radar altimeter (IRA). Based on the synthetic aperture radar (SAR) interferometry technology, the IRA can extract three-dimensional ground coordinates with at least two antennas. However, some IRA uncertainties caused by geometric factors and IRA-inherent measurement errors have proven to be difficult to eliminate by signal processing. These uncertainties contaminate IRA outputs, crucially impacting the navigation performance of low-gra

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Jin, Meng, Yuqi Bai, Emmanuel Devys, and Liping Di. "Toward a Standardized Encoding of Remote Sensing Geo-Positioning Sensor Models." Remote Sensing 12, no. 9 (2020): 1530. http://dx.doi.org/10.3390/rs12091530.

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Geolocation information is an important feature of remote sensing image data that is captured through a variety of passive or active observation sensors, such as push-broom electro-optical sensor, synthetic aperture radar (SAR), light detection and ranging (LIDAR) and sound navigation and ranging (SONAR). As a fundamental processing step to locate an image, geo-positioning is used to determine the ground coordinates of an object from image coordinates. A variety of sensor models have been created to describe geo-positioning process. In particular, Open Geospatial Consortium (OGC) has defined t

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Niculescu, Simona, Jean-Baptiste Boissonnat, Cédric Lardeux, et al. "Synergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta." Remote Sensing 12, no. 14 (2020): 2188. http://dx.doi.org/10.3390/rs12142188.

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In wetland environments, vegetation has an important role in ecological functioning. The main goal of this work was to identify an optimal combination of Sentinel-1 (S1), Sentinel-2 (S2), and Pleiades data using ground-reference data to accurately map wetland macrophytes in the Danube Delta. We tested several combinations of optical and Synthetic Aperture Radar (SAR) data rigorously at two levels. First, in order to reduce the confusion between reed (Phragmites australis (Cav.) Trin. ex Steud.) and other macrophyte communities, a time series analysis of S1 data was performed. The potential of

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Tiwari, S. K., and Prasada Rao G. "Multi-Temporal Synthetic Aperture Radar Data for Paddy Crop Area Estimation in Eastern part of Godavari Delta, Andhra Pradesh, India." Current Agriculture Research Journal 8, no. 3 (2020): 208–18. http://dx.doi.org/10.12944/carj.8.3.06.

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In the present study, an attempt is made to estimate the area under paddy crop during Rabi, 2013-14 using Microwave satellite data in the eastern part of Godavari delta. Clouds veil nearly the entire sky in both (Kharif & Rabi) seasons of Andhra Pradesh and hinder the estimation of crop acreage through optical satellite sensors. Microwaves can penetrate clouds and be used to detect crops during the day and night, regardless of cloud cover. Radar Imaging SATellite-1 (RISAT-1), microwave sensor, dual-polarization Horizontal-Horizontal (HH), Horizontal-Vertical (HV), Medium Resolution scanSAR

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Mohite, J. D., S. A. Sawant, A. Pandit, and S. Pappula. "INVESTIGATING THE PERFORMANCE OF RANDOM FOREST AND SUPPORT VECTOR REGRESSION FOR ESTIMATION OF CLOUD-FREE NDVI USING SENTINEL-1 SAR DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 22, 2020): 1379–83. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1379-2020.

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Abstract. The current study focuses on the estimation of cloud-free Normalized Difference Vegetation Index (NDVI) using the Synthetic Aperture Radar (SAR) observations obtained from Sentinel-1 (A and B) sensor. South-West Summer Monsoon over the Indian sub-continent lasts for four months (mid-June to mid-October). During this time, optical remote sensing observations are affected by dense cloud cover. Therefore, there is a need for methodology to estimate state of vegetation during the cloud cover. The crops considered in this study are Paddy (Rice) from Punjab and Haryana, whereas Cotton, Tur

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Rinollo, A., G. Vulpiani, S. Puca, et al. "Definition and impact of a quality index for radar-based reference measurements in the H-SAF precipitation product validation." Natural Hazards and Earth System Sciences 13, no. 10 (2013): 2695–705. http://dx.doi.org/10.5194/nhess-13-2695-2013.

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Abstract. The EUMETSAT Satellite Application Facility on Support to Operational Hydrology and Water Management (H-SAF) provides rainfall estimations based on infrared and microwave satellite sensors on board polar and geostationary satellites. The validation of these satellite estimations is performed by the H-SAF Precipitation Product Validation Group (PPVG). A common validation methodology has been defined inside the PPVG in order to make validation results from several institutes comparable and understandable. The validation of the PR-OBS-3 (blended infrared–microwave (IR–MW) instantaneous

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Bell, Tyler M., Brian R. Greene, Petra M. Klein, Matthew Carney, and Phillip B. Chilson. "Confronting the boundary layer data gap: evaluating new and existing methodologies of probing the lower atmosphere." Atmospheric Measurement Techniques 13, no. 7 (2020): 3855–72. http://dx.doi.org/10.5194/amt-13-3855-2020.

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Abstract. It is widely accepted that the atmospheric boundary layer is drastically under-sampled in the vertical dimension. In recent years, the commercial availability of ground-based remote sensors combined with the widespread use of small, weather-sensing uncrewed aerial systems (WxUAS) has opened up many opportunities to fill this measurement gap. In July 2018, the University of Oklahoma (OU) deployed a state-of-the-art WxUAS, dubbed the CopterSonde, and the Collaborative Lower Atmospheric Mobile Profiling System (CLAMPS) in the San Luis Valley in south-central Colorado. Additionally, thes

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Hao, N., M. E. Koukouli, A. Inness, et al. "GOME-2 total ozone columns from MetOp-A/MetOp-B and assimilation in the MACC system." Atmospheric Measurement Techniques 7, no. 9 (2014): 2937–51. http://dx.doi.org/10.5194/amt-7-2937-2014.

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Abstract. The two Global Ozone Monitoring Instrument (GOME-2) sensors operated in tandem are flying onboard EUMETSAT's (European Organisation for the Exploitation of Meteorological Satellites) MetOp-A and MetOp-B satellites, launched in October 2006 and September 2012 respectively. This paper presents the operational GOME-2/MetOp-A (GOME-2A) and GOME-2/MetOp-B (GOME-2B) total ozone products provided by the EUMETSAT Satellite Application Facility on Ozone and Atmospheric Chemistry Monitoring (O3M-SAF). These products are generated using the latest version of the GOME Data Processor (GDP version

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Hao, N., M. E. Koukouli, A. Inness, et al. "GOME-2 total ozone columns from MetOp-A/MetOp-B and assimilation in the MACC system." Atmospheric Measurement Techniques Discussions 7, no. 3 (2014): 2259–99. http://dx.doi.org/10.5194/amtd-7-2259-2014.

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Abstract. The two Global Ozone Monitoring Instrument (GOME-2) sensors operated in tandem are flying onboard EUMETSAT's MetOp-A and MetOp-B satellites, launched in October 2006 and September 2012 respectively. This paper presents the operational GOME-2/MetOp-A (GOME-2A) and GOME-2/MetOp-B (GOME-2B) total ozone products provided by the EUMETSAT Satellite Application Facility on Ozone and Atmospheric Chemistry Monitoring (O3M-SAF). These products are generated using the latest version of the GOME Data Processor (GDP version 4.7). The enhancements in GDP 4.7, including the application of Brion–Dau

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