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  • Central Italy 2016 earthquakes  (2)
  • Geosynchronous SAR  (1)
  • Motya archaeological site  (1)
  • SAR Polarimetry
  • 1
    Unknown
    Basel, Beijing, Wuhan, Barcelona, Belgrade : MDPI
    Keywords: Synthetic Aperture Radar ; SAR Sensors ; SAR Interferometry ; DEM Generation from SAR Data ; Surface Motion Estimation from SAR ; SAR Polarimetry ; SAR constellations ; Geosynchronous SAR ; Ground based SAR ; SAR applications
    Description / Table of Contents: Deng, X.; López-Martínez, C.; Chen, J.; Han, P. Statistical Modeling of Polarimetric SAR Data: A Survey and Challenges. Remote Sens. 2017, 9(4), 348; https://doi.org/10.3390/rs9040348 --- Braun, A.; Hochschild, V. A SAR-Based Index for Landscape Changes in African Savannas. Remote Sens. 2017, 9(4), 359; https://doi.org/10.3390/rs9040359 --- Ghafouri, A.; Amini, J.; Dehmollaian, M.; Kavoosi, M. Better Estimated IEM Input Parameters Using Random Fractal Geometry Applied on Multi-Frequency SAR Data. Remote Sens. 2017, 9(5), 445; https://doi.org/10.3390/rs9050445 --- Kim, S.; Yu, J.; Jeon, S.; Dewantari, A.; Ka, M. Signal Processing for a Multiple-Input, Multiple-Output (MIMO) Video Synthetic Aperture Radar (SAR) with Beat Frequency Division Frequency-Modulated Continuous Wave (FMCW). Remote Sens. 2017, 9(5), 491; https://doi.org/10.3390/rs9050491 --- Chen, Q.; Li, L.; Xu, Q.; Yang, S.; Shi, X.; Liu, X. Multi-Feature Segmentation for High-Resolution Polarimetric SAR Data Based on Fractal Net Evolution Approach. Remote Sens. 2017, 9(6), 570; https://doi.org/10.3390/rs9060570 --- Garthwaite, M. On the Design of Radar Corner Reflectors for Deformation Monitoring in Multi-Frequency InSAR. Remote Sens. 2017, 9(7), 648; https://doi.org/10.3390/rs9070648 --- Tao, C.; Chen, S.; Li, Y.; Xiao, S. PolSAR Land Cover Classification Based on Roll-Invariant and Selected Hidden Polarimetric Features in the Rotation Domain. Remote Sens. 2017, 9(7), 660; https://doi.org/10.3390/rs9070660 --- Giudici, D.; Monti Guarnieri, A.; Cuesta Gonzalez, J. Pre-Flight SAOCOM-1A SAR Performance Assessment by Outdoor Campaign. Remote Sens. 2017, 9(7), 729; https://doi.org/10.3390/rs9070729 --- Libert, L.; Derauw, D.; d’Oreye, N.; Barbier, C.; Orban, A. Split-Band Interferometry-Assisted Phase Unwrapping for the Phase Ambiguities Correction. Remote Sens. 2017, 9(9), 879; https://doi.org/10.3390/rs9090879 --- Zhao, J.; Wu, J.; Ding, X.; Wang, M. Elevation Extraction and Deformation Monitoring by Multitemporal InSAR of Lupu Bridge in Shanghai. Remote Sens. 2017, 9(9), 897; https://doi.org/10.3390/rs9090897 --- Park, J.; Kim, J.; Won, J. Fast and Efficient Correction of Ground Moving Targets in a Synthetic Aperture Radar, Single-Look Complex Image. Remote Sens. 2017, 9(9), 926; https://doi.org/10.3390/rs9090926 --- Shi, X.; Jiang, H.; Zhang, L.; Liao, M. Landslide Displacement Monitoring with Split-Bandwidth Interferometry: A Case Study of the Shuping Landslide in the Three Gorges Area. Remote Sens. 2017, 9(9), 937; https://doi.org/10.3390/rs9090937 --- Zhai, A.; Wen, X.; Xu, H.; Yuan, L.; Meng, Q. Multi-Layer Model Based on Multi-Scale and Multi-Feature Fusion for SAR Images. Remote Sens. 2017, 9(10), 1085; https://doi.org/10.3390/rs9101085 --- Wang, C.; Chen, L.; Zhao, H.; Lu, Z.; Bian, M.; Zhang, R.; Feng, J. Ionospheric Reconstructions Using Faraday Rotation in Spaceborne Polarimetric SAR Data. Remote Sens. 2017, 9(11), 1169; https://doi.org/10.3390/rs9111169 --- Monti-Guarnieri, A.; Giudici, D.; Recchia, A. Identification of C-Band Radio Frequency Interferences from Sentinel-1 Data. Remote Sens. 2017, 9(11), 1183; https://doi.org/10.3390/rs9111183 --- Behnamian, A.; Banks, S.; White, L.; Brisco, B.; Millard, K.; Pasher, J.; Chen, Z.; Duffe, J.; Bourgeau-Chavez, L.; Battaglia, M. Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study. Remote Sens. 2017, 9(12), 1209; https://doi.org/10.3390/rs9121209 --- Sun, L.; Muller, J.; Chen, J. Time Series Analysis of Very Slow Landslides in the Three Gorges Region through Small Baseline SAR Offset Tracking. Remote Sens. 2017, 9(12), 1314; https://doi.org/10.3390/rs9121314 --- Di Martino, G.; Iodice, A.; Riccio, D.; Ruello, G.; Zinno, I. The Role of Resolution in the Estimation of Fractal Dimension Maps From SAR Data. Remote Sens. 2018, 10(1), 9; https://doi.org/10.3390/rs10010009 --- Garthwaite, M. Correction: Garthwaite, M.C. on the Design of Radar Corner Reflectors for Deformation Monitoring in Multi-Frequency InSAR. Remote Sens. 2017, 9, 648. Remote Sens. 2018, 10(1), 86; https://doi.org/10.3390/rs10010086 --- Zhang, H.; Tang, J.; Wang, R.; Deng, Y.; Wang, W.; Li, N. An Accelerated Backprojection Algorithm for Monostatic and Bistatic SAR Processing. Remote Sens. 2018, 10(1), 140; https://doi.org/10.3390/rs10010140 --- Eshqi Molan, Y.; Kim, J.; Lu, Z.; Agram, P. L-Band Temporal Coherence Assessment and Modeling Using Amplitude and Snow Depth over Interior Alaska. Remote Sens. 2018, 10(1), 150; https://doi.org/10.3390/rs10010150 --- Dong, Y.; Jiang, H.; Zhang, L.; Liao, M. An Efficient Maximum Likelihood Estimation Approach of Multi-Baseline SAR Interferometry for Refined Topographic Mapping in Mountainous Areas. Remote Sens. 2018, 10(3), 454; https://doi.org/10.3390/rs10030454 --- Bu, Y.; Liang, X.; Wang, Y.; Zhang, F.; Li, Y. A Unified Algorithm for Channel Imbalance and Antenna Phase Center Position Calibration of a Single-Pass Multi-Baseline TomoSAR System. Remote Sens. 2018, 10(3), 456; https://doi.org/10.3390/rs10030456 --- Neelmeijer, J.; Schöne, T.; Dill, R.; Klemann, V.; Motagh, M. Ground Deformations around the Toktogul Reservoir, Kyrgyzstan, from Envisat ASAR and Sentinel-1 Data—A Case Study about the Impact of Atmospheric Corrections on InSAR Time Series. Remote Sens. 2018, 10(3), 462; https://doi.org/10.3390/rs10030462 --- Tian, X.; Malhotra, R.; Xu, B.; Qi, H.; Ma, Y. Modeling Orbital Error in InSAR Interferogram Using Frequency and Spatial Domain Based Methods. Remote Sens. 2018, 10(4), 508; https://doi.org/10.3390/rs10040508 --- Even, M.; Schulz, K. InSAR Deformation Analysis with Distributed Scatterers: A Review Complemented by New Advances. Remote Sens. 2018, 10(5), 744; https://doi.org/10.3390/rs10050744 --- Washaya, P.; Balz, T.; Mohamadi, B. Coherence Change-Detection with Sentinel-1 for Natural and Anthropogenic Disaster Monitoring in Urban Areas. Remote Sens. 2018, 10(7), 1026; https://doi.org/10.3390/rs10071026 --- Balz, T.; Sörgel, U.; Crespi, M.; Osmanoglu, B. Editorial for Special Issue “Advances in SAR: Sensors, Methodologies, and Applications”. Remote Sens. 2018, 10(8), 1233; https://doi.org/10.3390/rs10081233
    Pages: Online-Ressource (X, 515 Seiten) , Illustrationen, Diagramme, Karten
    Edition: Printed Edition of the Special Issue Published in Remote Sensing
    ISBN: 9783038971832
    Language: English
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  • 2
    Publication Date: 2020-12-15
    Description: The knowledge of coseismic deformations due to earthquakes represents the fundamentals on which studies on seismic cycle and fault source mechanism are based on. Geodetic methods, in particular the recent developments of GNSS monitoring, are the only onescapable of providing the displacements of reference sites due to the occurrence of significant seismic events. Usually the detection of seismic offsets is done by comparing coordinates estimated before and after the earthquake. Here, considering the test case of the 30 October, 2016 central Italy seismic event, we show that it is possible to achieve such offsets also in real-time through the application of the new functionalities of the VADASE (Variometric Approach for Displacements Analysis Stand-alone Engine) approach. The comparison between the seismic offsets coming from the two approaches (static and realtime) is shown and discussed; the mean overall agreement is at the level of about half centimetre.
    Description: Published
    Description: 189-198
    Description: 2T. Deformazione crostale attiva
    Keywords: Coseismic Offset ; VADASE ; Tectonic deformation ; Central Italy 2016 earthquakes ; 04.03. Geodesy
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: book chapter
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  • 3
    Publication Date: 2020-12-15
    Description: In this study, we analyze the impact of the sea level rise induced by climate change on the coastal cultural heritage site of Motya, the Phoenician colony (IV–III millennium B.P.) located in the San Pantaleo island, NW corner of Sicily (southern Italy). In particular, we assessed the effects of this phenomenon on the human settlement in the past 2400 years and the expected sea level rise scenario for the next decades. A detailed flooding scenario for 2100 from direct observations and two models, taking into account the contribution of Vertical Land Movements (VLM), is provided. The surface topography is derived from a novel high-resolution/high-accuracy digital surface model (DSM), which was performed through an Unmanned Aerial Vehicles (UAV) survey, whereas the rate of VLM was estimated by the analysis of geodetic data at three Continuous Global Positioning System (CGPS) stations located close to the island. To estimate the local mean sea level and to correct the tide level (TL) at the epoch of UAV survey, the hydrometric recordings of the nearest sea level gauge station located at Porto Empedocle (Sicily), were used. Two flooding scenarios for 2100 were then represented on the high-resolution DSM, using the regional sea-level projections of the International Panel on Climate Change (IPCC) for the Mediterranean region. According to the RCP 8.5 climatic model, a difference of about + 59 cm above the local mean sea level between the current and the expected coastline positions at 2100 A.D., was found. In addition, by adding the average half amplitude of the daily tide, equal to about 30 cm, a maximum flooding scenario was determined. Finally, in the maximum condition of sea level rise, a significant flooding on the archaeological structures is expected for the Kothon area and along the North- West coast of the island.
    Description: This study has been partially supported by the 2011–2013 MIUR-PRIN (Project: Response of morphoclimatic system dynamics to global changes and related geomorphologic hazard) and under the umbrella of the SAVEMEDCOASTS Project, funded by the EU (Agreement Number: ECHO/SUB/2016/742473/PREV16).
    Description: Published
    Description: 747–757
    Description: 7SR AMBIENTE – Servizi e ricerca per la società
    Description: JCR Journal
    Keywords: Motya archaeological site ; sea level rise ; UAV survey ; Digital surface model ; GPS ; Tide gauge ; Flooding scenarios
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 4
    Publication Date: 2022-05-06
    Description: The goal of this article is the illustration of the new functionalities of the VADASE (Variometric Approach for Displacements Analysis Stand-alone Engine) processing approach. VADASE was presented in previous works as an approach able to estimate in real time the velocities and displacements in a global reference frame (ITRF), using high-rate (1 Hz or more) carrier phase observations and broadcast products (orbits, clocks) collected by a stand-alone GNSS receiver, achieving a displacements accuracy within 1–2 cm (usually better) over intervals up to a few minutes. It has been well known since the very first implementation and testing of VADASE that the estimated displacements might be impacted by two different effects: spurious spikes in the velocities due to outliers (consequently, displacements, obtained through velocities integration, are severely corrupted) and trends in the displacements time series, mainly due to broadcast orbit and clock errors. Two strategies are herein introduced, respectively based on Leave-One-Out cross-validation (VADASE-LOO) for a receiver autonomous outlier detection, and on a network augmentation strategy to filter common trends out (A-VADASE); they are combined (first, VADASE-LOO; second, A-VADASE) for a complete solution. Moreover, starting from this VADASE improved solution, an additional strategy is proposed to estimate in real time the overall coseismic displacement occurring at each GNSS receiver. New VADASE advances are successfully applied to the GPS data collected during the recent three strong earthquakes that occurred in Central Italy on 24 August and 26 and 30 October 2016, and the results are herein presented and discussed. The VADASE real-time estimated coseismic displacements are compared to the static ones derived from the daily solutions obtained within the standard post-processing procedure by the Istituto Nazionale di Geofisica e Vulcanologia.
    Description: Published
    Description: id 1201
    Description: 2T. Deformazione crostale attiva
    Description: JCR Journal
    Keywords: GNSS seismology ; variometric approach improvements ; real-time coseismic displacements ; Central Italy 2016 earthquakes
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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