Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Virginia Zamparelli"'
Autor:
Qing Zhao, Antonio Pepe, Virginia Zamparelli, Pietro Mastro, Francesco Falabella, Saygin Abdikan, Caglar Bayik, Fusun Balik Sanli, Mustafa Ustuner, Nevin Betul Avşar, Jingjing Wang, Peng Chen, Zhengjie Li, Adam T. Devlin, Fabiana Calò
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 836-853 (2024)
Remote sensing (RS) technologies are extensively exploited by scientists and a vast audience of local authorities, urban managers, and city planners. Coastal regions, geohazard-prone areas, and highly populated cities represent natural laboratories t
Externí odkaz:
https://doaj.org/article/e5ce94392bc6412ebb2cc19b58c4027f
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2074 (2023)
Nowadays, sea surface analysis and monitoring increasingly use remote sensing, with particular interest in Synthetic Aperture Radar (SAR). Several SAR techniques exist in literature to understand the marine phenomena affecting the sea surface. In thi
Externí odkaz:
https://doaj.org/article/9ef19499f7e34aa2912d2c5d3b5c9cea
Autor:
Qing Zhao, Jiayi Pan, Adam Thomas Devlin, Maochuan Tang, Chengfang Yao, Virginia Zamparelli, Francesco Falabella, Antonio Pepe
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2384 (2022)
Remote sensing technologies are extensively applied to prevent, monitor, and forecast hazardous risk conditions in the present-day global climate change era. This paper presents an overview of the current stage of remote sensing approaches employed t
Externí odkaz:
https://doaj.org/article/3df3536c74894edaaee45e9aa1fe368d
Autor:
Qing Zhao, Jiayi Pan, Adam Devlin, Qing Xu, Maochuan Tang, Zhengjie Li, Virginia Zamparelli, Francesco Falabella, Pietro Mastro, Antonio Pepe
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3431 (2021)
Non-climate-related anthropogenic processes and frequently encountered natural hazards exacerbate the risk in coastal zones and megacities and amplify local vulnerability. Coastal risk is amplified by the combination of sea level rise (SLR) resulting
Externí odkaz:
https://doaj.org/article/85124496678f4a63bd738719f7deac40
Autor:
Marina Amadori, Virginia Zamparelli, Giacomo De Carolis, Gianfranco Fornaro, Marco Toffolon, Mariano Bresciani, Claudia Giardino, Francesca De Santi
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2293 (2021)
The SAR Doppler frequencies are directly related to the motion of the scatterers in the illuminated area and have already been used in marine applications to monitor moving water surfaces. Here we investigate the possibility of retrieving surface wat
Externí odkaz:
https://doaj.org/article/2f0310bb606244b0bfdf24a628fa5a4d
Autor:
Jingzhao Ding, Qing Zhao, Maochuan Tang, Fabiana Calò, Virginia Zamparelli, Francesco Falabella, Min Liu, Antonio Pepe
Publikováno v:
Remote Sensing, Vol 12, Iss 18, p 2971 (2020)
In this work, we study ground deformation of ocean-reclaimed platforms as retrieved from interferometric synthetic aperture radar (InSAR) analyses. We investigate, in particular, the suitability and accuracy of some time-dependent models used to char
Externí odkaz:
https://doaj.org/article/bde1237fc5774f6485d676048966cc8d
Autor:
Virginia Zamparelli, Francesca De Santi, Andrea Cucco, Stefano Zecchetto, Giacomo De Carolis, Gianfranco Fornaro
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 3, p 203 (2020)
Several studies have shown the capabilities of Synthetic Aperture Radar to map sea currents in ocean regions mainly characterized by large flows. We consider the well known method based on the analysis of the Doppler Centroid. The Doppler, as, in gen
Externí odkaz:
https://doaj.org/article/4e81138c2e904c7dad1f5cdeaa3ba842
Autor:
Francesco Soldovieri, Virginia Zamparelli, Jose Carlos Nieto Borge, Claudio Lugni, Francesco Serafino
Publikováno v:
Sensors, Vol 10, Iss 7, Pp 6522-6534 (2010)
This work deals with the question of sea state monitoring using marine X-band radar images and focuses its attention on the problem of sea depth estimation. We present and discuss a technique to estimate bathymetry by exploiting the dispersion relati
Externí odkaz:
https://doaj.org/article/b2d487508f5247afa94fe8ba1bb29cee
Publikováno v:
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON).
Autor:
Virginia Zamparelli, Gianfranco Nicodemo, Settimio Ferlisi, Diego Reale, Dario Peduto, Carlo Noviello, Gianfranco Fornaro, Simona Verde, Giovanni Gullà, Antonio Pauciullo
Publikováno v:
Geoscience and Remote Sensing Magazine, IEEE 8 (2020): 91–119. doi:10.1109/MGRS.2019.2963140
info:cnr-pdr/source/autori:Noviello, Carlo; Verde, Simona; Zamparelli, Virginia; Fornaro, Gianfranco; Pauciullo, Antonio; Reale, Diego; Nicodemo, Gianfranco; Ferlisi, Settimio; Gulla, Giovanni; Peduto, Dario/titolo:Monitoring Buildings at Landslide Risk With SAR: A Methodology Based on the Use of Multipass Interferometric Data/doi:10.1109%2FMGRS.2019.2963140/rivista:Geoscience and Remote Sensing Magazine, IEEE/anno:2020/pagina_da:91/pagina_a:119/intervallo_pagine:91–119/volume:8
info:cnr-pdr/source/autori:Noviello, Carlo; Verde, Simona; Zamparelli, Virginia; Fornaro, Gianfranco; Pauciullo, Antonio; Reale, Diego; Nicodemo, Gianfranco; Ferlisi, Settimio; Gulla, Giovanni; Peduto, Dario/titolo:Monitoring Buildings at Landslide Risk With SAR: A Methodology Based on the Use of Multipass Interferometric Data/doi:10.1109%2FMGRS.2019.2963140/rivista:Geoscience and Remote Sensing Magazine, IEEE/anno:2020/pagina_da:91/pagina_a:119/intervallo_pagine:91–119/volume:8
Interferometric methods are drivers of the recent exponential growth in the use of synthetic aperture radar (SAR) for monitoring both natural and anthropogenic hazards. Since the first use of interferometric SAR (InSAR) in the late 1990s to detect de