Výsledky vyhledávání - "Stefano Elefante"

Akademický článek

A Cloud Computing Solution for the Efficient Implementation of the P-SBAS DInSAR Approach

Autor: Ivana Zinno, Francesco Casu, Claudio De Luca, Stefano Elefante, Riccardo Lanari, Michele Manunta

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 10, Iss 3, Pp 802-817 (2017)

We present an efficient Cloud Computing (CC) implementation of the Parallel Small BAseline Subset (P-SBAS) algorithm, which is an advanced Differential Interferometric Synthetic Aperture Radar (DInSAR) technique for the generation of Earth surface di

Externí odkaz: https://doaj.org/article/2a02ee55fe0e47299b9626583f94f313

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Akademický článek

An On-Demand Web Tool for the Unsupervised Retrieval of Earth’s Surface Deformation from SAR Data: The P-SBAS Service within the ESA G-POD Environment

Autor: Claudio De Luca, Roberto Cuccu, Stefano Elefante, Ivana Zinno, Michele Manunta, Valentina Casola, Giancarlo Rivolta, Riccardo Lanari, Francesco Casu

Publikováno v: Remote Sensing, Vol 7, Iss 11, Pp 15630-15650 (2015)

This paper presents a web tool for the unsupervised retrieval of Earth’s surface deformation from Synthetic Aperture Radar (SAR) satellite data. The system is based on the implementation of the Differential SAR Interferometry (DInSAR) algorithm ref

Externí odkaz: https://doaj.org/article/7285082066b3460998843d4514b5c88b

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Akademický článek

A First Assessment of the P-SBAS DInSAR Algorithm Performances Within a Cloud Computing Environment

Autor: Ivana Zinno, Stefano Elefante, Lorenzo Mossucca, Claudio De Luca, Michele Manunta, Olivier Terzo, Riccardo Lanari, Francesco Casu

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 8, Iss 10, Pp 4675-4686 (2015)

We present in this work a first performance assessment of the Parallel Small BAseline Subset (P-SBAS) algorithm, for the generation of Differential Synthetic Aperture Radar (SAR) Interferometry (DInSAR) deformation maps and time series, which has bee

Externí odkaz: https://doaj.org/article/431cdd8248354c6e8180ba9fbbb03620

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Development of an Earth Observation Cloud Platform in Support to Water Resources Monitoring

Autor: Wolfgang Wagner, Vahid Naeimi, Christian Briese, Andreea Bucur, Stefano Elefante

Publikováno v: Earth Observation Open Science and Innovation ISBN: 9783319656328

Multi-decadal data sets are already available from various types of EO sensors, but their effective exploitation is hindered by the lack of data centres which offer dedicated EO processing chains and high-performance processing (HPC) capabilities. Re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6708e7feed1832c44a377c26c1afdf58
https://doi.org/10.1007/978-3-319-65633-5_14

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A Cloud Computing Solution for the Efficient Implementation of the P-SBAS DInSAR Approach

Autor: Francesco Casu, Michele Manunta, Stefano Elefante, Riccardo Lanari, Claudio De Luca, Ivana Zinno

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE journal of selected topics in applied earth observations and remote sensing
(2016). doi:10.1109/JSTARS.2016.2598397
info:cnr-pdr/source/autori:Zinno, Ivana; Casu, Francesco; De Luca, Claudio; Elefante, Stefano; Lanari, Riccardo; Manunta, Michele/titolo:A Cloud Computing Solution for the Efficient Implementation of the P-SBAS DInSAR Approach/doi:10.1109%2FJSTARS.2016.2598397/rivista:IEEE journal of selected topics in applied earth observations and remote sensing (Print)/anno:2016/pagina_da:/pagina_a:/intervallo_pagine:/volume
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 10, Iss 3, Pp 802-817 (2017)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2633d5db0ffc1887909e9ffe35ce4c7d

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Geocoding uncertainty analysis for the automated processing of Sentinel-1 data using Sentinel-1 Toolbox software

Autor: Wolfgang Wagner, Senmao Cao, Alena Dostálová, Vahid Naeimi, Stefano Elefante, Henrik J. Persson

Publikováno v: SPIE Proceedings.

One of the major advantages of the Sentinel-1 data is its capability to provide very high spatio-temporal coverage allowing the mapping of large areas as well as creation of dense time-series of the Sentinel-1 acquisitions. The SGRT software develope

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::969a50b0f43a04d56411522cb5c2857e
https://doi.org/10.1117/12.2240840

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Detection of glaciers displacement time-series using SAR

Autor: Pablo A. Euillades, Lucas Ruiz, Sebastián Balbarani, Pierre Pitte, Stefano Elefante, Francesco Casu, Natalia Cecilia Riveros, Mariano H. Masiokas, Leonardo D. Euillades

Publikováno v: Remote sensing of environment 184 (2016): 188–198. doi:10.1016/j.rse.2016.07.003
info:cnr-pdr/source/autori:Euillades, Leonardo D.; Euillades, Pablo A.; Riveros, Natalia C.; Masiokas, Mariano H.; Ruiz, Lucas; Pitte, Pierre; Elefante, Stefano; Casu, Francesco; Balbarani, Sebastian/titolo:Detection of glaciers displacement time-series using SAR/doi:10.1016%2Fj.rse.2016.07.003/rivista:Remote sensing of environment/anno:2016/pagina_da:188/pagina_a:198/intervallo_pagine:188–198/volume:184

Glaciers are sensitive indicators of climate change. Particularly, glacier surface velocity constitutes a key parameter for estimating ice volume variations as response to global warming and its incidence in sea level rise. Several methodologies base

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4632064685d053c6c099d9e2cb11ca43
https://www.sciencedirect.com/science/article/pii/S0034425716302607

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Cloud computing for earth surface deformation analysis via spaceborne radar imaging: A case study

Autor: Francesco Casu, Ivana Zinno, Stefano Elefante, C. De Luca, Lorenzo Mossucca, Olivier Terzo, Riccardo Lanari, Valentina Casola

Publikováno v: IEEE Transactions on Cloud Computing 4 (2016): 104–118. doi:10.1109/TCC.2015.2440267
info:cnr-pdr/source/autori:Zinno I.; Mossucca L.; Elefante S.; De Luca C.; Casola V.; Terzo O.; Casu F.; Lanari R./titolo:Cloud computing for earth surface deformation analysis via spaceborne radar imaging: A case study/doi:10.1109%2FTCC.2015.2440267/rivista:IEEE Transactions on Cloud Computing/anno:2016/pagina_da:104/pagina_a:118/intervallo_pagine:104–118/volume:4

We present a case study on the migration to a Cloud Computing environment of the advanced differential synthetic aperture radar interferometry (DInSAR) technique, referred to as Small BAseline Subset (SBAS), which is widely used for the investigation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cf4ab014514c0847298f5133352de65
http://hdl.handle.net/11588/653769

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Big DInSAR data processing through the P-SBAS algorithm

Autor: Stefano Elefante, Riccardo Lanari, Francesco Casu, Ivana Zinno, Michele Manunta, C. De Luca

Publikováno v: IGARSS

In the present radar remote sensing scenario, the huge availability of SAR data acquired by a number of satellite constellations is a key point for investigating Earth's surface at large scale. In particular, techniques as Differential SAR Interferom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::328743c69e0855a522467cededadc628
https://doi.org/10.1109/igarss.2015.7326369

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Surface displacement time series retrieved by fully exploiting space-borne SAR data

Autor: Ivana Zinno, Andrea Manconi, Francesco Casu, Stefano Elefante

Publikováno v: pp. 417–420, 2015
info:cnr-pdr/source/autori:Casu F.; Manconi A.; Elefante S.; Zinno I./titolo:Surface displacement time series retrieved by fully exploiting space-borne SAR data/titolo_volume:/curatori_volume:/editore:/anno:2015
Engineering Geology for Society and Territory-Volume 2 ISBN: 9783319090566

We present two applications of a novel approach to analyze surface deformation in areas experiencing large and/or rapid surface displacements. We show how the joint consideration of the phase and amplitude information of a space-borne Synthetic Apert

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a6be0653f11fbccd18c8960f7cd3004
http://www.cnr.it/prodotto/i/345668

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