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description Publicationkeyboard_double_arrow_right Conference object , Other literature type 2020 EnglishPublisher:Zenodo Funded by:EC | OpenAIRE-Advance, EC | NEANIASEC| OpenAIRE-Advance ,EC| NEANIASAuthors: Papadopoulou, Elli; Kakaletris, George; Tziotzios, Diamadis;Papadopoulou, Elli; Kakaletris, George; Tziotzios, Diamadis;The poster was presented at the 16th RDA Plenary (virtual) between 9 and 11 November 2020. The poster introduces Argos (argos.openaire.eu), OpenAIRE’s service for machine actionable Data Management Plans (DMPs), and presents the steps followed to adopt the RDA DMP Common Standard (https://github.com/RDA-DMP-Common/RDA-DMP-Common-Standard). It starts with providing an overview of the Argos model to later highlight the parts where compliance with the standard is met. As a first step, it shows the outcome of a mapping activity performed between Argos data model and the RDA standard to identify commonalities and differences in their entities and properties. The poster, then, lists the challenges faced throughout the adoption process and explains the actions taken to overcome them. Among other things, new entities were created in the Argos data model and tweaks were made on some functionalities. Moreover, the poster mentions participation at the RDA Hackathon on maDMPs (https://github.com/RDA-DMP-Common/hackathon-2020) and reports activities performed and observations made by the Argos team, aka DMP Ninjas. Finally, the poster informs about preliminary results of Argos integrations with the OpenAIRE ecosystem, particularly in exposing and exploiting DMPs through the OpenAIRE Research Graph (https://graph.openaire.eu/).
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4278005&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 449visibility views 449 download downloads 233 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4278005&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 ItalyPublisher:MDPI AG Funded by:EC | ENVRI-FAIR, EC | OpenAIRE-Advance, EC | EOSC-hub +1 projectsEC| ENVRI-FAIR ,EC| OpenAIRE-Advance ,EC| EOSC-hub ,EC| EPOS SPFernando Monterroso; Manuela Bonano; Claudio De Luca; Riccardo Lanari; Michele Manunta; Mariarosaria Manzo; Giovanni Onorato; Ivana Zinno; Francesco Casu;doi: 10.3390/rs12193189
We present an automatic and unsupervised tool for the systematic generation of Sentinel-1 (S1) differential synthetic aperture radar interferometry (DInSAR) coseismic products. In particular, the tool first retrieves the location, depth, and magnitude of every seismic event from interoperable online earthquake catalogs (e.g., the United States Geological Survey (USGS) and the Italian National Institute of Geophysics and Volcanology (INGV) and then, for significant (with respect to a set of selected thresholds) earthquakes, it automatically triggers the downloading of S1 data and their interferometric processing over the area affected by the earthquake. The automatic system we developed has also been implemented within a Cloud-Computing (CC) environment, specifically the Amazon Web Services, with the aim of creating a global database of DInSAR S1 coseismic products, which consist of displacement maps and the associated wrapped interferograms and spatial coherences. This information will progressively be made freely available through the European Plate Observing System (EPOS) Research Infrastructure, thus providing the scientific community with a large catalog of DInSAR data that can be helpful for investigating the dynamics of surface deformation in the seismic zones around the Earth. The developed tool can also support national and local authorities during seismic crises by quickly providing information on the surface deformation induced by earthquakes.
Remote Sensing arrow_drop_down Remote SensingOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2072-4292/12/19/3189/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs12193189&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Remote Sensing arrow_drop_down Remote SensingOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2072-4292/12/19/3189/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs12193189&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 ItalyPublisher:MDPI AG Funded by:EC | EPOS SP, EC | ENVRI-FAIR, EC | OpenAIRE-Advance +1 projectsEC| EPOS SP ,EC| ENVRI-FAIR ,EC| OpenAIRE-Advance ,EC| EOSC-hubRiccardo Lanari; Manuela Bonano; Francesco Casu; Claudio De Luca; Michele Manunta; Mariarosaria Manzo; Giovanni Onorato; Ivana Zinno;doi: 10.3390/rs12182961
We present in this work an advanced processing pipeline for continental scale differential synthetic aperture radar (DInSAR) deformation time series generation, which is based on the parallel small baseline subset (P-SBAS) approach and on the joint exploitation of Sentinel-1 (S-1) interferometric wide swath (IWS) SAR data, continuous global navigation satellite system (GNSS) position time-series, and cloud computing (CC) resources. We first briefly describe the basic rationale of the adopted P-SBAS processing approach, tailored to deal with S-1 IWS SAR data and to be implemented in a CC environment, highlighting the innovative solutions that have been introduced in the processing chain we present. They mainly consist in a series of procedures that properly exploit the available GNSS time series with the aim of identifying and filtering out possible residual atmospheric artifacts that may affect the DInSAR measurements. Moreover, significant efforts have been carried out to improve the P-SBAS processing pipeline automation and robustness, which represent crucial issues for interferometric continental scale analysis. Then, a massive experimental analysis is presented. In this case, we exploit: (i) the whole archive of S-1 IWS SAR images acquired over a large portion of Europe, from descending orbits, (ii) the continuous GNSS position time series provided by the Nevada Geodetic Laboratory at the University of Nevada, Reno, USA (UNR-NGL) available for the investigated area, and (iii) the ONDA platform, one of the Copernicus Data and Information Access Services (DIAS). The achieved results demonstrate the capability of the proposed solution to successfully retrieve the DInSAR time series relevant to such a huge area, opening new scenarios for the analysis and interpretation of these ground deformation measurements.
Remote Sensing arrow_drop_down Remote SensingOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2072-4292/12/18/2961/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs12182961&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 43 citations 43 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Remote Sensing arrow_drop_down Remote SensingOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2072-4292/12/18/2961/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs12182961&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
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description Publicationkeyboard_double_arrow_right Conference object , Other literature type 2020 EnglishPublisher:Zenodo Funded by:EC | OpenAIRE-Advance, EC | NEANIASEC| OpenAIRE-Advance ,EC| NEANIASAuthors: Papadopoulou, Elli; Kakaletris, George; Tziotzios, Diamadis;Papadopoulou, Elli; Kakaletris, George; Tziotzios, Diamadis;The poster was presented at the 16th RDA Plenary (virtual) between 9 and 11 November 2020. The poster introduces Argos (argos.openaire.eu), OpenAIRE’s service for machine actionable Data Management Plans (DMPs), and presents the steps followed to adopt the RDA DMP Common Standard (https://github.com/RDA-DMP-Common/RDA-DMP-Common-Standard). It starts with providing an overview of the Argos model to later highlight the parts where compliance with the standard is met. As a first step, it shows the outcome of a mapping activity performed between Argos data model and the RDA standard to identify commonalities and differences in their entities and properties. The poster, then, lists the challenges faced throughout the adoption process and explains the actions taken to overcome them. Among other things, new entities were created in the Argos data model and tweaks were made on some functionalities. Moreover, the poster mentions participation at the RDA Hackathon on maDMPs (https://github.com/RDA-DMP-Common/hackathon-2020) and reports activities performed and observations made by the Argos team, aka DMP Ninjas. Finally, the poster informs about preliminary results of Argos integrations with the OpenAIRE ecosystem, particularly in exposing and exploiting DMPs through the OpenAIRE Research Graph (https://graph.openaire.eu/).
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4278005&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 449visibility views 449 download downloads 233 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4278005&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 ItalyPublisher:MDPI AG Funded by:EC | ENVRI-FAIR, EC | OpenAIRE-Advance, EC | EOSC-hub +1 projectsEC| ENVRI-FAIR ,EC| OpenAIRE-Advance ,EC| EOSC-hub ,EC| EPOS SPFernando Monterroso; Manuela Bonano; Claudio De Luca; Riccardo Lanari; Michele Manunta; Mariarosaria Manzo; Giovanni Onorato; Ivana Zinno; Francesco Casu;doi: 10.3390/rs12193189
We present an automatic and unsupervised tool for the systematic generation of Sentinel-1 (S1) differential synthetic aperture radar interferometry (DInSAR) coseismic products. In particular, the tool first retrieves the location, depth, and magnitude of every seismic event from interoperable online earthquake catalogs (e.g., the United States Geological Survey (USGS) and the Italian National Institute of Geophysics and Volcanology (INGV) and then, for significant (with respect to a set of selected thresholds) earthquakes, it automatically triggers the downloading of S1 data and their interferometric processing over the area affected by the earthquake. The automatic system we developed has also been implemented within a Cloud-Computing (CC) environment, specifically the Amazon Web Services, with the aim of creating a global database of DInSAR S1 coseismic products, which consist of displacement maps and the associated wrapped interferograms and spatial coherences. This information will progressively be made freely available through the European Plate Observing System (EPOS) Research Infrastructure, thus providing the scientific community with a large catalog of DInSAR data that can be helpful for investigating the dynamics of surface deformation in the seismic zones around the Earth. The developed tool can also support national and local authorities during seismic crises by quickly providing information on the surface deformation induced by earthquakes.
Remote Sensing arrow_drop_down Remote SensingOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2072-4292/12/19/3189/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs12193189&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Remote Sensing arrow_drop_down Remote SensingOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2072-4292/12/19/3189/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs12193189&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 ItalyPublisher:MDPI AG Funded by:EC | EPOS SP, EC | ENVRI-FAIR, EC | OpenAIRE-Advance +1 projectsEC| EPOS SP ,EC| ENVRI-FAIR ,EC| OpenAIRE-Advance ,EC| EOSC-hubRiccardo Lanari; Manuela Bonano; Francesco Casu; Claudio De Luca; Michele Manunta; Mariarosaria Manzo; Giovanni Onorato; Ivana Zinno;doi: 10.3390/rs12182961
We present in this work an advanced processing pipeline for continental scale differential synthetic aperture radar (DInSAR) deformation time series generation, which is based on the parallel small baseline subset (P-SBAS) approach and on the joint exploitation of Sentinel-1 (S-1) interferometric wide swath (IWS) SAR data, continuous global navigation satellite system (GNSS) position time-series, and cloud computing (CC) resources. We first briefly describe the basic rationale of the adopted P-SBAS processing approach, tailored to deal with S-1 IWS SAR data and to be implemented in a CC environment, highlighting the innovative solutions that have been introduced in the processing chain we present. They mainly consist in a series of procedures that properly exploit the available GNSS time series with the aim of identifying and filtering out possible residual atmospheric artifacts that may affect the DInSAR measurements. Moreover, significant efforts have been carried out to improve the P-SBAS processing pipeline automation and robustness, which represent crucial issues for interferometric continental scale analysis. Then, a massive experimental analysis is presented. In this case, we exploit: (i) the whole archive of S-1 IWS SAR images acquired over a large portion of Europe, from descending orbits, (ii) the continuous GNSS position time series provided by the Nevada Geodetic Laboratory at the University of Nevada, Reno, USA (UNR-NGL) available for the investigated area, and (iii) the ONDA platform, one of the Copernicus Data and Information Access Services (DIAS). The achieved results demonstrate the capability of the proposed solution to successfully retrieve the DInSAR time series relevant to such a huge area, opening new scenarios for the analysis and interpretation of these ground deformation measurements.
Remote Sensing arrow_drop_down Remote SensingOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2072-4292/12/18/2961/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs12182961&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 43 citations 43 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Remote Sensing arrow_drop_down Remote SensingOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2072-4292/12/18/2961/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs12182961&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu