Nationwide, Operational Sentinel-1 Based InSAR Monitoring System in the Cloud for Strategic Water Facilities in Hungary

The intensive development of both interferometric technology and sensors in recent years allows Interferometric Synthetic Aperture Radar (InSAR)-based applications to be accessible to a growing number of users. InSAR-based services now cover entire countries and soon even the whole of Europe. These...

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Main Authors: Levente Ronczyk, András Zelenka-Hegyi, Gábor Török, Zoltán Orbán, Marco Defilippi, István Péter Kovács, Dániel Márton Kovács, Péter Burai, Paolo Pasquali
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/14/3251
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author Levente Ronczyk
András Zelenka-Hegyi
Gábor Török
Zoltán Orbán
Marco Defilippi
István Péter Kovács
Dániel Márton Kovács
Péter Burai
Paolo Pasquali
author_facet Levente Ronczyk
András Zelenka-Hegyi
Gábor Török
Zoltán Orbán
Marco Defilippi
István Péter Kovács
Dániel Márton Kovács
Péter Burai
Paolo Pasquali
author_sort Levente Ronczyk
collection DOAJ
description The intensive development of both interferometric technology and sensors in recent years allows Interferometric Synthetic Aperture Radar (InSAR)-based applications to be accessible to a growing number of users. InSAR-based services now cover entire countries and soon even the whole of Europe. These InSAR systems require massive amounts of computer processing power and significant time to generate a final product. Most, if not all, of these projects have a limited “monitoring component”, aimed at historical analysis but are rarely, if ever, updated. Consequently, the results do not necessarily meet every purpose or specific user requirement. It is now clear that the increasing computing capacity and big data provided by the sensors have initiated the development of new InSAR services. However, these systems are only useful when linked to specific real-world operational problems. Continuous monitoring of a country’s ageing water management infrastructure has become an increasingly critical issue in recent years, in addition to the threats posed by climate change. Our article provides a comprehensive overview of a nationwide, dedicated, operational InSAR application, which was developed to support the operational work of the Hungarian Disaster Management Service (HDMS). The objective was to provide monthly monitoring of 63 water facilities, including 83 individual objects, distributed throughout Hungary, in combination with the development of a near real-time warning system. Our work involved the compilation of a completely new InSAR System as a Service (SaaS) which incorporates user requirements, preparatory work, the compilation of the Sentinel-1 automatic processing pipeline, the installation of corner reflectors, a special early warning system, and a dedicated user interface. The developed system can automatically start to evaluate the S1 measurements within 24 h of downloading the data into the system storage forward the results toward the warning system before the next image arrives. Users are provided with detailed information on the stability of 70% of the 83 water facility objects monitored through the dedicated user interface. The additional early warning system currently operates as a preliminary “spatial decision support system”, but the HDMS is willing to make it fully operational over the next few years.
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spelling doaj.art-76496e88c83846b988bc0b24bcb8bc6c2023-12-03T12:10:06ZengMDPI AGRemote Sensing2072-42922022-07-011414325110.3390/rs14143251Nationwide, Operational Sentinel-1 Based InSAR Monitoring System in the Cloud for Strategic Water Facilities in HungaryLevente Ronczyk0András Zelenka-Hegyi1Gábor Török2Zoltán Orbán3Marco Defilippi4István Péter Kovács5Dániel Márton Kovács6Péter Burai7Paolo Pasquali8Department of Cartography and GIS, Institute of Geography and Earth Sciences, University of Pécs, 7624 Pécs, HungaryIndependent Researcher, 7624 Pécs, HungaryIndependent Researcher, 7624 Pécs, HungaryStructural Diagnostics and Analysis Research Group, Faculty of Engineering and Information Technology, University of Pécs, 7624 Pécs, HungarySarmap S.A., 6987 Caslano, SwitzerlandDepartment of Cartography and GIS, Institute of Geography and Earth Sciences, University of Pécs, 7624 Pécs, HungaryDoctoral School of Earth Sciences, University of Pécs, 7624 Pécs, HungaryRemote Sensing Centre, University of Debrecen, 4032 Debrecen, HungarySarmap S.A., 6987 Caslano, SwitzerlandThe intensive development of both interferometric technology and sensors in recent years allows Interferometric Synthetic Aperture Radar (InSAR)-based applications to be accessible to a growing number of users. InSAR-based services now cover entire countries and soon even the whole of Europe. These InSAR systems require massive amounts of computer processing power and significant time to generate a final product. Most, if not all, of these projects have a limited “monitoring component”, aimed at historical analysis but are rarely, if ever, updated. Consequently, the results do not necessarily meet every purpose or specific user requirement. It is now clear that the increasing computing capacity and big data provided by the sensors have initiated the development of new InSAR services. However, these systems are only useful when linked to specific real-world operational problems. Continuous monitoring of a country’s ageing water management infrastructure has become an increasingly critical issue in recent years, in addition to the threats posed by climate change. Our article provides a comprehensive overview of a nationwide, dedicated, operational InSAR application, which was developed to support the operational work of the Hungarian Disaster Management Service (HDMS). The objective was to provide monthly monitoring of 63 water facilities, including 83 individual objects, distributed throughout Hungary, in combination with the development of a near real-time warning system. Our work involved the compilation of a completely new InSAR System as a Service (SaaS) which incorporates user requirements, preparatory work, the compilation of the Sentinel-1 automatic processing pipeline, the installation of corner reflectors, a special early warning system, and a dedicated user interface. The developed system can automatically start to evaluate the S1 measurements within 24 h of downloading the data into the system storage forward the results toward the warning system before the next image arrives. Users are provided with detailed information on the stability of 70% of the 83 water facility objects monitored through the dedicated user interface. The additional early warning system currently operates as a preliminary “spatial decision support system”, but the HDMS is willing to make it fully operational over the next few years.https://www.mdpi.com/2072-4292/14/14/3251nationwideInSARmonitoringHungarywater facilitiesDevOps
spellingShingle Levente Ronczyk
András Zelenka-Hegyi
Gábor Török
Zoltán Orbán
Marco Defilippi
István Péter Kovács
Dániel Márton Kovács
Péter Burai
Paolo Pasquali
Nationwide, Operational Sentinel-1 Based InSAR Monitoring System in the Cloud for Strategic Water Facilities in Hungary
Remote Sensing
nationwide
InSAR
monitoring
Hungary
water facilities
DevOps
title Nationwide, Operational Sentinel-1 Based InSAR Monitoring System in the Cloud for Strategic Water Facilities in Hungary
title_full Nationwide, Operational Sentinel-1 Based InSAR Monitoring System in the Cloud for Strategic Water Facilities in Hungary
title_fullStr Nationwide, Operational Sentinel-1 Based InSAR Monitoring System in the Cloud for Strategic Water Facilities in Hungary
title_full_unstemmed Nationwide, Operational Sentinel-1 Based InSAR Monitoring System in the Cloud for Strategic Water Facilities in Hungary
title_short Nationwide, Operational Sentinel-1 Based InSAR Monitoring System in the Cloud for Strategic Water Facilities in Hungary
title_sort nationwide operational sentinel 1 based insar monitoring system in the cloud for strategic water facilities in hungary
topic nationwide
InSAR
monitoring
Hungary
water facilities
DevOps
url https://www.mdpi.com/2072-4292/14/14/3251
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