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Open AccessArticle

remotIO: A Sentinel-1 Multi-Temporal InSAR Infrastructure Monitoring Service with Automatic Updates and Data Mining Capabilities

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Insar.sk Ltd., Lesna 35, 08001 Presov, Slovakia
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Department of Environmental Management, Faculty of Management, University of Presov in Presov, 08001 Presov, Slovakia
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Department of Theoretical Geodesy, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, 81105 Bratislava, Slovakia
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RASER Limited, Unit 609, 9Wing Hong Street, Lai Chi Kok, Hong Kong, China
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Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(11), 1892; https://doi.org/10.3390/rs12111892
Received: 30 April 2020 / Revised: 5 June 2020 / Accepted: 7 June 2020 / Published: 11 June 2020
Multi-temporal synthetic aperture radar interferometry (MT-InSAR) is nowadays a well-developed remote sensing technique for monitoring of Earth’s surface deformation. The availability of regular and open Copernicus Sentinel-1 satellite data with enhanced spatiotemporal coverage has recently stimulated several initiatives for development of new monitoring services which can help to respond to emergencies faster and apply resilience measures more accurately as compared to conventional ground-based techniques. In this paper, the alpha version of the remotIO (Retrieval of Motions and Potential Deformation Threats) system is presented. It is currently able to provide continuous and autonomous updates of MT-InSAR results and post-processing methodology over sites with active deformation hazards to ease the interpretation and facilitate decision-supporting tools for on-time situational awareness. Our post-processing approach implemented in remotIO’s web application has proven to be useful in filtering the resultant deformation maps and in pinpointing problematic zones with potential ground deformation threats also over low-coherent areas. View Full-Text
Keywords: synthetic aperture radar interferometry (InSAR); critical infrastructure monitoring; deformation monitoring; ground displacement; landslides; subsidence; early warning; data mining; outlier detection; automatic updates; structural health monitoring synthetic aperture radar interferometry (InSAR); critical infrastructure monitoring; deformation monitoring; ground displacement; landslides; subsidence; early warning; data mining; outlier detection; automatic updates; structural health monitoring
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MDPI and ACS Style

Bakon, M.; Czikhardt, R.; Papco, J.; Barlak, J.; Rovnak, M.; Adamisin, P.; Perissin, D. remotIO: A Sentinel-1 Multi-Temporal InSAR Infrastructure Monitoring Service with Automatic Updates and Data Mining Capabilities. Remote Sens. 2020, 12, 1892.

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