ADAtools: Automatic Detection and Classification of Active Deformation Areas from PSI Displacement Maps

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Title: ADAtools: Automatic Detection and Classification of Active Deformation Areas from PSI Displacement Maps
Authors: Navarro, José A. | Tomás, Roberto | Barra, Anna | Pagán, José Ignacio | Reyes-Carmona, Cristina | Solari, Lorenzo | López-Vinielles, Juan | Falco, Salvatore | Crosetto, Michele
Research Group/s: Ingeniería del Terreno y sus Estructuras (InTerEs) | Ingeniería del Transporte, Territorio y Medio Litoral (AORTA)
Center, Department or Service: Universidad de Alicante. Departamento de Ingeniería Civil
Keywords: Software Tools | Process Automation | Ground Deformation Analysis | Ground Deformation Classification | InSAR
Knowledge Area: Ingeniería del Terreno | Ingeniería e Infraestructura de los Transportes
Issue Date: 6-Oct-2020
Publisher: MDPI
Citation: Navarro JA, Tomás R, Barra A, Pagán J, Reyes-Carmona C, Solari L, Vinielles J, Falco S, Crosetto M. ADAtools: Automatic Detection and Classification of Active Deformation Areas from PSI Displacement Maps. ISPRS International Journal of Geo-Information. 2020; 9(10):584.
Abstract: This work describes the set of tools developed, tested, and put into production in the context of the H2020 project Multi-scale Observation and Monitoring of Railway Infrastructure Threats (MOMIT). This project, which ended in 2019, aimed to show how the use of various remote sensing techniques could help to improve the monitoring of railway infrastructures, such as tracks or bridges, and thus, consequently, improve the detection of ground instabilities and facilitate their management. Several lines of work were opened by MOMIT, but the authors of this work concentrated their efforts in the design of tools to help the detection and identification of ground movements using synthetic aperture radar interferometry (InSAR) data. The main output of this activity was a set of tools able to detect the areas labelled active deformation areas (ADA), with the highest deformation rates and to connect them to a geological or anthropogenic process. ADAtools is the name given to the aforementioned set of tools. The description of these tools includes the definition of their targets, inputs, and outputs, as well as details on how the correctness of the applications was checked and on the benchmarks showing their performance. The ADAtools include the following applications: ADAfinder, los2hv, ADAclassifier, and THEXfinder. The toolset is targeted at the analysis and interpretation of InSAR results. Ancillary information supports the semi-automatic interpretation and classification process. Two real use-cases illustrating this statement are included at the end of this paper to show the kind of results that may be obtained with the ADAtools.
Sponsor: This work has received funding from the Shift2Rail Joint Undertaking under the European Union's Horizon 2020 research and innovation programme, with grant agreement No 777630, project MOMIT, “Multi-scale Observation and Monitoring of railway Infrastructure Threats”. It has been also partially funded by Interreg-Sudoe program of the EU, through the project RISKCOAST (Ref: SOE3/P4/E0868).
ISSN: 2220-9964
DOI: 10.3390/ijgi9100584
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Peer Review: si
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Appears in Collections:INV - AORTA - Artículos de Revistas
INV - INTERES - Artículos de Revistas
Research funded by the EU

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