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Article

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

1
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Av. Carl Friedrich Gauss 7, 08860 Castelldefels, Spain
2
Dpto. de Ingeniería Civil, Escuela Politécnica Superior de Alicante, Universidad de Alicante, P.O. Box 99, E-03080 Alicante, Spain
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Geohazards InSAR Laboratory and Modeling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Alenza 1, 28003 Madrid, Spain
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HEMAV SL, Carrer d’Esteve Terrades 1, 08860 Castelldefels, Spain
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e-GEOS—An ASI/Telespazio Company, 00156 Rome, Italy
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(10), 584; https://doi.org/10.3390/ijgi9100584
Received: 1 September 2020 / Revised: 28 September 2020 / Accepted: 4 October 2020 / Published: 6 October 2020
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. View Full-Text
Keywords: software tools; process automation; ground deformation analysis; ground deformation classification; InSAR software tools; process automation; ground deformation analysis; ground deformation classification; InSAR
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MDPI and ACS Style

Navarro, J.A.; Tomás, R.; Barra, A.; Pagán, J.I.; Reyes-Carmona, C.; Solari, L.; Vinielles, J.L.; Falco, S.; Crosetto, M. ADAtools: Automatic Detection and Classification of Active Deformation Areas from PSI Displacement Maps. ISPRS Int. J. Geo-Inf. 2020, 9, 584. https://doi.org/10.3390/ijgi9100584

AMA Style

Navarro JA, Tomás R, Barra A, Pagán JI, Reyes-Carmona C, Solari L, Vinielles JL, 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. https://doi.org/10.3390/ijgi9100584

Chicago/Turabian Style

Navarro, J. A., R. Tomás, A. Barra, J. I. Pagán, C. Reyes-Carmona, L. Solari, J. L. Vinielles, S. Falco, and M. Crosetto 2020. "ADAtools: Automatic Detection and Classification of Active Deformation Areas from PSI Displacement Maps" ISPRS International Journal of Geo-Information 9, no. 10: 584. https://doi.org/10.3390/ijgi9100584

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