A Toolset to Detect and Classify Active Deformation Areas using Interferometric SAR Data

José Navarro, María Cuevas, Roberto Tomás, Anna Barra, Michele Crosetto

Abstract

The MOMIT project is targeted at showing how remote sensing techniques may help to monitor and then maintain railway infrastructures. This project has defined several demostrators to fulfill such goal. The authors have been involved in the design and development of several sofware tools needed to implement the first demonstrator, dealing with ground movements nearby the railway infrastructures. Among these tools, ADAfinder, ADAclassifier and los2hv have been developed at the CTTC. The aim of ADAfinder is to detect —and update— areas where active deformation processes are taking place; ADAclassifier is targeted at identifying the kind of processes undergone by such areas; finally, los2hv is a tool computing the horizontal and vertical components of the movement measured along a line of sight. This paper takes care of describing these three application, in the context of the MOMIT project, not forgetting the benefits derived from the automation of the methodologies they rely on. The formal testing process of the tools as well as some results obtained with real datasets are also presented.

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Paper Citation


in Harvard Style

Navarro J., Cuevas M., Tomás R., Barra A. and Crosetto M. (2019). A Toolset to Detect and Classify Active Deformation Areas using Interferometric SAR Data.In Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-371-1, pages 167-174. DOI: 10.5220/0007617701670174


in Bibtex Style

@conference{gistam19,
author={José Navarro and María Cuevas and Roberto Tomás and Anna Barra and Michele Crosetto},
title={A Toolset to Detect and Classify Active Deformation Areas using Interferometric SAR Data},
booktitle={Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2019},
pages={167-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007617701670174},
isbn={978-989-758-371-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - A Toolset to Detect and Classify Active Deformation Areas using Interferometric SAR Data
SN - 978-989-758-371-1
AU - Navarro J.
AU - Cuevas M.
AU - Tomás R.
AU - Barra A.
AU - Crosetto M.
PY - 2019
SP - 167
EP - 174
DO - 10.5220/0007617701670174