Suitability Assessment of X-Band Satellite SAR Data for Geotechnical Monitoring of Site Scale Slow Moving Landslides

This work addresses the suitability of using X-band Synthetic Aperture Radar (SAR) data for operational geotechnical monitoring of site scale slow moving landslides, affecting urban areas and infrastructures. The scale of these studies requires high resolution data. We propose a procedure for the pr...

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Main Authors: Guadalupe Bru, Joaquin Escayo, José Fernández, Jordi J. Mallorqui, Rubén Iglesias, Eugenio Sansosti, Tamara Abajo, Antonio Morales
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/10/6/936
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spelling doaj-397ad559d102446b8c4ca5936f8c981b2020-11-24T23:08:39ZengMDPI AGRemote Sensing2072-42922018-06-0110693610.3390/rs10060936rs10060936Suitability Assessment of X-Band Satellite SAR Data for Geotechnical Monitoring of Site Scale Slow Moving LandslidesGuadalupe Bru0Joaquin Escayo1José Fernández2Jordi J. Mallorqui3Rubén Iglesias4Eugenio Sansosti5Tamara Abajo6Antonio Morales7Instituto de Geociencias, CSIC-UCM, Fac. C. Matemáticas, Plaza de Ciencias, 3, 28040 Madrid, SpainInstituto de Geociencias, CSIC-UCM, Fac. C. Matemáticas, Plaza de Ciencias, 3, 28040 Madrid, SpainInstituto de Geociencias, CSIC-UCM, Fac. C. Matemáticas, Plaza de Ciencias, 3, 28040 Madrid, SpainCommSensLab, Departament de Teoria del Senyal i Comunicacions, D3-Campus Nord, Universitat Politècnica de Catalunya, UPC, 08034 Barcelona, SpainDares Technology, C/Esteve Terradas, 1, Building RDIT, office 118, Parc UPC-PMT, 08860 Castelldefels, SpainIstituto per il Rilevamento Elettromagnetico dell’Ambiente, National Research Council (CNR) of Italy, via Diocleziano, 328, 80124 Naples, ItalyInstituto de Geociencias, CSIC-UCM, Fac. C. Matemáticas, Plaza de Ciencias, 3, 28040 Madrid, SpainTPF Getinsa-Euroestudios, C/Ramón de Aguinaga, 8, 28028 Madrid, SpainThis work addresses the suitability of using X-band Synthetic Aperture Radar (SAR) data for operational geotechnical monitoring of site scale slow moving landslides, affecting urban areas and infrastructures. The scale of these studies requires high resolution data. We propose a procedure for the practical use of SAR data in geotechnical landslides campaigns, that includes an appropriate dataset selection taking into account the scenario characteristics, a visibility analysis, and considerations when comparing advanced differential SAR interferometry (A-DInSAR) results with other monitoring techniques. We have determined that Sentinel-2 satellite optical images are suited for performing high resolution land cover classifications, which results in the achievement of qualitative visibility maps. We also concluded that A-DInSAR is a very powerful and versatile tool for detailed scale landslide monitoring, although in combination with other instrumentation techniques.http://www.mdpi.com/2072-4292/10/6/936A-DInSARgeotechnical monitoringsite scaleslow moving landslidesland cover classificationSentinel-2 optical
collection DOAJ
language English
format Article
sources DOAJ
author Guadalupe Bru
Joaquin Escayo
José Fernández
Jordi J. Mallorqui
Rubén Iglesias
Eugenio Sansosti
Tamara Abajo
Antonio Morales
spellingShingle Guadalupe Bru
Joaquin Escayo
José Fernández
Jordi J. Mallorqui
Rubén Iglesias
Eugenio Sansosti
Tamara Abajo
Antonio Morales
Suitability Assessment of X-Band Satellite SAR Data for Geotechnical Monitoring of Site Scale Slow Moving Landslides
Remote Sensing
A-DInSAR
geotechnical monitoring
site scale
slow moving landslides
land cover classification
Sentinel-2 optical
author_facet Guadalupe Bru
Joaquin Escayo
José Fernández
Jordi J. Mallorqui
Rubén Iglesias
Eugenio Sansosti
Tamara Abajo
Antonio Morales
author_sort Guadalupe Bru
title Suitability Assessment of X-Band Satellite SAR Data for Geotechnical Monitoring of Site Scale Slow Moving Landslides
title_short Suitability Assessment of X-Band Satellite SAR Data for Geotechnical Monitoring of Site Scale Slow Moving Landslides
title_full Suitability Assessment of X-Band Satellite SAR Data for Geotechnical Monitoring of Site Scale Slow Moving Landslides
title_fullStr Suitability Assessment of X-Band Satellite SAR Data for Geotechnical Monitoring of Site Scale Slow Moving Landslides
title_full_unstemmed Suitability Assessment of X-Band Satellite SAR Data for Geotechnical Monitoring of Site Scale Slow Moving Landslides
title_sort suitability assessment of x-band satellite sar data for geotechnical monitoring of site scale slow moving landslides
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2018-06-01
description This work addresses the suitability of using X-band Synthetic Aperture Radar (SAR) data for operational geotechnical monitoring of site scale slow moving landslides, affecting urban areas and infrastructures. The scale of these studies requires high resolution data. We propose a procedure for the practical use of SAR data in geotechnical landslides campaigns, that includes an appropriate dataset selection taking into account the scenario characteristics, a visibility analysis, and considerations when comparing advanced differential SAR interferometry (A-DInSAR) results with other monitoring techniques. We have determined that Sentinel-2 satellite optical images are suited for performing high resolution land cover classifications, which results in the achievement of qualitative visibility maps. We also concluded that A-DInSAR is a very powerful and versatile tool for detailed scale landslide monitoring, although in combination with other instrumentation techniques.
topic A-DInSAR
geotechnical monitoring
site scale
slow moving landslides
land cover classification
Sentinel-2 optical
url http://www.mdpi.com/2072-4292/10/6/936
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