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...
Main Authors: | , , , , , , , |
---|---|
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 |
id |
doaj-397ad559d102446b8c4ca5936f8c981b |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT guadalupebru suitabilityassessmentofxbandsatellitesardataforgeotechnicalmonitoringofsitescaleslowmovinglandslides AT joaquinescayo suitabilityassessmentofxbandsatellitesardataforgeotechnicalmonitoringofsitescaleslowmovinglandslides AT josefernandez suitabilityassessmentofxbandsatellitesardataforgeotechnicalmonitoringofsitescaleslowmovinglandslides AT jordijmallorqui suitabilityassessmentofxbandsatellitesardataforgeotechnicalmonitoringofsitescaleslowmovinglandslides AT rubeniglesias suitabilityassessmentofxbandsatellitesardataforgeotechnicalmonitoringofsitescaleslowmovinglandslides AT eugeniosansosti suitabilityassessmentofxbandsatellitesardataforgeotechnicalmonitoringofsitescaleslowmovinglandslides AT tamaraabajo suitabilityassessmentofxbandsatellitesardataforgeotechnicalmonitoringofsitescaleslowmovinglandslides AT antoniomorales suitabilityassessmentofxbandsatellitesardataforgeotechnicalmonitoringofsitescaleslowmovinglandslides |
_version_ |
1725613091637428224 |