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Open AccessArticle

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

1
Instituto de Geociencias, CSIC-UCM, Fac. C. Matemáticas, Plaza de Ciencias, 3, 28040 Madrid, Spain
2
CommSensLab, Departament de Teoria del Senyal i Comunicacions, D3-Campus Nord, Universitat Politècnica de Catalunya, UPC, 08034 Barcelona, Spain
3
Dares Technology, C/Esteve Terradas, 1, Building RDIT, office 118, Parc UPC-PMT, 08860 Castelldefels, Spain
4
Istituto per il Rilevamento Elettromagnetico dell’Ambiente, National Research Council (CNR) of Italy, via Diocleziano, 328, 80124 Naples, Italy
5
TPF Getinsa-Euroestudios, C/Ramón de Aguinaga, 8, 28028 Madrid, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(6), 936; https://doi.org/10.3390/rs10060936
Received: 27 April 2018 / Revised: 1 June 2018 / Accepted: 11 June 2018 / Published: 13 June 2018
(This article belongs to the Special Issue Landslide Hazard and Risk Assessment)
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. View Full-Text
Keywords: A-DInSAR; geotechnical monitoring; site scale; slow moving landslides; land cover classification; Sentinel-2 optical A-DInSAR; geotechnical monitoring; site scale; slow moving landslides; land cover classification; Sentinel-2 optical
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MDPI and ACS Style

Bru, G.; Escayo, J.; Fernández, J.; Mallorqui, J.J.; Iglesias, R.; Sansosti, E.; Abajo, T.; Morales, A. Suitability Assessment of X-Band Satellite SAR Data for Geotechnical Monitoring of Site Scale Slow Moving Landslides. Remote Sens. 2018, 10, 936.

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