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Lorenzo, S., Matteo, D., Federico, R., Anna, B., Silvia, B., Nicola, C., & Michele, C. (2020). Review of Satellite Interferometry for Landslide Detection in Italy. Remote Sensing in Geology, Geomorphology and Hydrology.

has been cited by the following article:

• TITLE: D-InSAR Analysis of Sentinel-1 Data for Landslide Detection in Northern Morocco, Case Study: Chefchaouen

  AUTHORS: Azizi Bouchra, Hakdaoui Mustapha, Raji Mohammed

  KEYWORDS: Landslides, Slopes, SAR, DInSAR, Interferometric, Synthetic Aperture Radar, Sentinel 1

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.8 No.7, July 24, 2020

  ABSTRACT: Land surface displacement caused by landslides is among the most damaging phenomena in northern Morocco. In this paper, we measure ground deformation in the Chefchaouen area which is a zone characterized by geological formations and structurally complex losses that promote instability (landslide, mudflow, block falls, etc.) leading to slow to extremely slow deformation phenomena, which require an interferometric study, using the DinSAR (differential interferometric synthetic Aperture Radar) technique with sentinel 1 images in bance C, which is a powerful tool for the detection and analysis of interferences and monitoring of ground deformations. We worked on four areas of the study area. Its points are provided by the direction of the roads, which generates Interferograms and then deformation maps with precision in mm/year.