The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XLI-B7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 775–781, 2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 775–781, 2016

  22 Jun 2016

22 Jun 2016


M. Lazecky1, F. Canaslan Comut2, E. Nikolaeva3, M. Bakon4, J. Papco4, A. M. Ruiz-Armenteros5, Y. Qin6, J. J. M. de Sousa7, and P. Ondrejka8 M. Lazecky et al.
  • 1IT4Innovations, VSB-TU Ostrava, Czech Republic
  • 2Turkey Disaster & Emergency Directorate (AFAD) of Denizli, Turkey
  • 3Ilia State University, Tbilisi, Georgia
  • 4Dept. of Theoretical Geodesy, STU Bratislava, Slovakia
  • 5Departamento de Ingeniería Cartográfica, Geodésica y Fotogrametría, CEAC Tierra, Universidad de Jaén, Spain
  • 6Lyles School of Civil Engineering, Purdue University, USA
  • 7UTAD, Vila Real and INESC-TEC (formerly INESC Porto), Portugal
  • 8State Geological Institute of Dionýz Štúr, Slovakia

Keywords: Landslide activity, Public authorities, SAR Interferometry, Landslide inventory map, Sentinel-1A

Abstract. Slope deformation is one of the typical geohazards that causes an extensive economic damage in mountainous regions. As such, they are usually intensively monitored by means of modern expertise commonly by national geological or emergency services. Resulting landslide susceptibility maps, or landslide inventories, offer an overview of areas affected by previously activated landslides as well as slopes known to be unstable currently. Current slope instabilities easily transform into a landslide after various triggering factors, such as an intensive rainfall or a melting snow cover. In these inventories, the majority of the existing landslide-affected slopes are marked as either stable or active, after a continuous investigative work of the experts in geology. In this paper we demonstrate the applicability of Sentinel-1A satellite SAR interferometry (InSAR) to assist by identifying slope movement activity and use the information to update national landslide inventories. This can be done reliably in cases of semi-arid regions or low vegetated slopes. We perform several analyses based on multitemporal InSAR techniques of Sentinel-1A data over selected areas prone to landslides.