Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 775-781, 2016
https://doi.org/10.5194/isprs-archives-XLI-B7-775-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
22 Jun 2016
POTENTIAL OF SENTINEL-1A FOR NATION-WIDE ROUTINE UPDATES OF ACTIVE LANDSLIDE MAPS
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 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.
Conference paper (PDF, 6035 KB)


Citation: Lazecky, M., Canaslan Comut, F., Nikolaeva, E., Bakon, M., Papco, J., Ruiz-Armenteros, A. M., Qin, Y., de Sousa, J. J. M., and Ondrejka, P.: POTENTIAL OF SENTINEL-1A FOR NATION-WIDE ROUTINE UPDATES OF ACTIVE LANDSLIDE MAPS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 775-781, https://doi.org/10.5194/isprs-archives-XLI-B7-775-2016, 2016.

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