POTENTIAL OF SENTINEL-1A FOR NATION-WIDE ROUTINE UPDATES OF ACTIVE LANDSLIDE MAPS
| Autor: | Antonio M. Ruiz-Armenteros, Yuxiao Qin, J. J. M. de Sousa, F. Canaslan Comut, E. Nikolaeva, Peter Ondrejka, Juraj Papčo, Milan Lazecky, Matus Bakon |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
lcsh:Applied optics. Photonics
010504 meteorology & atmospheric sciences lcsh:T 0211 other engineering and technologies lcsh:TA1501-1820 Landslide 02 engineering and technology Landslide susceptibility Movement activity 01 natural sciences lcsh:Technology Current (stream) Geography lcsh:TA1-2040 Snowmelt Interferometric synthetic aperture radar Satellite lcsh:Engineering (General). Civil engineering (General) Cartography 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B7, Pp 775-781 (2016) |
| ISSN: | 2194-9034 1682-1750 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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