publication . Article . 2019

ASSESSMENT OF LANDSLIDE-INDUCED MORPHOLOGY CHANGES USING AN OBJECT-BASED IMAGE ANALYSIS APPROACH: A CASE STUDY OF HÍTARDALUR, ICELAND

Dabiri, Z.; Hölbling, D.; Abad, L.; Tiede, D.;
Open Access
  • Published: 01 Aug 2019
  • Publisher: Copernicus GmbH
Abstract
Abstract. On July 7, 2018, a large landslide occurred at the eastern slope of the Fagraskógarfjall Mountain in Hítardalur valley in West Iceland. The landslide dammed the river, led to the formation of a lake and, consequently, to a change in the river course. The main focus of this research is to develop a knowledge-based expert system using an object-based image analysis (OBIA) approach for identifying morphology changes caused by the Hítardalur landslide. We use synthetic aperture radar (SAR) and optical remote sensing data, in particular from Sentinel-1/2 for detection of the landslide and its effects on the river system. We extracted and classified the landslide area, the landslide-dammed lake, other lakes and the river course using intensity information from S1 and spectral information from S2 in the object-based framework. Future research will focus on further developing this approach to support mapping and monitoring of the spatio-temporal dynamics of surface morphology in an object-based framework by combining SAR and optical data. The results can reveal details on the applicability of different remote sensing data for the spatio-temporal investigation of landslides, landslide-induced river course changes and lake formation and lead to a better understanding of the impact of large landslides on river systems.
Subjects
free text keywords: Geology, Physical geography, Object (computer science), Remote sensing (archaeology), Synthetic aperture radar, Object based, Landslide, Focus (optics), Course (navigation), lcsh:Technology, lcsh:T, lcsh:Engineering (General). Civil engineering (General), lcsh:TA1-2040, lcsh:Applied optics. Photonics, lcsh:TA1501-1820
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