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ASSESSMENT OF LANDSLIDE-INDUCED MORPHOLOGY CHANGES USING AN OBJECT-BASED IMAGE ANALYSIS APPROACH: A CASE STUDY OF HÍTARDALUR, ICELAND
Copyright policy )ASSESSMENT OF LANDSLIDE-INDUCED MORPHOLOGY CHANGES USING AN OBJECT-BASED IMAGE ANALYSIS APPROACH: A CASE STUDY OF HÍTARDALUR, ICELAND
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.
Library of Congress Subject Headings: lcsh:Applied optics. Photonics lcsh:T lcsh:TA1501-1820 lcsh:Technology lcsh:TA1-2040 lcsh:Engineering (General). Civil engineering (General)
Microsoft Academic Graph classification: Synthetic aperture radar Object based Landslide Object (computer science) Course (navigation) Remote sensing (archaeology) Physical geography Focus (optics) Geology
Library of Congress Subject Headings: lcsh:Applied optics. Photonics lcsh:T lcsh:TA1501-1820 lcsh:Technology lcsh:TA1-2040 lcsh:Engineering (General). Civil engineering (General)
Microsoft Academic Graph classification: Synthetic aperture radar Object based Landslide Object (computer science) Course (navigation) Remote sensing (archaeology) Physical geography Focus (optics) Geology
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Blaschke, T., Hay, G.J., Kelly, M., Lang, S., Hofmann, P., Addink, E., Queiroz Feitosa, R., van der Meer, F., van der Werff, H., van Coillie, F., Tiede, D., 2014. Geographic ObjectBased Image Analysis - Towards a new paradigm. ISPRS J.
Photogramm. Remote Sens. 87, 180-191.
https://doi.org/10.1016/J.ISPRSJPRS.2013.09.014 Casagli, N., Cigna, F., Bianchini, S., Hölbling, D., Füreder, P., Righini, G., Del Conte, S., Friedl, B., Schneiderbauer, S., Iasio, C., Vlcko, J., Greif, V., Proske, H., Granica, K., Falco, S., Lozzi, S., Mora, O., Arnaud, A., Novali, F., Bianchi, M., 2016.
Landslide mapping and monitoring by using radar and optical remote sensing: Examples from the EC-FP7 project SAFER.
Remote Sens. Appl. Soc. Environ. 4, 92-108.
https://doi.org/10.1016/J.RSASE.2016.07.001 Chen, G., Weng, Q., Hay, G.J., He, Y., 2018. Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities. GIScience Remote Sens. 55, 159-182.
https://doi.org/10.1080/15481603.2018.1426092 Cigna, F., 2018. Observing geohazards from space. MDPI.
https://doi.org/https://doi.org/10.3390/books978-3-03842-776-6 Helgason, J.K., Saemundssson, Þ., Drouin, V., Jóhannesson, T., 2019. The Hítardalur landslide in West Iceland in July 2018, in: EGU: Geophysical Research Abstracts. Vienna, Austria.
Hölbling, D., Eisank, C., Albrecht, F., Vecchiotti, F., Friedl, B., Weinke, E., Kociu, A., Hölbling, D., Eisank, C., Albrecht, F., Vecchiotti, F., Friedl, B., Weinke, E., Kociu, A., 2017.
Geosciences 7, 37. https://doi.org/10.3390/geosciences7020037 Hölbling, D., Friedl, B., Dittrich, J., Cigna, F., Pedersen, G., 2018. Combined interpretation of optical and SAR data for landslide mapping, in: Jemec Auflic, M., Mikos, M., Verbovsek, T. (Eds.), Advances in Landslide Research.
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Popularity provided by BIP!- Austrian Science Fund (FWF) (FWF)
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- Austrian Science Fund (FWF) (FWF)
- P 29461
- Einzelprojekte
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.