Articles | Volume 21, issue 9
Nat. Hazards Earth Syst. Sci., 21, 2753–2772, 2021
https://doi.org/10.5194/nhess-21-2753-2021

Special issue: Remote sensing and Earth observation data in natural hazard...

Nat. Hazards Earth Syst. Sci., 21, 2753–2772, 2021
https://doi.org/10.5194/nhess-21-2753-2021

Research article 08 Sep 2021

Research article | 08 Sep 2021

Timely prediction potential of landslide early warning systems with multispectral remote sensing: a conceptual approach tested in the Sattelkar, Austria

Doris Hermle et al.

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Cited articles

Anker, F., Fegerl, L., Hübl, J., Kaitna, R., Neumayer, F., and Keuschnig, M.: Geschiebetransport in Gletscherbächen der Hohen Tauern: Beispiel Obersulzbach, Wildbach- und Lawinenverbauung, 80, 86–96, 2016. 
Aubrecht, C., Meier, P., and Taubenböck, H.: Speeding up the clock in remote sensing: identifying the “black spots” in exposure dynamics by capitalizing on the full spectrum of joint high spatial and temporal resolution, Nat. Hazards, 86, 177–182, https://doi.org/10.1007/s11069-015-1857-9, 2017. 
Ayoub, F., Leprince, S., and Keene, L.: User's Guide to COSI-CORR Co-registration of Optically Sensed Images and Correlation, California Institute of Technology, Pasadena, CA 91125, USA, 38 pp., 2009. 
Barla, G. and Paronuzzi, P.: The 1963 Vajont Landslide: 50th Anniversary, Rock Mech. Rock Eng., 46, 1267–1270, https://doi.org/10.1007/s00603-013-0483-7, 2013. 
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Short summary
Multispectral remote sensing imagery enables landslide detection and monitoring, but its applicability to time-critical early warning is rarely studied. We present a concept to operationalise its use for landslide early warning, aiming to extend lead time. We tested PlanetScope and unmanned aerial system images on a complex mass movement and compared processing times to historic benchmarks. Acquired data are within the forecasting window, indicating the feasibility for landslide early warning.
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