Articles | Volume 21, issue 9
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, Markus Keuschnig, Ingo Hartmeyer, Robert Delleske, and Michael Krautblatter

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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,, 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,, 2013. 
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.
Final-revised paper