Articles | Volume 21, issue 9
https://doi.org/10.5194/nhess-21-2753-2021
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, Markus Keuschnig, Ingo Hartmeyer, Robert Delleske, and Michael Krautblatter

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Latest update: 15 Jun 2024
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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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