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

Viewed

Total article views: 3,213 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,887 1,256 70 3,213 133 58 49
  • HTML: 1,887
  • PDF: 1,256
  • XML: 70
  • Total: 3,213
  • Supplement: 133
  • BibTeX: 58
  • EndNote: 49
Views and downloads (calculated since 02 Feb 2021)
Cumulative views and downloads (calculated since 02 Feb 2021)

Viewed (geographical distribution)

Total article views: 3,213 (including HTML, PDF, and XML) Thereof 2,953 with geography defined and 260 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Feb 2024
Download
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.
Altmetrics
Final-revised paper
Preprint