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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-18', Jan Henrik Blöthe, 19 Feb 2021
  • RC2: 'Comment on nhess-2021-18', Sigrid Roessner, 13 Apr 2021
    • AC3: 'Reply on RC2', Doris Hermle, 19 Apr 2021
    • AC4: 'Reply on RC2', Doris Hermle, 07 May 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (07 May 2021) by Mahdi Motagh
AR by Svenja Lange on behalf of the Authors (11 May 2021)  Author's response
ED: Referee Nomination & Report Request started (19 May 2021) by Mahdi Motagh
RR by Sigrid Roessner (25 May 2021)
RR by Jan Henrik Blöthe (02 Jun 2021)
ED: Publish subject to minor revisions (review by editor) (09 Jul 2021) by Mahdi Motagh
AR by Doris Hermle on behalf of the Authors (23 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (03 Aug 2021) by Mahdi Motagh
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