Articles | Volume 22, issue 3
Nat. Hazards Earth Syst. Sci., 22, 753–773, 2022
https://doi.org/10.5194/nhess-22-753-2022

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

Nat. Hazards Earth Syst. Sci., 22, 753–773, 2022
https://doi.org/10.5194/nhess-22-753-2022

Research article 09 Mar 2022

Research article | 09 Mar 2022

Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine

Alexander L. Handwerger et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-283', Anonymous Referee #1, 02 Nov 2021
  • RC2: 'Comment on nhess-2021-283', Anonymous Referee #2, 03 Nov 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) (02 Jan 2022) by Mahdi Motagh
AR by Alexander Handwerger on behalf of the Authors (04 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (06 Jan 2022) by Mahdi Motagh
ED: Publish subject to minor revisions (review by editor) (18 Jan 2022) by Mahdi Motagh
AR by Alexander Handwerger on behalf of the Authors (28 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (28 Jan 2022) by Mahdi Motagh
Download
Short summary
Rapid detection of landslides is critical for emergency response and disaster mitigation. Here we develop a global landslide detection tool in Google Earth Engine that uses satellite radar data to measure changes in the ground surface properties. We find that we can detect areas with high landslide density within days of a triggering event. Our approach allows the broader hazard community to utilize these state-of-the-art data for improved situational awareness of landslide hazards.
Altmetrics
Final-revised paper
Preprint