Articles | Volume 16, issue 1
Research article
24 Jan 2022
Research article |  | 24 Jan 2022

Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity

Wenkai Guo, Polona Itkin, Johannes Lohse, Malin Johansson, and Anthony Paul Doulgeris


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2021-119', Anonymous Referee #1, 19 May 2021
    • AC1: 'Reply on RC1', wenkai guo, 11 Jun 2021
  • RC2: 'Comment on tc-2021-119', Anonymous Referee #2, 21 Jun 2021
    • AC2: 'Reply on RC2', wenkai guo, 03 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (29 Sep 2021) by Petra Heil
AR by wenkai guo on behalf of the Authors (18 Oct 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (22 Nov 2021) by Petra Heil
RR by Anonymous Referee #1 (30 Nov 2021)
ED: Publish as is (10 Dec 2021) by Petra Heil
AR by wenkai guo on behalf of the Authors (17 Dec 2021)
Short summary
This study uses radar satellite data categorized into different sea ice types to detect ice deformation, which is significant for climate science and ship navigation. For this, we examine radar signal differences of sea ice between two similar satellite sensors and show an optimal way to apply categorization methods across sensors, so more data can be used for this purpose. This study provides a basis for future reliable and constant detection of ice deformation remotely through satellite data.