Articles | Volume 17, issue 10
Research article
17 Oct 2023
Research article |  | 17 Oct 2023

Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 1: Measurements, processing, and accuracy assessment

Anssi Rauhala, Leo-Juhani Meriö, Anton Kuzmin, Pasi Korpelainen, Pertti Ala-aho, Timo Kumpula, Bjørn Kløve, and Hannu Marttila


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2022-239', Anonymous Referee #1, 13 Feb 2023
    • AC1: 'Reply on RC1', Anssi Rauhala, 18 Apr 2023
  • RC2: 'Comment on tc-2022-239', Anonymous Referee #2, 01 Mar 2023
    • AC2: 'Reply on RC2', Anssi Rauhala, 18 Apr 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (06 May 2023) by Carrie Vuyovich
AR by Anssi Rauhala on behalf of the Authors (26 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 Jun 2023) by Carrie Vuyovich
AR by Anssi Rauhala on behalf of the Authors (21 Jun 2023)
Short summary
Snow conditions in the Northern Hemisphere are rapidly changing, and information on snow depth is important for decision-making. We present snow depth measurements using different drones throughout the winter at a subarctic site. Generally, all drones produced good estimates of snow depth in open areas. However, differences were observed in the accuracies produced by the different drones, and a reduction in accuracy was observed when moving from an open mire area to forest-covered areas.