Preprints
https://doi.org/10.5194/egusphere-2022-224
https://doi.org/10.5194/egusphere-2022-224
06 Jul 2022
 | 06 Jul 2022

Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data

Konstantin Muzalevskiy, Zdenek Ruzicka, Alexandre Roy, Michael Loranty, and Alexander Vasiliev

Abstract. From 2015 to 2020, using spectral gradient radiometric methods, the possibility of frozen/thawed state identification of tundra soils was investigated based on SMAP and GCOM-W1 satellite observations of ten test sites located in the Arctic regions of Canada, Finland, Russia, and U.S.. It is shown that the spectral gradients of brightness temperature and reflectivity, measured on the frequency range from 1.4 GHz to 36.5 GHz on horizontal polarization with a determination coefficient from 0.775 to 0.834, root-mean-square-error from 6.6 days to 10.7 days, and bias from -3.4 days to +6.5 days, make it possible to identify the thawed/frozen state of the tundra soils. Spectral gradient methods have a significantly higher accuracy for identification of frozen and thawed state of tundra soils in relation to single-frequency methods based on the calculation of polarization index.

Journal article(s) based on this preprint

25 Sep 2023
Brief communication: Identification of tundra topsoil frozen/thawed state from SMAP and GCOM-W1 radiometer measurements using the spectral gradient method
Konstantin Muzalevskiy, Zdenek Ruzicka, Alexandre Roy, Michael Loranty, and Alexander Vasiliev
The Cryosphere, 17, 4155–4164, https://doi.org/10.5194/tc-17-4155-2023,https://doi.org/10.5194/tc-17-4155-2023, 2023
Short summary

Konstantin Muzalevskiy et al.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2022-224', Vasiliy Tikhonov, 28 Jul 2022
    • AC1: 'Reply on CC1', Konstantin Muzalevskiy, 24 Aug 2022
      • CC2: 'Reply on AC1', Vasiliy Tikhonov, 05 Sep 2022
        • AC2: 'Reply on CC2', Konstantin Muzalevskiy, 13 Sep 2022
  • RC1: 'Comment on egusphere-2022-224', Anonymous Referee #1, 16 Sep 2022
    • AC4: 'Reply on RC1', Konstantin Muzalevskiy, 23 Dec 2022
  • RC2: 'Comment on egusphere-2022-224', Anonymous Referee #2, 18 Nov 2022
    • AC3: 'Reply on RC2', Konstantin Muzalevskiy, 16 Dec 2022

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2022-224', Vasiliy Tikhonov, 28 Jul 2022
    • AC1: 'Reply on CC1', Konstantin Muzalevskiy, 24 Aug 2022
      • CC2: 'Reply on AC1', Vasiliy Tikhonov, 05 Sep 2022
        • AC2: 'Reply on CC2', Konstantin Muzalevskiy, 13 Sep 2022
  • RC1: 'Comment on egusphere-2022-224', Anonymous Referee #1, 16 Sep 2022
    • AC4: 'Reply on RC1', Konstantin Muzalevskiy, 23 Dec 2022
  • RC2: 'Comment on egusphere-2022-224', Anonymous Referee #2, 18 Nov 2022
    • AC3: 'Reply on RC2', Konstantin Muzalevskiy, 16 Dec 2022

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) (23 Jul 2023) by Christian Beer
AR by Konstantin Muzalevskiy on behalf of the Authors (27 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (09 Aug 2023) by Christian Beer
AR by Konstantin Muzalevskiy on behalf of the Authors (17 Aug 2023)  Author's response   Manuscript 

Journal article(s) based on this preprint

25 Sep 2023
Brief communication: Identification of tundra topsoil frozen/thawed state from SMAP and GCOM-W1 radiometer measurements using the spectral gradient method
Konstantin Muzalevskiy, Zdenek Ruzicka, Alexandre Roy, Michael Loranty, and Alexander Vasiliev
The Cryosphere, 17, 4155–4164, https://doi.org/10.5194/tc-17-4155-2023,https://doi.org/10.5194/tc-17-4155-2023, 2023
Short summary

Konstantin Muzalevskiy et al.

Konstantin Muzalevskiy et al.

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
A new all-weather method for determining the thawed or frozen state of soils in the Arctic region based on satellite data is proposed. Testing of the method was carried out at the test sites in Canada, Finland, Russia, and U.S., which are equipped with soil-climatic weather stations. The proposed method with a high degree of reliability and better accuracy, in comparison with existing microwave satellite methods, will identify the thawed or frozen state of Arctic soils.