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 Muzalevskiy1, Zdenek Ruzicka1, Alexandre Roy2, Michael Loranty3, and Alexander Vasiliev4 Konstantin Muzalevskiy et al.
  • 1Laboratory of Radiophysics of Remote Sensing, Kirensky Institute of Physics Federal Research Center KSC Siberian Branch Russian Academy of Sciences, Siberian Federal University, Krasnoyarsk, Russia
  • 2Département des Sciences de l’Environnement, Université du Québec à Trois-Rivières (UQTR), Trois-Rivières, Centre d’étude Nordique, Québec, Canada
  • 3Department of Geography, Colgate University, Hamilton, NY, USA
  • 4Laboratory for Cartographic Modeling and Forecasting the State of Permafrost Geosystems, Earth Cryosphere Institute, Tyumen Scientific Centre SB RAS, Russia

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.

Konstantin Muzalevskiy et al.

Status: final response (author comments only)

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
  • RC2: 'Comment on egusphere-2022-224', Anonymous Referee #2, 18 Nov 2022

Konstantin Muzalevskiy et al.

Konstantin Muzalevskiy et al.

Viewed

Total article views: 398 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
295 83 20 398 10 11
  • HTML: 295
  • PDF: 83
  • XML: 20
  • Total: 398
  • BibTeX: 10
  • EndNote: 11
Views and downloads (calculated since 06 Jul 2022)
Cumulative views and downloads (calculated since 06 Jul 2022)

Viewed (geographical distribution)

Total article views: 346 (including HTML, PDF, and XML) Thereof 346 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Nov 2022
Download
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.