A dielectric model of thawed and frozen Arctic organic soils at 435 MHz : научное издание

Описание

Тип публикации: статья из журнала

Год издания: 2022

Идентификатор DOI: 10.1080/2150704X.2022.2041761

Аннотация: A refractive-mixing dielectric model for frozen and thawed organic-rich soils at a frequency of 435 MHz was developed in this letter. The model was developed based on the dielectric measurements of five soil samples in which organic matter content was variated from 35% to 80% (by weight). Dielectric measurements were conducted in tПоказать полностьюhe range of volumetric soil moisture from similar to 2% to 60%, and the range of temperature from -30 degrees C to 25 degrees C. Coefficient of determination (R-2) and root mean square error (RMSE) between predicted by the model and measured values for real (epsilon') and imaginary (epsilon '') part of complex relative permittivity are R-epsilon'(2) = 0.989 (RMSE epsilon' =0.602) and R-epsilon ''(2) = 0.906 (RMSE epsilon '' =0.404), respectively. The developed dielectric model can be used for creating remote sensing algorithms (soil moisture retrieval in the root zone, active layer thickness and ice content measuring in permafrost area, etc.) in P-band. A refractive-mixing dielectric model for frozen and thawed organic-rich soils at a frequency of 435 MHz was developed in this letter. The model was developed based on the dielectric measurements of five soil samples in which organic matter content was variated from 35% to 80% (by weight). Dielectric measurements were conducted in the range of volumetric soil moisture from ~2% to 60%, and the range of temperature from −30°C to 25°C. Coefficient of determination (R2) and root mean square error (RMSE) between predicted by the model and measured values for real ((Formula presented.)) and imaginary ((Formula presented.)) part of complex relative permittivity are (Formula presented.) = 0.989 ((Formula presented.) =0.602) and (Formula presented.) = 0.906 ((Formula presented.) =0.404), respectively. The developed dielectric model can be used for creating remote sensing algorithms (soil moisture retrieval in the root zone, active layer thickness and ice content measuring in permafrost area, etc.) in P-band. © 2022 Informa UK Limited, trading as Taylor & Francis Group. A refractive-mixing dielectric model for frozen and thawed organic-rich soils at a frequency of 435 MHz was developed in this letter. The model was developed based on the dielectric measurements of five soil samples in which organic matter content was variated from 35% to 80% (by weight). Dielectric measurements were conducted in the range of volumetric soil moisture from ~2% to 60%, and the range of temperature from −30°C to 25°C. Coefficient of determination (R2) and root mean square error (RMSE) between predicted by the model and measured values for real ((Formula presented.)) and imaginary ((Formula presented.)) part of complex relative permittivity are (Formula presented.) = 0.989 ((Formula presented.) =0.602) and (Formula presented.) = 0.906 ((Formula presented.) =0.404), respectively. The developed dielectric model can be used for creating remote sensing algorithms (soil moisture retrieval in the root zone, active layer thickness and ice content measuring in permafrost area, etc.) in P-band. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

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Издание

Журнал: REMOTE SENSING LETTERS

Выпуск журнала: Vol. 13, Is. 5

Номера страниц: 452-459

ISSN журнала: 2150704X

Место издания: ABINGDON

Издатель: TAYLOR & FRANCIS LTD

Персоны

  • Savin Igor (Russian Acad Sci Ip Sb Ras, Lab Radiophys Earth Remote Sensing, Kirensky Inst,Phys Fed Res Ctr, Ksc Siberian Branch, Krasnoyarsk, Russia)
  • Muzalevskiy Konstantin (Russian Acad Sci Ip Sb Ras, Lab Radiophys Earth Remote Sensing, Kirensky Inst,Phys Fed Res Ctr, Ksc Siberian Branch, Krasnoyarsk, Russia; Siberian Fed Univ, Sch Engn Phys & Radio Elect, Krasnoyarsk, Russia)
  • Mironov Valery L. (Russian Acad Sci Ip Sb Ras, Lab Radiophys Earth Remote Sensing, Kirensky Inst,Phys Fed Res Ctr, Ksc Siberian Branch, Krasnoyarsk, Russia)