"JOURNAL OF RADIO ELECTRONICS" (Zhurnal Radioelektroniki ISSN 1684-1719, N 11, 2019

contents of issue      DOI  10.30898/1684-1719.2019.11.19    full text in English (pdf)  

UDC 621.369.9

Temperature dependence of the backscattering coefficient measured by ALOS PALSAR during cooling and heating of tundra topsoil


K. V. Muzalevskiy

Kirensky Institute of Physics Federal Research Center KSC SB RAS, 660036 Krasnoyarsk, Russia


The paper is received on November 7, 2019


Abstract. In this paper, dependences of backscattering coefficient on Arctic tundra soil temperature were investigated. The backscattering coefficient was measured by ALOS PALSAR (1.3GHz) over areas near to Imnaviat weather station in the North Slope of Alaska in the period from January 12, 2009 to April 20, 2011. It has been experimentally and theoretically shown that there is a strong correlation relationship no worse than 0.76 between the surface soil temperature measured by weather stations and backscattering coefficient. The variations of the backscattering coefficient was found to be about 5-6 dB over the test site when soil surface temperature changes from -10 to 10. This study contributes to further understanding the processes of scattering of frozen Arctic soils that is pertinent to developing new remote sensing algorithms for the permafrost region.

Key words: ALOS PALSAR, backscattering, active layer, topsoil temperature.


1.    World Meteorological organization [Online]. Status of the Global Observing System for Climate (GCOS-195), October 2015. Available at: http://www.wmo.int/pages/prog/gcos/Publications/ GCOS-195_en.pdf.

2.    Rautiainen K., et al. SMOS prototype algorithm for detecting autumn soil freezing. Remote Sensing of Environmen. 2016. Vol.180. P.346-360.

3.    Al-Yaari A. et al. Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates. Remote Sensing of Environment. 2014. Vol.149. P.181-195.

4.    Roy A. et al. Response of L-Band brightness temperatures to freeze/thaw and snow dynamics in a prairie environment from ground-based radiometer measurements. Remote Sensing of Environment. 2017. Vol.191. P.67-80.

5.    Muzalevskiy K. V., Z. Ruzicka. Retrieving Soil Temperature at a Test Site on the Yamal Peninsula Based on the SMOS Brightness Temperature Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016. Vol.9. No.6, P.2468-2477.

6.    Mironov V.L., Savin I.V. A temperature-dependent multi-relaxation spectroscopic dielectric model for thawed and frozen organic soil at 0.0515 GHz. Physics and Chemistry of the Earth, Parts A/B/C. 2015. Vol.83-84. P.57-64.

7.    Rodionova N.V. Sentinel-1 data correlation with ground measurements of soil temperature. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa Modern Problems of Remote Sensing of Earth from Space. 2017. Vol.14. No.5. P.135-148. (In Russian)

8.    Khaldoune J., et al. An approach for mapping frozen soil of agricultural land under snow cover using RADARSAT-1 and RADARSAT-2. IEEE Geoscience and Remote Sensing Symposium Proc. 2008. Vol.3. P. III-382III-385.

9.    Radionova N.V. Backscattering from the near-surface layer of thawed/frozen soils of alaska from Sentinel-1 radar data. RENSIT. 2019. Vol.11, No.1, P.21-30.

10.  Permarfrost Laboratory University of Alaska. [Online]. Database. Available at http://permafrost.gi.alaska.edu/site/im1.

11.  Y. Oh, K. Sarabandi and F. T. Ulaby. An empirical model and an inversion technique for radar scattering from bare soil surfaces. IEEE Transactions on Geoscience and Remote Sensing. 1992. Vol.30. No.2. P.370-381.

For citation:

Muzalevskiy K.V. Temperature dependence of the backscattering coefficient measured by ALOS PALSAR during cooling and heating of tundra topsoil. Zhurnal Radioelektroniki - Journal of Radio Electronics. 2019. No. 11. Available at http://jre.cplire.ru/jre/nov19/19/text.pdf

DOI  10.30898/1684-1719.2019.11.19