Issue |
E3S Web Conf.
Volume 333, 2021
Regional Problems of Earth Remote Sensing (RPERS 2021)
|
|
---|---|---|
Article Number | 01007 | |
Number of page(s) | 4 | |
Section | Models and Methods of Remote Sensing Data Processing | |
DOI | https://doi.org/10.1051/e3sconf/202133301007 | |
Published online | 21 December 2021 |
Arctic lakes thickness measurement in the Lena River delta based on the Sentinel-1 observations
1 Siberian Federal University, , Krasnoyarsk, Russian Federation
2 Kirensky Institute of Physics of the Siberian Branch of the RAS – Division of Federal Research Center “Krasnoyarsk Scientific Center of the Siberian Branch of the RAS”, Krasnoyarsk, Russian Federation
* E-mail: rsdkm@ksc.krasn.ru
In this paper, we investigate the possibilities of ice thickness remote sensing on freshwater lakes based on Sentinel-1 observations. Fr. was selected as a test site. Kurungnakh Island, located in the Lena River delta, was selected as a test site, where 10 lakes with floating and grounded ice were selected. For the test lakes, the time series of backscatting coefficients measured by Sentinel-1 at horizontal-horizontal polarization (EW mode) and at an angle of 18-20 from September 2015 to June 2017 were analyzed. The average lakes ice thickness was estimated based on the Lebedev’s model and air temperature according to the European Center for Medium-Range Weather Forecasts (ECMWF ERA5). It is shown that, the dependence between backscattering coefficient and ice thickness (120-140 cm) can be described a linear function (with a standard deviation of 13.5-25.3 cm and a determination coefficient of 0.70-0.79). The preliminary studies shows that the Sentinel-1 radar data is promising for remote sensing of ice thickness on freshwater arctic lakes.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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