Identification of thawed and frozen soil state in some Siberia regions by multi-temporal Sentinel 1 radar data in 2017-2018

N. Rodionova
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Abstract

The paper deals with the identification of thawed/frozen soils in the topsoil layer for three stations in Siberia: Salekhard, Tiksi and Norilsk by using Sentinel 1B C-band radar data for the period of 2017-2018. Determination of the frozen/thawed soil state is carried out in three ways: 1) by multi-temporal radar data on the basis of a significant in 3-5 dB difference in the backscatter coefficient 0 in the transition of freezing/thawing soil state, 2) by finding the threshold value of 0  at which the temperature in the topsoil layer falls below 00C, 3) by texture features. The first method allows determining the period of time during which the process of freezing/thawing of the soil occurs. The second and third methods allow making local maps of frozen/thawed soils. It is shown that for the studied areas the Spearman correlation coefficient between 0  and air temperature for cross - polarization exceeds the correlation coefficient for co-polarization. The graphs of the AFI (air freezing index) for the period of 2012-2018 are constructed based on the archive data of air temperature for the study areas.
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2017-2018年西伯利亚部分地区哨兵1号多时相雷达解冻冻土状态识别
利用Sentinel 1B c波段雷达2017-2018年数据,对西伯利亚萨列哈德、蒂克西和诺里尔斯克3个站点表层冻融土壤进行了识别。冻融土状态的确定主要有三种方式:1)利用多时相雷达数据,根据冻融土状态转变过程中后向散射系数0 - 3 dB的显著差异,2)寻找表层温度低于00℃时0 -的阈值,3)利用纹理特征。第一种方法可以确定土壤冻结/解冻过程发生的时间周期。第二种和第三种方法允许制作冻土/解冻土壤的局部地图。结果表明:在所研究的区域,交叉极化与温度之间的Spearman相关系数大于共极化相关系数。基于研究区2012-2018年的气温档案数据,构建了空气冻结指数(AFI)曲线。
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