Dry snow remains in sub-zero environments for a long time and does not melt. Dry snow has a low density, so the L-band microwave signal can penetrate hundreds of meters of snow depth. Dry snow areas occur in Greenland and the inland areas of the Antarctic ice sheet, where the snow thickness can reach several kilometers. The L-band signal can penetrate the accumulated snow layer, corresponding to the snow accumulated over the past thousands of years [1–3]. Understanding the climate of these areas is very important for studying the possible impacts of climate change on glaciers melting and dynamics. Meanwhile, studying and prediction of the Antarctic glaciers continuous changes require better snow accumulation distribution maps, and snow accumulation distribution maps are also important for monitoring sea level changes [4, 5]. A feasible future space-based GNSS-R mission can achieve dense sampling in these areas [6].

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Snow and Ice Remote Sensing

  • Shuanggen Jin,
  • Xuerui Wu,
  • Hui Qiu

摘要

Dry snow remains in sub-zero environments for a long time and does not melt. Dry snow has a low density, so the L-band microwave signal can penetrate hundreds of meters of snow depth. Dry snow areas occur in Greenland and the inland areas of the Antarctic ice sheet, where the snow thickness can reach several kilometers. The L-band signal can penetrate the accumulated snow layer, corresponding to the snow accumulated over the past thousands of years [1–3]. Understanding the climate of these areas is very important for studying the possible impacts of climate change on glaciers melting and dynamics. Meanwhile, studying and prediction of the Antarctic glaciers continuous changes require better snow accumulation distribution maps, and snow accumulation distribution maps are also important for monitoring sea level changes [4, 5]. A feasible future space-based GNSS-R mission can achieve dense sampling in these areas [6].