Investigation of retrieved snow depth by microwave remote sensing with in-situ field data

AMSR-E/AMSR2 is provided the brightness temperature data with more channels, higher spatial resolution and frequent coverage. New snow algorism techniques of remote sensing for snow depth and snow-melting area can be carried out using these in-situ data. We have conducted snow survey from 2006 to now, which is mainly on March and occasionally on January and April/May when seasonal snow melts. The sites are located at an interval of ca. 32-km along the Dalton Highway (Fig. 1). Snow density, snow depth and temperature were measured in snow-pit wall observation at each site. Snow water equivalent (SWE) was calculated by multiplying snow-column snow density by snow depth. As the results, the response of SWE to snow depth showed a positively linear relationship (R2 > 0.90).

AMSR-E/AMSR2 可提供通道数量更多、空间分辨率更高且覆盖频次更优的亮温数据。依托此类原位观测数据，可研发用于积雪深度与融雪区遥感的新型积雪算法。本团队自2006年起至今持续开展积雪调查工作，调查时段主要集中于3月，仅在季节性积雪消融的1月及4、5月偶尔开展补充调查。调查点位沿道尔顿公路（Dalton Highway）以约32公里的间距布设（见图1）。在每个点位的雪坑壁处开展观测，测定雪密度、雪深与雪温。通过将雪柱密度与雪深相乘，计算得到雪水当量（Snow Water Equivalent, SWE）。分析结果表明，雪水当量与雪深之间呈显著正线性相关关系，决定系数R²>0.90。