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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >The Potential for Estimating Snow Density Using SCATSAT-1 Scatterometer
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The Potential for Estimating Snow Density Using SCATSAT-1 Scatterometer

机译：使用Scatsat-1散射计估算雪密度的可能性

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摘要

Ku-band Scatterometers are best used for mapping snowmelt/freeze as normalized backscatter is sensitive to the water content of the snow. In this study, the potential of Ku-band scatterometer SCATSAT-1 at 13.515 GHz is explored with regard to the estimation of snow density, which is an important geophysical parameter of the snowpack behavior. The density calculation is done using horizontal-horizontal (HH) and vertical-vertical (VV) polarized data available at 2.25 km with incidence angles of 49 degrees and 57 degrees and snow dielectric constant inversion algorithm. The algorithm is tested over part of Indian Himalayas and Antarctica. Looyenga's semiempirical formula is used to estimate snow density in Antarctica, and a modified formula is used for the Himalayas. The validation of the analysis is done using reanalysis density data from European Centre for Medium Range Weather Forecasts (ECMWF) at Indian Himalayas during January 2017 and observed field density data during 2016-2017 at Antarctica. The correlation and mean absolute error between derived and modeled densities were 0.788 and 0.006 g/cm(3) for the Himalayas. A correlation of 0.81 and mean absolute error of 0.079 g/cm(3) at 10 cm depth was found out between observed and derived densities for Antarctica. The derived density varied with the temperature at a study site in Antarctica.
机译：Ku波带散射仪最好用于将雪光/冻结映射，因为归一化反向散射对雪的含水量敏感。在这项研究中，关于雪密度的估计，探讨了Ku频带散射仪Scatsat-1的潜力，这是雪密度的估计，这是积雪行为的重要地球物理参数。密度计算采用水平水平（HH）和垂直垂直（VV）偏振数据在2.25 km，入射角为49度和57度和雪介质恒定反转算法。该算法在印度喜马拉雅山和南极洲的一部分测试。 Loyenga的半透镜用于估算南极洲的雪密度，并用于喜马拉雅的改进的公式。分析验证是在2017年1月1日1月的印度喜马拉雅山的欧洲中范围天气预报（ECMWF）中的再分析密度数据，并在南极洲观察到2016-2017期间的场密度数据。衍生和建模密度之间的相关性和平均绝对误差为喜马拉雅山的0.788和0.006g / cm（3）。在观察和衍生的南极密度之间发现0.81和0.079g / cm（3）的平均绝对误差的相关性。衍生的密度随着南极洲研究现场的温度而变化。

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