首页> 外文期刊>Arctic, antarctic, and alpine research >Estimation and analysis of snow water equivalents based on C-band SAR data and field measurements
【24h】

Estimation and analysis of snow water equivalents based on C-band SAR data and field measurements

机译:基于C波段SAR数据和野外测量的雪水当量估算与分析。

获取原文
获取原文并翻译 | 示例
           

摘要

The spatial distribution of the snow water equivalent (SWE) of ground snow cover is one of the most important variables for understanding and simulating cold-region hydrological processes in high mountain areas. In this paper, the characteristics of C-band synthetic aperture radar (SAR) data in an area of shallow dry snow cover were analyzed based on microwave backscattering models and field snow cover measurements. The analysis revealed that the backscattering of shallow dry snow cover was dominated by the scattering of the snow-ground interface, and the dielectric constant and roughness parameters of the underlying frozen soil were the primary factors that affected the total scattering. The dielectric constant of the soil depended on the amount of liquid water present in the soil, and the amount of liquid water was primarily determined by the soil temperature. Furthermore, the insulation properties (thermal resistance) of the snow cover affected the underlying soil temperature. Consequently, the snow cover characteristics affected the backscattering signal recorded by the SAR sensors. Based on an investigation involving ENVISAT-ASAR data and simultaneous ground-based snow observations conducted on 14 March 2008, we found that the snow temperature decreased with increasing snow depth when the snow depth was less than 20 cm, and the temperature increased with decreasing snow depth when the snow depth exceeded 20 cm. Additionally, the amount of liquid water in the underlying frozen soil rapidly increased with increasing temperature. To estimate the SWE, we used a small number of field measurements data and SAR ratio images to develop two equations. The first equation defined the relationship between the snow's thermal resistance and backscattering ratio, and the second equation yielded the SWE from the estimated thermal resistance of the snow-covered area. The root mean square and relative errors of the estimated SWE were approximately 7.41 mm and 6.17%, respectively. The derived SWE also indicated that blowing snow and sun radiation were two primary factors that determined the spatial distribution of snow cover in mountainous areas.
机译:地面积雪的雪水当量(SWE)的空间分布是理解和模拟高山地区寒冷地区水文过程的最重要变量之一。本文基于微波反向散射模型和野外积雪测量,分析了浅干积雪地区C波段合成孔径雷达(SAR)数据的特征。分析表明,浅层干燥积雪的反向散射主要由雪地界面的散射引起,下层冻土的介电常数和粗糙度参数是影响总散射的主要因素。土壤的介电常数取决于土壤中存在的液态水的量,液态水的量主要取决于土壤温度。此外,积雪的隔热性能(热阻)影响了土壤的下层温度。因此,积雪的特性影响了SAR传感器记录的反向散射信号。基于对ENVISAT-ASAR数据的调查以及2008年3月14日同时进行的地面降雪观测,我们发现,当雪深小于20 cm时,雪温会随着雪深的增加而降低,而温度会随着雪量的减少而增加雪深超过20厘米时的深度。另外,随着温度升高,下面的冻土中的液态水量迅速增加。为了估算SWE,我们使用了少量的现场测量数据和SAR比图像来开发两个方程。第一个方程式定义了雪的热阻与反向散射比之间的关系,第二个方程式根据估计的积雪区域的热阻得出了SWE。估计SWE的均方根和相对误差分别约为7.41 mm和6.17%。得出的SWE还表明,吹雪和太阳辐射是决定山区积雪空间分布的两个主要因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号