遥感
反向散射(电子邮件)
表面光洁度
表面粗糙度
含水量
环境科学
土壤科学
卫星
均方误差
反演(地质)
水分
图像分辨率
均方根
地质学
气象学
地理
岩土工程
数学
材料科学
地貌学
工程类
光学
统计
物理
航空航天工程
复合材料
电气工程
构造盆地
电信
无线
作者
Ju Hyoung Lee,Jeffrey P. Walker
标识
DOI:10.1080/10106049.2020.1805030
摘要
Sentinel-1 provides improved temporal and spatial resolutions in comparison with previous satellite missions. Unlike the change detection method that assumes the time-invariance of surface roughness at a coarse resolution, this study spatially inverted roughness and soil moisture from Sentinel-1 backscatter. Although it is important at high-resolution, local measurements of surface roughness are not available in an operational setting. Thus, question was how often time-varying soil roughness information should be updated in operations for reasonable soil moisture retrievals but at effective computational cost. Local validations show that a monthly update for surface roughness is sufficient for soil moisture retrievals. In more details, Root Mean Square Errors (RMSE) of 0.01 m3/m3 is found at Yanco A3 site, and 0.03 m3/m3 at Yanco A5 site, with differences in backscattering between Integral Equation Model (IEM) simulation and Sentinel-1 measurement of 0.78 dB at Yanco A3 site and 0.012 dB at Yanco A5 site, respectively.
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