| 模型ID： | M00007 | ||||||
| 模型名称： | 多层积雪覆盖地表微波后向散射模型 | ||||||
| 模型编码者： |
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| 模型关键字： | 积雪、后向散射、致密介质、多层辐射传输 | ||||||
| 模型类型： | 理论模型 | ||||||
| 模型最后修改日期： | 2012/7/12 14:30:54 | ||||||
| 模型提交日期： | 2005/9/13 12:18:50 | ||||||
| 模型摘要： | 在单层QCA-DMRT模型基础上，考虑积雪的垂直分层结构，构建多层辐射传输模型，分层之间的边界条件采用Fresnel反射和透射计算，通过边界条件联合各层辐射传输方程，统一解算多层主动辐射传输方程，进而模拟积雪覆盖地表的被动微波观测。输入参数包括每层的积雪粒径、粘性系数、密度、深度，以及积雪下垫面参数（均方根高度、相关长度和土壤湿度等）。 | ||||||
| 公式： |
| 1 |
名称：观测频率
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参数类型：double
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物理意义：微波观测频率，GHz
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| 2 |
名称：观测角度起始值
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参数类型：double
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物理意义：观测角度起始值,度
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| 3 |
名称：观测角度终止值
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参数类型：double
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物理意义：观测角度终止值,度
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| 4 |
名称：观测角度步长
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参数类型：double
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物理意义：观测角度步长，度
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| 5 |
名称：发射信号极化角参数1
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参数类型：double
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物理意义：发射信号极化角参数1
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| 6 |
名称：NULL发射信号极化角参数2
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参数类型：double
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物理意义：发射信号极化角参数2
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| 7 |
名称：积雪层数
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参数类型：int
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物理意义：积雪层数
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| 8 |
名称：分层积雪密度
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参数类型：double
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物理意义：分层积雪密度,g/cm^3
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| 9 |
名称：分层积雪颗粒半径
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参数类型：double
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物理意义：分层积雪颗粒半径,mm
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| 10 |
名称：分层积雪颗粒粘度系数
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参数类型：double
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物理意义：分层积雪颗粒粘度系数
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| 11 |
名称：分层积雪温度
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参数类型：double
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物理意义：分层积雪温度,K
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| 12 |
名称：分层积雪厚度
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参数类型：double
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物理意义：分层积雪厚度,米
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| 13 |
名称：土壤湿度
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参数类型：double
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物理意义：土壤湿度,%
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| 14 |
名称：土壤均方根高度
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参数类型：double
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物理意义：土壤均方根高度,cm
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| 15 |
名称：土壤相关长度
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参数类型：double
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物理意义：土壤相关长度,cm
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| 16 |
名称：土壤相关函数选择
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参数类型：int
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物理意义：土壤相关函数选择0=gaussian 1D, 1=exponential 1D, 2=gaussian 2D, 3=exponential 2D, 4=mixed-exponential 2D, 5=1.5-power
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| 标题： | An empirical model and an inversion technique for radar scattering from bare soil surface | ||||||||||||
| 文献作者： |
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| 文献引用： | IEEE Trans.Geosci. Remote Sensing | ||||||||||||
| 文献摘要: | Polarimetric radar measurements were conducted for bare soil surfaces under a variety of roughness and moisture conditions at L-, C-, and X-band frequencies at incidence angles ranging from 10° to 70°. Using a laser profiler and dielectric probes, a complete and accurate set of ground truth data was collected for each surface condition, from which accurate measurements were made of the rms height, correlation length, and dielectric constant. Based on knowledge of the scattering behavior in limiting cases and the experimental observations, an empirical model was developed for σ°hh, σ°vv, and σ° hv in terms of ks(where k=2π/λ is the wave number and sis the rms height) and the relative dielectric constant of the soil surface. The model, which was found to yield very good agreement with the backscattering measurements of the present study as well as with measurements reported in other investigations, was used to develop an inversion technique for predicting the rms height of the surface and its moisture content from multipolarized radar observations |
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