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An inversion approach for lunar regolith layer thickness using optical albedo data and microwave emission simulation

机译:利用光学反照率数据和微波发射模拟反演月积石厚度的反演方法

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摘要

An approach to inversion of the lunar regolith layer thickness by using multi-channel brightness temperature observation in passive microwave remote sensing is developed. To first make simulation of brightness temperature from the lunar layered media, the lunar regolith layer thickness (d) is proposed being constructed by available lunar DEM (digital elevation mapping) and on site measurements. The physical temperature distribution (T) over the lunar surface is also empirically assumed as a monotonic function of the latitude. Optical albedo of the lunar nearside from the telescopic observation is employed to construct the spatial distribution of the FeO + TiO_2 content (S) in the lunar regolith layer. A statistic relationship between the DEM and S of the lunar nearside is further extended to construction of S of the lunar farside. Thus, the dielectric permittivity (ε) of global lunar regolith layer can then be determined. Based on all these conditions (d, T, ε), brightness temperature of the lunar regolith layer in passive microwave remote sensing, which is planned for China's Chang-E lunar project, is numerically simulated by a parallel layering model using the strong fluctuation theory of random media.rnThen, taking these simulations with random noise as observations, an inversion method of the lunar regolith layer thickness is developed by using three- or two-channels brightness temperatures. When the S is low, and the four channels brightness temperatures in China's Chang-E project are well distinguishable, the regolith layer thickness and physical temperature of the underlying lunar rock media can be inverted by the three-channels approach. When the S becomes high that the brightness temperature at high frequency channels such as 19.35, 37 GHz are saturated, the regolith layer thickness is alternatively inverted only by the two-channels approach.rnNumerical simulation and inversion approach in this paper make an evaluation of the performance for lunar passive microwave remote sensing, and for future data calibration and validation.
机译:提出了一种利用被动微波遥感中多通道亮度温度观测反演月牙石层厚度的方法。为了首先模拟月球层状介质的亮度温度,建议通过可用的月球DEM(数字高程图)和现场测量来构造月球重石层厚度(d)。月球表面的物理温度分布(T)也根据经验被假定为纬度的单调函数。利用望远镜观测的月球近侧光学反照率来构造月牙石层中FeO + TiO_2含量(S)的空间分布。月球近端的DEM和S之间的统计关系进一步扩展到月球远端的S的构造。因此,然后可以确定整体月球巨石层的介电常数(ε)。基于所有这些条件(d,T,ε),利用强起伏理论,通过平行分层模型数值模拟了为中国-娥一号月球计划计划的被动微波遥感中月球变石层的亮度温度。然后,将这些模拟以随机噪声作为观察结果,通过使用三通道或两通道亮度温度,开发了月球重石层厚度的反演方法。当S低且中国的Chang-E项目中四个通道的亮度温度可以很好地区分时,可以通过三通道方法反转底层月球岩石介质的重膏石层厚度和物理温度。当S变高使得高频通道(例如19.35、37 GHz)的亮度温度达到饱和时,硬质合金层厚度仅通过两通道方法交替地反转。本文的数值模拟和反演方法对S值进行了评估。用于月球无源微波遥感以及未来数据校准和验证的性能。

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