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ATTRIBUTE UNCERTAINTY MODELING IN LUNAR GIS DATA

机译:月球GIS数据中的属性不确定性建模

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摘要

A novel methodology to evaluate uncertainties in lunar element abundances is presented. Contrary to most terrestrial applications, lunar GIS data cannot be verified by in-situ measurements due to the limited number of ground control points and their reduced spatial extend. This investigation evaluates the uncertainty in lunar element abundance measurements without the use of ground-checks but by statistical evaluation and comparison of datasets. We find that major elements (Oxygen, Iron, Aluminium, Titanium,Silicon and Magnesium) show distinct correlations between each other. This allows calculating the abundance of an element by deriving its value through a correlation law with another element. By using this method, we can verify remote measurements of the above mentioned geochemical components, and identify regions on the Moon where these correlation laws do not apply. These derivations can be explained by i) an erroneous measurement or ii) by an exotic mixture of elements in the lunar soil. Based on these considerations. conclusions can be drawn about the attribute uncertainty of geochemical measurements in the lunar soil. A special observation of this work was that most theoretically obtained values fit well to the measured ones. High derivations however appear mainly in the Near Side lunar mare regions where the correlation model does not fit.
机译:提出了一种评价月内对数量的不确定性的新方法。与大多数陆地应用相反,由于有限数量的地面控制点及其减少的空间延伸,无法通过原位测量来验证月球GIS数据。本调查在不使用地面检查的情况下评估月球元素丰富测量的不确定性,而是通过统计评估和数据集的比较。我们发现主要的元素(氧气,铁,铝,钛,硅和镁)在彼此之间显示出不同的相关性。这允许通过与另一个元素的相关性导出其值来计算元素的丰度。通过使用这种方法,我们可以验证上述地球化学组件的远程测量,并识别月球上的区域,其中这些相关法不适用于这些相关法。这些衍生可以通过i)通过月球土壤中的异种元素混合物来解释。基于这些考虑因素。结论可以绘制月球土壤中地球化学测量的属性不确定性。对这项工作的特殊观察是大多数理论上所获得的值适合测量的值。然而,高导出主要出现在关联模型不适合的近侧月球母马拉地区。

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