In this study, a map of soil parent material is created to support the delineation of soil properties and classes of the Narrabri Shire, NSW. Currently, available information in this study area is geological and lithological maps at a scale of 1:250 000 to 1:1 000 000. These maps are not detailed, and the description in some areas is not accurate. Thus, this study created a new parent material map using information from the geological and lithology information, barest earth satellite imagery, gamma radiometric, topography, prior soil map and digital soil texture maps (clay and sand content). Based on interpretation and parent material observations, 18 parent material classes were delineated in the area. The 18 classes were then modelled using Linear Discriminant Analysis using Digital Elevation Model, slope, topographic wetness index, Gamma potassium (K) and thorium (Th), Ratio K to Th and soil visible and near infrared (NIR) reflectance (created using RGB and NIR bands) as covariates. This modelling process was iterated 50 times, and the most frequently predicted class was assigned to each of the 90 m × 90 m pixels throughout the study area. A map of the frequency of the predicted classes was also created to assess modelling uncertainty. The new parent material map consists of sedimentary residuals (sandstone), volcanic materials (basalt), alluvium and colluvium. The alluvium can be distinguished into six classes according to slope, soil information from satellite images and soil texture. The colluvium consists of three classes with a characteristic of high clay content (smectitic) and brown in colour (kaolinitic). Using similar approaches, such soil parent material or substrate maps could be developed for different regions in Australia. This method generated unique soil parent material classes combining stratigraphy, lithology and geomorphology.

在这项研究中，创建了土壤母体材料图，以支持对新南威尔士州纳拉比里郡的土壤性质和类别的描述。当前，该研究区域中可用的信息是比例为1：250 000到1：1 000 000的地质和岩性图。这些图不详细，某些区域的描述也不准确。因此，本研究使用来自地质和岩性信息，重金属卫星图像，γ辐射，地形，先前土壤图和数字土壤质地图（粘土和砂含量）的信息创建了新的母体材料图。根据解释和母材观察，在该区域中划定了18种母材类别。然后使用线性判别分析（使用数字高程模型），坡度，地形湿度指数，伽玛钾（K）和or（Th），K与Th之比以及土壤可见光和近红外（NIR）反射率（使用RGB和NIR波段创建）作为协变量。该建模过程重复了50次，并且将最常预测的类分配给整个研究区域中90 m×90 m像素中的每个像素。还创建了预测类的频率图，以评估建模的不确定性。新的母体材料图包括沉积残余物（砂岩），火山岩材料（玄武岩），冲积层和冲积层。根据坡度，卫星图像中的土壤信息和土壤质地，可将冲积层分为六类。该共沸物分为三类，具有高粘土含量（明胶）和棕色（高岭土）的特征。使用类似的方法，可以为澳大利亚的不同地区开发此类土壤母体材料或底物图。该方法生成了结合地层学，岩性和地貌学的独特的土壤母体材料类别。