Parent material is the main source for soil textural, mineralogical, and other physical attributes. The knowledge over this factor is explored generally in low scale geology maps, insufficient for most users. Remote sensing can offer assistance in this regard, since it allows the evaluation of soil properties, as largely indicated in literature, being a potential tool to delineate parent material. Thus, we explored a multi temporal Landsat image composition with bare soil reflectance to extract soil properties and distinguish discrepant lithological classes at the western plateau, São Paulo State, Brazil. The area is 247,737 ha large, where 981 soil samples were collected at 0–20 cm depth. We acquired the synthetic soil image and linked the pixel's spectra with soil attributes. We performed a digital soil mapping procedure to generate maps of attributes related to parent material. The soil maps offered a great input on identifying the transitions between sandstone and basalt as soils from these formations have significant differences in clay, sand, Fe₂O₃ and TiO₂ contents. Therefore, the use of remote sensing coupled with digital soil mapping is a strong alternative to conventional methods to improve low scale PM maps to enhance detail on regional and local scales.

母体材料是土壤质地、矿物学和其他物理属性的主要来源。关于这个因素的知识通常在低比例的地质地图中进行探索，对于大多数用户来说是不够的。遥感可以在这方面提供帮助，因为它允许评估土壤特性，正如文献中主要指出的那样，是描绘母体材料的潜在工具。因此，我们探索了具有裸土反射率的多时相 Landsat 图像组合，以提取土壤特性并区分巴西圣保罗州西部高原的差异岩性类别。该区域面积为 247,737 公顷，在 0-20 厘米深度收集了 981 个土壤样品。我们获得了合成土壤图像并将像素的光谱与土壤属性联系起来。我们执行了数字土壤制图程序以生成与母体材料相关的属性图。土壤图为识别砂岩和玄武岩之间的过渡提供了很大的输入，因为这些地层的土壤在粘土、沙子、铁元素方面存在显着差异₂ O ₃和TiO ₂含量。因此，遥感与数字土壤测绘相结合的使用是传统方法的有力替代，以改进低比例 PM 地图，以增强区域和局部尺度的细节。