Table 4 is related to partial correlation analysis with consideration of spkoil properties, and Figure 4 is related to the principal component analysis.
This manuscript attempts to integrate different preprocessing methods (8 kinds), sample grouping designs (88/26, 75%/25%), and soil spectral data to predict 15 soil properties by building PLSR models. Although this manuscript is about the application of proximal remote sensing technology to the prediction of soil properties in mountainous areas, the research focus of this manuscript is not prominent, and the conclusions drawn are not very clear. In other words, the manuscript feels like a lot of work has been done, but it doesn't specify what the important conclusions and innovations are. The abstract and conclusion parts lack conciseness and prominence. Especially in the results and discussion section, most of the content is to state the experimental results (correlation of data), while the discussion (eg. prediction mechanism, prediction accuracy, etc.) is not in-depth, and the analysis of model accuracy is rarely involved in the discussion.