Xiaoyuan Geng

TL;DR: Improvements in the relative accuracy considering the amount of variation explained, in comparison to the previous version of SoilGrids at 1 km spatial resolution, range from 60 to 230%.

TL;DR: In this paper, the authors presented an approach to map soil texture using environmental covariates derived from temporal responses of the land surface to a rainfall event (dynamic feedbacks) collected through remote sensing techniques.

TL;DR: The results show that the variability and singularities of selected soil trace elements as well as their scaling relationships can be characterized by single and joint multifractal parameters, and could be extended to predict selected soil Trace elements at larger regional scales with the aid of geographic information systems.

TL;DR: An overview of the existing soil information holdings in the Canadian Soil Information System (CanSIS) in terms of their scale, coverage, and potential suitability for digital soil mapping applications is provided in this article.

TL;DR: In this article, the authors examined the utility of legacy pedon data for disaggregating soil polygons and the effectiveness of similarity-based prediction for making use of the under- or over-sampled legacy pedons data for the disaggregation.