100 m soil landscape grids of Canada

Abstract With the latest collection of soil point and available co-variables data, 100 m grids of soil type and selected soil attributes of Canada are developed. While model-based statistical validations during the machine learning runs are satisfactory, limited independent statistical validations a...

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Bibliographic Details
Main Authors: Xiaoyuan Geng, Juanxia He, Victoria Grima, Yefang Jiang, Maggi Tetreau, Stephen Crittenden, Simon Kiley, Albert. J. VandenBygaart, Jason Vanrobaeys
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-05460-4
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Summary:Abstract With the latest collection of soil point and available co-variables data, 100 m grids of soil type and selected soil attributes of Canada are developed. While model-based statistical validations during the machine learning runs are satisfactory, limited independent statistical validations are also made. The 100 m soil landscape grids can be used for national and regional soil organic carbon stock inventory and carbon sequestration assessment. There are also potential applications for soil health, soil erosion, land suitability and other large area-based modelling and applications.
ISSN:2052-4463