Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review

• Published in: Geoderma Vol. 352; pp. 395 - 413
• Main Authors: Lamichhane, Sushil, Kumar, Lalit, Wilson, Brian
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.10.2019
• Subjects: Algorithms; Australia; China; climate; computer-aided mapping; Covariates; data collection; Digital soil mapping; kriging; land use; linear models; prediction; regression analysis; Soil organic carbon; soil surveys; support vector machines; Systematic mapping; topography; uncertainty; United States; Validation; vegetation index; Australia; United States; China; Validation; Algorithms; Digital soil mapping; Soil organic carbon; Covariates; Systematic mapping

This article reviews the current research and applications of various digital soil mapping (DSM) techniques used to map Soil Organic Carbon (SOC) concentration and stocks following a systematic mapping approach from 2013 until present (18 February 2019). It is intended that this review of relevant l...