Mapping Long-Term Soil Organic Carbon Stocks Across the Conterminous United States with Machine Learning.

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Bibliographic Details
Title: Mapping Long-Term Soil Organic Carbon Stocks Across the Conterminous United States with Machine Learning.
Authors: Rubin HJ; Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA., Zhang X; Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA., Fu JS; Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA; Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA. Electronic address: jsfu@utk.edu., Yu TE; Department of Agricultural and Resource Economics, University of Tennessee, Knoxville, TN 37996, USA.
Source: Environmental research [Environ Res] 2026 Jul 17, pp. 125271. Date of Electronic Publication: 2026 Jul 17.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0147621 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0953 (Electronic) Linking ISSN: 00139351 NLM ISO Abbreviation: Environ Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1096-0953
DOI:10.1016/j.envres.2026.125271