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Soil Organic Carbon Estimates and Uncertainty at 1-m Depth across Mexico, 1999-2009

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/1754
Version1
Project
Published2020-03-26
Updated2020-03-26
Usage22 downloads

Description

This dataset provides an estimate of soil organic carbon (SOC) in the top one meter of soil across Mexico at a 90-m resolution for the period 1999-2009. Carbon estimates (kg/m2) are based on a field data collection of 2852 soil profiles by the National Institute for Statistics and Geography (INEGI). The profile data were used for the development of a predictive model along with a set of environmental covariates that were harmonized in a regular grid of 90x90 m2 across all Mexican states. The base of reference was the digital elevation model (DEM) of the INEGI at 90-m spatial resolution. A model ensemble of regression trees with a recursive elimination of variables explained 54% of the total variability using a cross-validation technique of independent samples. The error associated with the predictive model estimates of SOC is provided. A summary of the total estimated SOC per state, statistical description of the modeled SOC data, and the number of pixels modeled for each state are also provided.

Science Keywords

  • LAND SURFACE
  • SOILS
  • CARBON
  • SOIL ORGANIC CARBON (SOC)
  • LAND SURFACE
  • SOILS
  • SOIL DEPTH

Data Use and Citation

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy.

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Crosscite Citation Formatter
Guevara, M., and R. Vargas. 2020. Soil Organic Carbon Estimates and Uncertainty at 1-m Depth across Mexico, 1999-2009. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1754

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Dataset has 1 companion files.

  • CMS_SOC_Mexico.pdf