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

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.

Resources

Name Format Description Link
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.3334%2FORNLDAAC%2F1754
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/cms/CMS_SOC_Mexico/
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/CMS/guides/CMS_SOC_Mexico.html
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/1754
33 Soil Organic Carbon Estimates for Mexico at 1-m Depth and 90-m Resolution,1999-2009: CMS_SOC_Mexico.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/CMS_SOC_Mexico/comp/CMS_SOC_Mexico.pdf
34 (a) Digital map of soil organic carbon (kg m2) at 1m depth and 90m spatial resolution, the black line represents country borders. The black and blue colored areas are urban areas and water bodies. (b) Zoom in, to an area in northern Mexico to visualize an example of the level of detail achieved by mapping across 90m grids. (c) Percentage of errors in the predictive model (uncertainty map). (d) Zoom in to the error map across an area in northern Mexico to visualize the prediction error with higher spatial detail. https://daac.ornl.gov/CMS/guides/CMS_SOC_Mexico_Fig1.png

Tags

  • soils
  • land-surface
  • earth-science

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