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

    Metadata Updated: December 6, 2023

    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.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date December 1, 2022
    Metadata Updated Date December 6, 2023

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    (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.

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date December 1, 2022
    Metadata Updated Date December 6, 2023
    Publisher ORNL_DAAC
    Maintainer
    Identifier C2389083479-ORNL_CLOUD
    Data First Published 2020-03-26
    Language en-US
    Data Last Modified 2023-06-12
    Category CMS, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Citation 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
    Graphic Preview Description (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.
    Graphic Preview File https://daac.ornl.gov/CMS/guides/CMS_SOC_Mexico_Fig1.png
    Harvest Object Id 817b70d7-f95d-4214-b86b-39fb5c0ee721
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/1754
    Metadata Type geospatial
    Old Spatial -117.12 14.53 -86.74 32.72
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 3d38f2303b891219f6b9b6fa94017ee16755b88fa04051749b22a9b431446b50
    Source Schema Version 1.1
    Spatial
    Temporal 1999-01-01T00:00:00Z/2009-12-31T23:59:59Z

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