This dataset provides two sets of gridded estimates of estimated soil organic carbon (SOC) and associated uncertainties for 0-30 cm topsoil layer in kg SOC/m2 at 250-m resolution across Mexico and the conterminous USA (CONUS). The first set of gridded SOC estimates, for the period 1991-2010, were derived using multi-source SOC field data and multiple environmental variables representative of the soil forming environment coupled with a machine learning approach (i.e., simulated annealing) and regression tree ensemble modeling for optimized SOC prediction. Predictions of gridded SOC and uncertainty based on multiple bulk density (BD) pedotransfer functions (PFTs) are also included. The second set of gridded SOC estimates, for the period 2009-2011, were derived from two fully independent validation field datasets from across both countries. Note that the same environmental variables and modeling approach used for the first set of estimates were applied to the second set to assess the models' sensitivity to multiple SOC data sources. The SOC field data for the first set of estimates are provided in this dataset and the other data sources, including the two independent validation field datasets, are referenced.
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Spatial Extent: | Bounding Rectangle: N: 49.61 S: 11.32 E: -65.58 W: -129.79 |
Data Format(s): | Distribution: GeoTIFF |
Temporal Extent: | Platform(s): | Environmental Modeling | |
Data Center(s): | ORNL_DAAC | Instrument(s): | Computer |
Version: | 1 |
10.3334/ORNLDAAC/1737
https://doi.org
Creation | |
Last Revision |
3
Variables mapped on uniform space-time grid scales with completeness and consistency
Complete
Project Short Name | Campaigns | Project Dates |
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CMS | No campaigns listed. | No dates provided. |
Coverage Type | Zone Identifier | Geometry | Granule Representation |
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HORIZONTAL | CARTESIAN | CARTESIAN |
ORNL DAAC User Services Office, P.O. Box 2008, MS 6407, Oak Ridge National Laboratory
Oak Ridge,
Tennessee
37831-6407
(865) 241-3952
There are no listed data contacts for this collection.
Format: GeoTIFF
Format Type: Native
Fees: 0