SoilGrids250m

SoilGrids is a system for global digital soil mapping that uses state-of-the-art machine learning methods to map the spatial distribution of soil properties across the globe. SoilGrids prediction models are fitted using over 230,000 soil profile observations from the WoSIS database and a series of environmental covariates. Covariates were selected from a pool of over 400 environmental layers from Earth observation derived products and other environmental information including climate, land cover, and terrain morphology. The outputs of SoilGrids are global soil property maps at six standard depth intervals at a spatial resolution of 250 meters.

IdentificationAbout this resource

Alternate Identifier: 8315df49-bde3-4138-8f71-9b722f3afd06

Publication Date: 2021-06-14

Title: SoilGrids250m

Short Name: SoilGrids

Abstract: SoilGrids is a system for global digital soil mapping that uses state-of-the-art machine learning methods to map the spatial distribution of soil properties across the globe. SoilGrids prediction models are fitted using over 230,000 soil profile observations from the WoSIS database and a series of environmental covariates. Covariates were selected from a pool of over 400 environmental layers from Earth observation derived products and other environmental information including climate, land cover, and terrain morphology. The outputs of SoilGrids are global soil property maps at six standard depth intervals at a spatial resolution of 250 meters.

Dataset Language: English

Dataset Creator: ISRIC – World Soil Information - Laura Poggio (Research Associate)

Dataset Creator: ISRIC – World Soil Information - Luis M. de Sousa (Geoinformatics Scientist)

Dataset Creator: ISRIC – World Soil Information - Niels H. Batjes (Senior soil science expert and coordinator WDC-Soils)

Dataset Creator: ISRIC – World Soil Information - Gerard B. M. Heuvelink (Professor)

Dataset Creator: ISRIC – World Soil Information - Bas Kempen (Operations Manger)

Dataset Creator: ISRIC – World Soil Information - Eloi Ribeiro (Geoinformatics)

Dataset Creator: ISRIC – World Soil Information - David Rossiter (Guest Researcher)

Metadata Provider: SIB Swiss Institute of Bioinformatics - Chiara Bortoluzzi (Data Manager)

Dataset Contact: ISRIC - World Soil Information - SoilGrids Team ()

Keywords (None)

Soil

Keywords ()

Digital soil mapping

Geographic Coverage

Geographic Description: Global

Bounding Box

West Bounding Coordinate: -180

East Bounding Coordinate: 180

North Bounding Coordinate: 84

South Bounding Coordinate: -56

Bounding Altitudes

Minimum

Maximum

Unit

Temporal Coverage

Range of Dates

Begin Date

End Date

resourceLicensesLicense Information

Intellectual Rights: The SoilGrids maps are publicly available under the CC-BY-4.0 Licence.

Resource License

License Name: Creative Commons

URL: https://creativecommons.org/licenses/by/4.0/

Distribution

Online

A brief description of the the content of online URL.: Mapserver entry page SoilGrids250m - WMS

URL: https://maps.isric.org/

Distribution

Online

A brief description of the the content of online URL.: Mapserver entry page SoilGrids250m - WCS

URL: https://maps.isric.org/

Distribution

Online

A brief description of the the content of online URL.: SoilGrids250m WebDAV

URL: https://files.isric.org/soilgrids/latest/data/

Distribution

Online

A brief description of the the content of online URL.: SoilGrids250m Google Earth Engine

URL: https://git.wur.nl/isric/soilgrids/soilgrids.notebooks/-/blob/master/markdown/access_on_gee.md

Distribution

Online

A brief description of the the content of online URL.: SoilGrids250m Google Earth Engine

URL: https://git.wur.nl/isric/soilgrids/soilgrids.notebooks/-/blob/master/markdown/access_on_gee.md

• Project

Title: SoilGrids — global gridded soil information

Abstract: SoilGrids is a system for global digital soil mapping that uses state-of-the-art machine learning methods to map the spatial distribution of soil properties across the globe. SoilGrids prediction models are fitted using over 230,000 soil profile observations from the WoSIS database and a series of environmental covariates. Covariates were selected from a pool of over 400 environmental layers from Earth observation derived products and other environmental information including climate, land cover, and terrain morphology. The outputs of SoilGrids are global soil property maps at six standard depth intervals at a spatial resolution of 250 meters.

Personnel

Organization Name: SoilGrids is developed and maintained by a team of scientists from the International Soil Reference and Information Centre in Wageningen, the Netherlands

Individual Name

Given Name

Surname

Position Name

• Method

Method Step

Description: SoilGrids uses state-of-the-art statistical methods for digital soil mapping, relying exclusively on open source tools. The models are tailored per soil property and fitted using documented models. For each property, a global model is calibrated using a spatially stratified 10-fold cross-validation procedure. The model produces values at each map location (cell) and standard depth. The prediction distribution is captured in four different maps reporting its 5%, 50%, and 95% quantiles, and the mean. The mean represents the 'expected value' and provides an unbiased prediction of the soil property, whereas the median yields that value for which there is a 50% probability that the true soil property value is greater and a 50% probability that the true value is smaller. The 0.05 and 0.95 quantiles present the lower and upper boundaries of a 90% prediction interval and may be used as a measure of prediction uncertainty. This interval presents a value range that contains the true soil property value for each cell (which one would measure from a soil sample taken at the centre of the cell) with 90% probability. Quantiles of the distribution were computed with Quantile Regression Forests as implemented in the ranger package in R. The mean was computed using the default random forests algorithm. All elements have the same name, a triplet separated by underscores: property_depthInterval_quantile. For instance, to download the 5%-quantile prediction of coarse fragments in the 5 cm depth interval, the user must fetch the files 'cfvo_5-15cm_Q05.vrt' and 'cfvo_5-15cm_Q05.ovr' plus the 'cfvo_5-15cm_Q05' folder.

Citation: Poggio, L., de Sousa, L. M., Batjes, N. H., Heuvelink, G. B. M., Kempen, B., Ribeiro, E., and Rossiter, D.: SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty, SOIL, 7, 217–240, 2021. https://doi.org/10.5194/soil-7-217-2021

Software

Title

Version: 2.0

Sampling

Study Extent

Sampling Description

• Data Table

Name: SoilGrids250m

Physical

Data Format

Externally Defined Format

Format Name: VRT, OVR, GeoTIFF

Attribute List

Attribute

Name: bdod

Label: Bulk density

Definition: Bulk density of the fine earth fraction

Standard Unit: kilogramPerCubicDecimeter

Attribute

Name: cec

Label: Cation exchange capacity

Definition: Cation exchange capacity of the soil

Standard Unit: cmol(c)/kg

Attribute

Name: cfvo

Label: Coarse fragments

Definition: Volumetric fraction of coarse fragments (>2 mm)

Standard Unit: cm3/100cm3 (vol%)

Attribute

Name: clay

Label: Clay

Definition: Proportion of clay particles (more than 0.002 mm) in the fine earth fraction

Standard Unit: g/100g (%)

Attribute

Name: nitrogen

Label: Total nitrogen

Definition: Total nitrogen (N)

Standard Unit: gramPerKilo

Attribute

Name: ocd

Label: Organic carbon density

Definition

Standard Unit: kilogramPerMeterCubed

Attribute

Name: ocs

Label: Organic carbon stock

Definition

Standard Unit: kilogramPerMeterCubed

Attribute

Name: phh2o

Label: Soil pH

Definition

Standard Unit: pH

Attribute

Name: sand

Label: Sand

Definition: Proportion of sand particles (>0.05/0.063 mm) in the fine earth fraction

Standard Unit: g/100g (%)

Attribute

Name: silt

Label: Silt

Definition: Proportion of silt particles (higher or equal to 0.002 mm and lower or equal to 0.05/0.063 mm) in the fine earth fraction

Standard Unit: g/100g (%)

Attribute

Name: soc

Label: Soil organic carbon

Definition: Soil organic carbon content in the fine earth fraction

Standard Unit: gramPerKilo

Default

IdentificationAbout this resource

Geographic Coverage

Bounding Box

Bounding Altitudes

Temporal Coverage

Range of Dates

resourceLicensesLicense Information

Resource License

Distribution

Online

Distribution

Online

Distribution

Online

Distribution

Online

Distribution

Online

Project

• Project

Personnel

Individual Name

Methods

• Method

Method Step

Software

Sampling

Data Tables

• Data Table

Physical

Data Format

Externally Defined Format

Attribute List

Attribute

Attribute

Attribute

Attribute

Attribute

Attribute

Attribute

Attribute

Attribute

Attribute

Attribute