SoilGrids250m 2.0 - Silt content aggregated 1000m

Silt content (2-50/63 micro meter) mass fraction in ‰ at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.

Date (Publication): 2020-05-04

Citation identifier: 08a4990c-ca15-4871-8d12-ea21dae6b354

Citation identifier: doi: / https://doi.org/10.17027/isric-soilgrids/08a4990c-ca15-4871-8d12-ea21dae6b354

Presentation form: Digital map

Status: Completed

Point of contact

Organisation name	Individual name	Electronic mail address	Role
ISRIC - World Soil Information	Laura Poggio	laura.poggio@isric.org	Point of contact
ISRIC - World Soil Information	Luis de Sousa	luis.desousa@isric.org	Author

Theme

silt
digital soil mapping

Stratum

Soil science

Region

Global

Access constraints: License

Use constraints: License

Other constraints: Attribution 4.0 International (CC BY 4.0), https://creativecommons.org/licenses/by/4.0/

Spatial representation type: Grid

Distance: 1000 m

Language: English

Character set: UTF8

Topic category

Geoscientific information

Begin date: 1905-04-01

End date: 2016-07-05

Reference system identifier: proj4 / +proj=igh +datum=WGS84 +no_defs +towgs84=0,0,0

Distribution format

Name	Version
image/tiff; application=geotiff+cog

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
ISRIC - World Soil Information		soilgrids@isric.org	Publisher

Digital transfer options

OnLine resource

Protocol	Linkage	Name
WWW:LINK-1.0-http--related	https://files.isric.org/soilgrids/latest/data_aggregated/	Download (WebDAV)
WWW:LINK-1.0-http--related	https://isric.org/explore/soilgrids	Project webpage
WWW:LINK-1.0-http--related	https://www.isric.org/explore/soilgrids/faq-soilgrids	FAQ
WWW:LINK-1.0-http--related	https://doi.org/10.5194/soil-7-217-2021	Scientific paper