Loading...

Ag DataHub

A data hub in Ethiopia that integrates the disparate systems/data available at the different government agencies that work in the agriculture domain at the federal and regional levels.

Project

About Us
News
Events

Important Links

Persistent URIs
Metadata Standards
Validation Survey

How to

Help Center
Developers
Privacy Policy

Contacts

info@datahub.moa.gov.et

Copyright ©2026 Ministry of Agriculture

powered byAcatech Technology

sand_30-60cm_mean - SoilGrids250m 2.0 - Sand content - Ag Datahub

Datasets
SoilGrids250m 2.0 - Sand content
sand_30-60cm_mean

WMS

Map service (WMS)Part of SoilGrids250m 2.0 - Sand content

sand_30-60cm_mean

Connect to the serviceBack to the dataset

Preview

maps.isric.org

Asking the service for this layer…

Drawn live by the publisher's service, so it shows the data as it is today. Drag to move, use the buttons to zoom.

Legend of sand_30-60cm_mean

Connect to this service

A map service draws this layer as images on request. Use the address and layer name below to add it to desktop GIS or to a web map.

Service address

https://maps.isric.org/mapserv?map=/map/sand.map

Layer name

sand_30-60cm_mean

In QGIS, open Layer › Add Layer › Add WMS/WMTS Layer and create a new connection.
Paste the service address as the connection's URL and connect.
Pick sand_30-60cm_mean from the list and add it to your map.

See everything this service offers

Details

Format: WMS
Kind of access: Map service (WMS)
Protocol: OGC:WMS
Address: https://maps.isric.org/mapserv?map=/map/sand.map
Added to this catalogue: 6 Oct 2026
Last updated here: 6 Oct 2026
Resource identifier: 87bee8e4-dc45-49eb-b104-1e62aa0028d2

At a glance

Format: WMS
Access: Map service (WMS)
Kept at: maps.isric.org
Licence: Attribution 4.0 International (CC BY 4.0), https://creativecommons.org/licenses/by/4.0/

Part of the dataset

SoilGrids250m 2.0 - Sand content

FDRE - Ministry of Agriculture (MoA)

Sand content (50/63-2000 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. To visualize these layers please use www.soilgrids.org.

In this dataset 28

WMSsand_0-5cm_mean
WMSsand_0-5cm_Q0.05
WMSsand_0-5cm_Q0.5
WMSsand_0-5cm_Q0.95
WMSsand_100-200cm_mean
WMSsand_100-200cm_Q0.05
WMSsand_100-200cm_Q0.5
WMSsand_100-200cm_Q0.95
WMSsand_15-30cm_mean
WMSsand_15-30cm_Q0.05
WMSsand_15-30cm_Q0.5
WMSsand_15-30cm_Q0.95
WMSsand_30-60cm_mean
WMSsand_30-60cm_Q0.05
WMSsand_30-60cm_Q0.5
WMSsand_30-60cm_Q0.95
WMSsand_5-15cm_mean
WMSsand_5-15cm_Q0.05
WMSsand_5-15cm_Q0.5
WMSsand_5-15cm_Q0.95
WMSsand_60-100cm_mean
WMSsand_60-100cm_Q0.05
WMSsand_60-100cm_Q0.5
WMSsand_60-100cm_Q0.95
LINKDownload (WebDAV)
LINKProject webpage
LINKFAQ
LINKScientific paper