You are here: Home → Institutions → SA Carbon Sinks Atlas → SA Carbon Sinks Atlas → Metadata → Soil loss from ISRIC reference data (2018)

Soil loss from ISRIC reference data (2018)

{'subtitle': '', 'contributors': [{'contributorName': 'Marc Pienaar', 'contributorType': 'ProjectMember', 'affiliation': 'SAEON, PO Box 2600, Pretoria, 0001, South Africa'}, {'contributorName': 'Karen Steenkamp', 'contributorType': 'ContactPerson', 'affiliation': 'CSIR,PO Box 395, Pretoria, 0001, South Africa'}], 'userId': '', 'xsiSchema': 'http://datacite.org/schema/kernel-3', 'titles': [{'titleType': '', 'title': 'Soil loss from ISRIC reference data (2018)'}], 'owner': '', 'subjects': [{'subjectScheme': '', 'schemeURI': '', 'subject': 'Soil loss'}, {'subjectScheme': '', 'schemeURI': '', 'subject': ' SANLC2018'}, {'subjectScheme': '', 'schemeURI': '', 'subject': ' ISRIC soil data'}, {'subjectScheme': '', 'schemeURI': '', 'subject': ' CarbonSinksAtlasV3'}], 'additionalFields': {'coverageBegin': '2018', 'onlineResources': [{'href': 'http://dap.saeon.ac.za/thredds/catalog/SAEON.uLwazi/2019.CarbonSinks/1.0/catalog.html?dataset=SAEON.uLwazi/2019.CarbonSinks/1.0/Soil_loss_from_reference_2018_t_ha.nc', 'func': 'service', 'desc': 'Soil loss from ISRIC reference data (2018)'}, {'href': 'https://nimbus.saeon.ac.za/index.php/s/mnct9JDmDD3W3XJ', 'func': 'download', 'desc': 'Soil loss from ISRIC reference data (2018)'}], 'coverageEnd': '2018'}, 'geoLocations': [{'geoLocationBox': '-34.92563587 15.9208908 -21.94887924 33.55348867'}], 'userVersion': '', 'description': [{'descriptionType': '', 'description': 'The total carbon per land unit in South Africa was determined with ISRIC Africa SoilGrids data and vegetation biomass. By using the South Africal National Land Cover 2018 product the estimated soil loss for the country could be calculated. The ISRIC data was released in 2015'}], 'dates': [{'date': '', 'dateType': 'Accepted'}, {'date': '', 'dateType': 'Issued'}], 'relatedIdentifiers': [], 'publisher': 'Department of Environment, Forestry and Fisheries', 'publicationYear': '2020', 'identifier': {'identifier': '10.15493/DEA.CARBON.10000120', 'identifierType': 'DOI'}, 'language': 'eng', 'rights': [{'rightsURI': 'https://creativecommons.org/licenses/by-sa/4.0/', 'rights': 'Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)'}], 'resourceType': 'on', 'sizes': [], 'bounds': [], 'resourceTypeGeneral': '', 'alternateIdentifiers': [], 'creators': [{'affiliation': u'Meiring Naud\xe9 Road, Brummeria, Pretoria', 'creatorName': 'CSIR Smart Places'}]}
Citation (What is it about and who created it or owns it)
Title Soil loss from ISRIC reference data (2018)
Publication Date2020
PublisherDepartment of Environment, Forestry and Fisheries
Creator (Author/ Responsible Party) CSIR Smart Places , Affiliation: Meiring Naudé Road, Brummeria, Pretoria
Contributor ProjectMember : Marc Pienaar , Affiliation: SAEON, PO Box 2600, Pretoria, 0001, South Africa
Contributor ContactPerson : Karen Steenkamp , Affiliation: CSIR,PO Box 395, Pretoria, 0001, South Africa
Permanent Identifier 10.15493/DEA.CARBON.10000120 (DOI)
Online Resources
Service Soil loss from ISRIC reference data (201 ...
Download Soil loss from ISRIC reference data (201 ...
Usage, Restrictions, Caveat
Licencing and Usage Rights Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) ( https://creativecommons.org/licenses/by-sa/4.0/ )
Methodology
The total carbon per land unit in South Africa was determined with ISRIC Africa SoilGrids data and vegetation biomass. By using the South Africal National Land Cover 2018 product the estimated soil loss for the country could be calculated. The ISRIC data was released in 2015
Data Dictionary/ Schema
Dictionary URL or Schemahttp://datacite.org/schema/kernel-3
Coverage (Main Dimensions of the Data)
Start Date2018
End Date2018
Date ( Accepted )
Date ( Issued )
Subjects Soil loss
Subjects SANLC2018
Subjects ISRIC soil data
Subjects CarbonSinksAtlasV3
Metadata Elements
Metadata Standarddatacite
Repository SA Carbon Sinks Atlas
Technical Data Set Parameters
Languageeng
Data Representationon
Spatial Coverage
Data Set Versions and Relationships

------------------------------------------     Download This | Email This     -------------------------------------------