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South African Land Cover 2014 Class D Natural Vegetation Resampled to a 1km Grid

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Citation (What is it about and who created it or owns it)
Title South African Land Cover 2014 Class D Natural Vegetation Resampled to a 1km Grid
Publication Date2019
PublisherDepartment of Environment, Forestry and Fisheries
Creator (Author/ Responsible Party) Mark Thompson , Affiliation: GeoTerra Image (GTI) Pty Ltd, PO Box 295, Persequor Park, 0020, Pretoria, South Africa
Contributor ProjectLeader : Graham von Maltitz , Affiliation: CSIR, PO Box 395, Pretoria, 0001, South Africa
Contributor ProjectMember : Marc Pienaar , Affiliation: SAEON, PO Box 2600, Pretoria, 0001, South Africa, Email: marc@saeon.ac.za
Contributor ContactPerson : Claire Davis-Reddy , Affiliation: SAEON, PO Box 2600, Pretoria, 0001, South Africa, Email: claire@saeon.ac.za
Permanent Identifier 10.15493/DEA.CARBON.10000070 (DOI)
Online Resources
Service South African Land Cover 2014 Class D Na ...
Download South African Land Cover 2014 Class D Na ...
Information South African Land Cover 2014 Class D Na ...
Usage, Restrictions, Caveat
Licencing and Usage Rights Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0 )
Methodology
The 2013-14 South African National land cover dataset produced by (© GEOTERRAIMAGE - 2014) as a commercial data product was generated from digital, multi-seasonal Landsat 8 multispectral imagery, acquired between April 2013 and March 2014. In excess of 600 Landsat images were used to generate the land cover information, based on an average of 8 different seasonal image acquisition dates, within each of the 76 x image frames required to cover South Africa. The land cover dataset, which covers the whole of South Africa, is presented in a map-corrected, raster format, based on 30x30m cells equivalent to the image resolution of the source Landsat 8 multi-spectral imagery. The dataset contains 72 x land cover / use information classes, covering a wide range of natural and man-made landscape characteristics. The original land cover dataset was processed in UTM (north) / WGS84 map projection format based on the Landsat 8 standard map projection format as provided by the USGS. Class 5–9 of the 2013-14 South African National land cover dataset was clustered to derive South African land cover 2014 Class D Natural Vegetation for the current product and resampled to a 1000 x 1000m grid resolution Albers Equal Area map projection +proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs
Data Dictionary/ Schema
Dictionary URL or Schemahttp://datacite.org/schema/kernel-3
Coverage (Main Dimensions of the Data)
Start Date2014
End Date2014
Date ( Accepted )
Date ( Issued )
Subjects land cover
Subjects natural vegetation
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