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...

Raster-based land cover dataset representing the full South African landscape for the full year 2018. Derived from 20m Sentinel 2 imagery acquired between 01 January 2018 and 31 December 2018. Land cover information classes based on new Gazetted land cover standards and legend content used in 2013-14 national land cover data. All land cover and land-use classes generated using automated modelling procedures for full operational repeatability and change detection. Class 32 of the 2018 South...

Total carbon per land unit includes the soil organic carbon as calculated from ISRIC soil data as well as the carbon computed from biomass for the herbaceous, woody and litter vegetation components. SANLC2018 was used to allocated the total carbon proportionally to different land cover classes.

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

Total woody biomass is the sum of the above ground and below ground woody biomass as proportionally divided per land cover for 2014. Values in this layer is in gC.m2

Total herbaceous biomass is the sum of the above ground and below ground biomass per land unit, proportionally allocated to land cover classes using the NLC1990

The historical survey data were transcribed from the Department of Agriculture `Report of the Marine Biologist` (pre-1900) and `Report of the Government Biologist` (1900-1904) publications for the period of 1897-1904. The data from 1920-1949 were transcribed from the Union of South Africa series of `Fisheries and Marine Biological Survey` reports, which in 1935 became the Department of Commerce and Industries` `Fisheries and Marine Biological Survey Division` reports, and from 1937 onwards were published as `The...

The 1990 South African National land cover dataset produced by (© GEOTERRAIMAGE - 2014) as a commercial data product was generated from digital, multi-seasonal Landsat 4/5 multispectral imagery, acquired between April 1989 and October 1993. 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...

The 1990 South African National land cover dataset produced by (© GEOTERRAIMAGE - 2014) as a commercial data product was generated from digital, multi-seasonal Landsat 4/5 multispectral imagery, acquired between April 1989 and October 1993. 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...

The 1990 South African National land cover dataset produced by (© GEOTERRAIMAGE - 2014) as a commercial data product was generated from digital, multi-seasonal Landsat 4/5 multispectral imagery, acquired between April 1989 and October 1993. 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...

The 1990 South African National land cover dataset produced by (© GEOTERRAIMAGE - 2014) as a commercial data product was generated from digital, multi-seasonal Landsat 4/5 multispectral imagery, acquired between April 1989 and October 1993. 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...

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...

The above ground herbaceous biomass is a very small fraction of the total terrestrial organic carbon stocks and it was calculated with the same model as in the 2014 NTCSA dataset. The equation incorporates Rain Use Efficiency, amount of rain required to enable production per year and tree cover fraction. A mean herbaceous layer is modelled based on mean long term rainfall. The above ground herbaceous biomass was based on harvest factors obtained from the...

ISRIC soil data is available in 6 depths of which the 0-5, 5-15 and 15-30cm layers were aggregated to obtain the soil organic carbon for topsoil. The values of this layer was adjusted by taking land cover / land use into account by using the SANLC2018

ISRIC Africa SoiGrids data were used to calculate a reference layer of soil organic carbon (SOC). It was done by using the organic carbon content and bulk density data sets available at 250m resolution and for 6 different depths. The data was aggregated to a depth of 30cm for topsoil and 100cm for subsoil. The impact of land use on the SOC is included by incorportating the 1990 National Land Cover data set for South...

Event rainfall data collected by Davis Instruments (2011-2017) and Texas Electronics (2017- current) tipping bucket gauge installed at 1.2m above ground at 472 masl in the Langriver catchment of the Jonkershoek valley in the Western Cape of South Africa. Data recorded by a Pendant Event logger (UA-003-64, Onset, Massachusetts, U.S.A). Tipping bucket calibrated to a 0.2 mm (Davis) or 0.254 mm (Texas) per tip event. (Collection continuing, contact SAEON for updated datasets)

This data was collected and digitised by Thamsanqa Alfred Shezi as part of his thesis, "Impact of livestock grazing intensity on the plant diversity of species-rich montane grassland in the northern Drakensberg, South Africa". Soil environmental variables determined for each plot included levels of P, K, Ca, N, Mg, Zn, Mn, Cu, exchangeable acidity, acidity saturation, total cations, pH (KCl), organic carbon and percent clay. Soil form at each sampling location was identified by extracting...

This data was collected and digitised by Thamsanqa Alfred Shezi as part of his thesis, "Impact of livestock grazing intensity on the plant diversity of species-rich montane grassland in the northern Drakensberg, South Africa". All 90 plots (5 x 5 m) were placed along spurs and at as regular distances as possible to each other to capture the gradient. Every species within a plot was listed and its cover scored using the Domin scale (Jager...

A subsurface-mounted, upward-looking, 75 kHz RD Instruments Acoustic Doppler Current Profiler (ADCP) was deployed at location M10 (34.5060°S; 14.9840°E), along the South Atlantic MOC Basin-scale Array (SAMBA) transect in the Cape Basin region of the South Atlantic Ocean. A temperature sensor on the instrument measured hourly temperature readings between 20 September 2014 and 02 December 2015, at a depth of 449m. These hourly values were averaged to daily means. Daily values were only generated for...

A subsurface-mounted, upward-looking, 75 kHz RD Instruments Acoustic Doppler Current Profiler (ADCP) was deployed at location M10 (34.5060°S; 14.9800°E), along the South Atlantic MOC Basin-scale Array (SAMBA) transect in the Cape Basin region of the South Atlantic Ocean. A temperature sensor on the instrument measured hourly temperature readings between 03 December 2015 17h00 and 11 April 2017 04h00, at a depth of 453m. The data were then formatted in a .txt file with data values...

The analyses of future climate change over South Africa as described in the Third National Communication, are from the projections of the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) and Assessment Report (AR) 5 of the Intergovernmental Panel on Climate Change (IPCC). These projections are used to inform on the uncertainty range of the large-scale climate change futures over the southern African region. At the Council for Scientific...

The analyses of future climate change over South Africa as described in the Third National Communication, are from the projections of the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) and Assessment Report (AR) 5 of the Intergovernmental Panel on Climate Change (IPCC). These projections are used to inform on the uncertainty range of the large-scale climate change futures over the southern African region. At the Council for Scientific...

The analyses of future climate change over South Africa as described in the Third National Communication, are from the projections of the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) and Assessment Report (AR) 5 of the Intergovernmental Panel on Climate Change (IPCC). These projections are used to inform on the uncertainty range of the large-scale climate change futures over the southern African region. At the Council for Scientific...

The analyses of future climate change over South Africa as described in the Third National Communication, are from the projections of the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) and Assessment Report (AR) 5 of the Intergovernmental Panel on Climate Change (IPCC). These projections are used to inform on the uncertainty range of the large-scale climate change futures over the southern African region. At the Council for Scientific...

The analyses of future climate change over South Africa as described in the Third National Communication, are from the projections of the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) and Assessment Report (AR) 5 of the Intergovernmental Panel on Climate Change (IPCC). These projections are used to inform on the uncertainty range of the large-scale climate change futures over the southern African region. At the Council for Scientific...