Identified Critical Biodiversity Areas and Ecological Support Areas in the Municipalities adjacent to the Addo Elephant National Park (namely Blue Crane Route, Ndlambe, Ikwezi and Sundays River); basis of categorization is included in this layer to help inform decision makers

Vegetation map indicating the extent of original (pre-transformation) vegetation types in the following municipalities: Drakenstein, Cape Agulhas Swartland, De Hoop, Overstrand, Swellendam and Theewaterskloof.

This GIS layer shows the outlines of the Strategic Water Source Areas for groundwater (SWSA-gw) that have been delineated as part of a Water Research Commission (WRC) project (K5/2431). Groundwater Strategic Water Source Areas (SWSAs) are areas which combine areas with high groundwater availability as well as where this groundwater forms a nationally important resource. The sub-national Water Source Areas (WSAs) are not nationally strategic as defined in the report but were included to provide a complete coverage. Dataset citation: Le Maitre, D.C., Seyler, H., Holland, M., Smith-Adao, L.B., Nel, J.L., Maherry, A. and Witthüser. K 2018. Strategic Water Source Areas for groundwater (Vector data). One of the outputs of the Identification, Delineation and Importance of the Strategic Water Source Areas of South Africa, Lesotho and Swaziland for Surface Water and Groundwater, WRC Report No TT 754/1/18, Water Research Commission, Pretoria, South Africa.

Special Habitats layer for the Cape Agulhas, De Hoop Management Area, Overstrand, Drakenstein Municipality, Swartland, Swellendam and Theewaterskloof Municipalities.

This GIS layer represents the Strategic Water Source Areas (SWSAs) as “fuzzy blobs” for South Africa, Lesotho and Swaziland. Strategic Water Source Areas are those areas that supply a disproportionately high amount of the country’s mean annual runoff, in relation to their surface area, here defined as those areas that contribute >50% of the country’s mean annual runoff. These areas have been mapped for South Africa, originally derived from a 1 x 1 minute grid (MAR_SWSA) which is also on BGIS. They make up 8% of the land area across South Africa, Lesotho and Swaziland but provide 50% of the water in these countries. The intention of the SWSA_blobs layer is to denote fuzzy boundaries around general areas considered to be Strategic Water Source Areas, and to attach names to these “blobs”.

The 2013-14 South African National Land-cover dataset produced by GEOTERRAIMAGE as a commercial data product has been 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 36 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. The data remains the property of GEOTERRAIMAGE, and is protected by copyright laws. All Intellectual Property rights pertaining to the data remain with GEOTERRAIMAGE at all times.

The Wetlands of the City of Cape Town

Protected areas in the SKEP planning domain

The 2013-14 South African National Land-cover dataset produced by GEOTERRAIMAGE as a commercial data product has been 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. The data remains the property of GEOTERRAIMAGE, and is protected by copyright laws. All Intellectual Property rights pertaining to the data remain with GEOTERRAIMAGE at all times.

Areas of biome stability in the face of climate change, under a range of climate scenarios, according to niche modelling results using statistically downscaled future climate scenarios only.