Wetland inventory
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Created from the NLC2000 dataset and the national Wetland Probability Map to create the first National Wetland Map (NWM1) Beta version
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The National Wetlands Map III (NWM3) is a combination of NWM2 extracted from the National Land Cover 2000 dataset and the Waterbodies of the 1:50 000 of topomaps from Chief Directorate Surveys and Mapping (CDSM). These two datasets were further categorized into natural waterbodies, artificial waterbodies and unclassified waterbodies. Although every effort was made to ensure the accuracy of the data, SANBI do not take responsibility for errors or problems that arise for using this dataset.
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The most recent dams register of DWS, dated to 2016
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The National Wetlands Map III (NWM3) is a combination of NWM2 extracted from the National Land Cover 2000 dataset and the Waterbodies of the 1:50 000 of topomaps from Chief Directorate Surveys and Mapping (CDSM). These two datasets were further categorized into natural waterbodies, artificial waterbodies and unclassified waterbodies.
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Artificial wetlands of the South African Inventory of Inland Aquatic Ecosystems (SAIIAE). This data set is part of the Inventory released with the launch of the NBA 2018. National Wetland Map 5 includes inland wetlands and estuaries, but are associated with river line data and many other data sets within the South African Inventory of Inland Aquatic Ecosystems (SAIIAE). Please ensure you obtain the full geodatabase and relevant reports to understand the appropriate use of the data. Appropriate use and a disclaimer is provided under the relevant reports below.
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The 2018 South African Inventory of Inland Aquatic Ecosystems (SAIIAE) geodatabase is a collection of data layers pertaining to ecosystem types and pressures for both rivers and inland wetlands. These data layers were developed and used for the 2018 National Biodiversity Assessment (NBA 2018).
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The spatial representation of the regional setting at Level 2 of the Classification System for Wetlands and other Aquatic Ecosystems in South Africa.
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Artificial wetlands of the South African Inventory of Inland Aquatic Ecosystems (SAIIAE). This data set is part of the Inventory released with the launch of the NBA 2018. National Wetland Map 5 includes inland wetlands and estuaries, but are associated with river line data and many other data sets within the South African Inventory of Inland Aquatic Ecosystems (SAIIAE). Please ensure you obtain the full geodatabase and relevant reports to understand the appropriate use of the data. Appropriate use and a disclaimer is provided under the relevant reports below.
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A sub-version of the National Wetland Map 5. National Geo-spatial Information (NGI) data from 2006 and 2016 was unioned into a single feature class. This was further unioined with the Estuaries Functional Zone, Working for Wetlands data, peatlands data, and the 1 m buffers of the NGI spring points (referred to as the ADD1 feature class). This layer was further split into provincial data sets for attending to slivers, checking names and assigning HGM units to a polygon. This layer should not be used as the final National Wetland Map 5. For the final National wetland map 5 please refer to the layer National Biodiversity Assessment 2018 Artificial Wetlands AEA.
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The Confidence map was compiled to identify areas where wetland extent and HGM units attained at a higher level of certainty compared to other areas. Higher levels of certainty are associated with areas that have been visited in-field by a wetland specialist(s) over multiple seasons and cycles of the hydroperiod of a wetland, and accurately represented in the dataset. This data set is part of the first version of the South African Inventory of Inland Aquatic Ecosystems (SAIIAE). The confidence map should always be read with the National Wetland Map 5 (NWM5) which was issued with the SAIIAE version 1 was generated on 2018/06/29 by Heidi van Deventer. NWM5 includes inland wetlands and estuaries, but are associated with river line data and many other data sets within the South African Inventory of Inland Aquatic Ecosystems (SAIIAE).