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[{'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SAEON.GFW.07042024', 'featured': 'false', 'id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'The data originates from the 5m resolution Digital Elevation Model (DEM) (Ezemvelo KZN Wildlife, 2016). This DEM was clipped to the correct catchment areas and utilised to create topographic rasters. The rasters were used in theArcSIE (Soil Inference Engine) version 10.2.105 tool.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T10:39:05.866061', 'metadata_date': '2024-07-03T00:00', 'metadata_modified': '2025-10-16T14:33:13.736220', 'metadata_thumbnail': '', 'name': 'digital_soil_mapping_for_hydropedological_purposes_of_the_cathedral_peak_research_catchments', 'notes': 'Conventional soil mapping in montane environments is often a difficult and laborious task given access difficulties, the topography of the environment and the time required to conduct the field investigation. Utilising a remote sensing tool, such as the Arc Soil Inference Engine (ArcSIE) to map soils in these locations can add valuable information for land management. The ArcSIE tool was utilised in the Cathedral Peak research catchments, in KwaZulu-Natal, South Africa with the aim of creating an understanding of the hydropedological behaviour of the soils of three research catchments. A rule-based approach was first undertaken, followed by a case-based validation. A fuzzy membership map of each soil group was produced which integrated all inputs. The overall Kappa coefficient for Cathedral Peak-III is 0.57, for Cathedral Peak-VI is 0.59, and for Cathedral Peak-IX is 0.74. The hydropedological soil group maps achieved an appropriate representation of the complex nature of the soil-landscape relationship, with changes between one soil group and the next being gradual and continuous. Accuracies and inaccuracies within the fuzzy-membership maps can be quantified, allowing for a confidence rating in the use of these maps. These maps can therefore be used in further applications in water and land management for the area.', 'num_resources': 1, 'num_tags': 5, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. 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The mosaic was generated from using Sentinel-2 data from July -September 2024. The cloudless mosaic of South Africa consist of 4 spectral Sentinel-2 bands (Blue, Green, Red, and NIR) composite.. The entire country of South Africa and is presented in a georeferenced raster Geo-TIFF format and the spatial resolution is 10 meters. The Mosaic was downloaded by the South African National Agency(SANSA). SANSA combined separated 4 spectral bands into a single image. These data was packaged and organised into the country’s 4 UTMS zones. The Mosaic covers South Africa and presented in a map-corrected raster format, based on 10 x 10 m cells equivalent to the images resolution of the source sentinel multispectral imagery. 4 and pixel size is Pixel Size is 10,-10. 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The Mosaic covers South Africa and presented in a map-corrected raster format, based on 10 x 10 m cells equivalent to the images resolution of the source sentinel multispectral imagery. 4 and pixel size is Pixel Size is 10,-10. \r\n\r\nThe packaged datasets processed by SANSA are subject to strict distribution controls. Only SANSA is authorized to distribute these datasets directly to government departments or other approved requesters. \r\n', 'num_resources': 1, 'num_tags': 0, 'organization': {'id': 'a959e782-51ce-4adc-b84d-f89961445cdb', 'name': 'sansa', 'title': 'SANSA', 'type': 'organization', 'description': 'SANSA was created to promote the use of space and strengthen cooperation in space-related activities while fostering research in space science, advancing scientific engineering through developing human capital, and supporting industrial development in space technologies. 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', 'num_resources': 1, 'num_tags': 1, 'organization': {'id': 'a959e782-51ce-4adc-b84d-f89961445cdb', 'name': 'sansa', 'title': 'SANSA', 'type': 'organization', 'description': 'SANSA was created to promote the use of space and strengthen cooperation in space-related activities while fostering research in space science, advancing scientific engineering through developing human capital, and supporting industrial development in space technologies. The research and work carried out at SANSA focuses on Earth observation, space science, space engineering and space operations. Much of this work involves monitoring the Earth for policy and decision making, resource and disaster management, food security and national security. 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SPOT 4 images with a spatial resolution of 20m (4 band multispectral(I)) and 10m panchromatic (M), processed to level 1A. The images were acquired between 22 September and 28 December 2010 covering some parts of South Africa and delivered in GeoTiff format', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-08-25T10:37:59.621810', 'metadata_date': '2025-08-25T10:00', 'metadata_modified': '2025-08-25T10:39:31.888193', 'metadata_thumbnail': '', 'name': '2010-spot4-satellite-imagery', 'notes': 'SPOT 4 acquired and processed by the South African National Space Agency (then Satellite Application Centre) in South Africa. SPOT 4 images with a spatial resolution of 20m (4 band multispectral(I)) and 10m panchromatic (M), processed to level 1A. 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