| packages |
[{'author': None, 'author_email': None, 'creator_user_id': '51ab5002-5dc5-4fdc-a0ab-ce13592d0d6f', 'doi': '', 'featured': 'false', 'id': 'c98c5ffa-b500-4da2-92d8-e6e634e87a0a', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'The 2025 CBERS 4A Wide Field Imager (WPM) acquired directly and processed in-house by South Africa national Space Agency, in Pretoria, South Africa. The CBGERS4A acquired between 04 January and 29 December 2025, with a spatial resolution of 8m multispectral 4 bands (RGB, NIR) and 2m panchromatic, processed to Level2B and provided in GeoTiff format.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2026-02-02T12:56:53.065059', 'metadata_date': '2026-02-02T00:00', 'metadata_modified': '2026-02-02T12:59:12.058630', 'metadata_thumbnail': '', 'name': '2025-cbers-4a-', 'notes': 'The 2025 CBERS 4A Wide Field Imager (WPM) acquired directly and processed in-house by South Africa national Space Agency, in Pretoria, South Africa. The CBGERS4A acquired between 04 January and 29 December 2025, with a spatial resolution of 8m multispectral 4 bands (RGB, NIR) and 2m panchromatic, processed to Level2B and provided in GeoTiff format.', '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. SANSA also provides state-of-the-art facilities to monitor space weather, provide launch support and data downloads as well as supporting the growth of the local space industry.', 'image_url': '2025-07-31-061500.854757SANSALogo.jpg', 'created': '2025-04-01T13:27:03.699924', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'a959e782-51ce-4adc-b84d-f89961445cdb', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.4699, -34.8212], [32.8931, -34.8212], [32.8931, -22.1265], [16.4699, -22.1265], [16.4699, -34.8212]]]}', 'state': 'active', 'title': '2025 CBERS 4A', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'customers-eo@sansa.org.za', 'individual_name': "SANSA's customer services", 'position_name': 'Customer services', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': '0123345024'}], 'dataset_reference_date': [{'reference': '2026-02-02T14:52', 'reference_date_type': 1}], 'distribution_format': [{'name': 'PDF,xml', 'version': '1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'metadata_standard': [{'name': 'SANS 1878-1:2011', 'version': '1.1'}], 'online_resource': [{'application_profile': 'Catalogue Service', 'description': 5, 'linkage': 'https://catalogue.sansa.org.za', 'name': "SANSA's customer services"}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2026-02-02T12:58:34.722073', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'baea43dc-cbcd-4ac3-aed3-464f53763855', 'last_modified': None, 'metadata_modified': '2026-02-02T12:58:34.632601', 'mimetype': None, 'mimetype_inner': None, 'name': '', 'package_id': 'c98c5ffa-b500-4da2-92d8-e6e634e87a0a', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'http://catalogue.sansa.org.za/', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': 'customers-eo@sansa.org.za', 'individual_name': 'South African National Space Agency', 'position_name': 'Earth Observation', 'role': 'owner', 'website': 'www.sansa.org.za'}], 'responsible_party_contact_address': [{'administrative_area': 'Gauteng', 'city': 'Pretoria', 'delivery_point': 'Building 10, CSIR Campus, Meiring Naude Road, Brummeria ', 'postal_code': ' 0184'}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': '0123345024'}], 'spatial_parameters': [{'equivalent_scale': '1:2000', 'spatial_reference_system': 'EPSG:4326', 'spatial_representation_type': '007'}], 'tags': [{'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'imageryBaseMapsEarthCover'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000074', 'featured': 'false', 'id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': '"Data was derived from the following sources: *The extent of sugar cane cultivation was determined from digitisation of maps published in Gers (2003). * This extent was correlated with two additional sources: crop extent published by DAFF (2014), which excludes sugar cane production and could be used as a verification of extent, and Land Use data (FAO, 2011), which could be used to verify the finer extent of cultivation. * Sugar cane theoretical yields were applied from Schulze, Hull, and Maharaj (2007).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-25T13:51:51.505431', 'metadata_date': '2015-01-01T00:00', 'metadata_modified': '2025-10-17T09:37:57.386121', 'metadata_thumbnail': '', 'name': 'availability_of_sugar_cane_field_residues', 'notes': 'Data was derived from the following sources: *The extent of sugar cane cultivation was determined from digitisation of maps published in Gers (2003). * This extent was correlated with two additional sources: crop extent published by DAFF (2014), which excludes sugar cane production and could be used as a verification of extent, and Land Use data (FAO, 2011), which could be used to verify the finer extent of cultivation. * Sugar cane theoretical yields were applied from Schulze, Hull, and Maharaj (2007). * The total area and sugar cane production obtained from the above was correlated with published production figures (DAFF, 2014) and good correlation obtained - calculated sugar cane production of 22.5 Mt/a vs. published production in 2013/14 of 21.3 Mt/a. * Ratios of bagasse, sugar, and residue production was calculated from ratios in Hugo (2014) .', 'num_resources': 1, 'num_tags': 14, '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. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.45214, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45214, -22.12503], [16.45214, -34.8341698957]]]}', 'state': 'active', 'title': 'Availability of Sugar Cane Field Residues', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Wim Hugo', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2015-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 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None}], 'responsible_party': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'publisher', 'website': 'https://catalogue.saeon.ac.za/'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': 'Pretoria', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Bioenergy', 'id': 'ca34cd72-b5a2-4f3f-81d8-61b65cd42ef8', 'name': 'Bioenergy', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Commercial crop system', 'id': '7212f987-9a76-4d73-bf13-da41d2c5a0b1', 'name': 'Commercial crop system', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Energy', 'id': '2e773657-95fa-4b64-9488-bb790e61bcbf', 'name': 'Energy', 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'active', 'vocabulary_id': None}, {'display_name': 'potential', 'id': '72c85e81-8819-41f9-9327-fb5418e73e31', 'name': 'potential', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'residue', 'id': '00467143-d7fa-48c1-b70f-20667c4b9fbe', 'name': 'residue', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'straw', 'id': '6fb6009f-3480-4660-a3f9-eb0e3724045a', 'name': 'straw', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'sugar cane', 'id': '8183afee-04eb-4a1b-94be-0d9cbb8a6d2c', 'name': 'sugar cane', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'farming'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000082', 'featured': 'false', 'id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. This data was only available at provincial aggregate level, and derives from statistics published by the Department of Water and Sanitation, or recent studies funded by them. * Data from StatsSA (Census 2011) enabled the calculation of number of households within each planning zone that were serviced at the time, with the balance unserviced. * SAEON developed a model from national and international statistics linking waste water production and composition to household income. This model was used, based on StatsSA Census Data, to estimate the organic component produced by each household per planning zone (mesozone) annually. * These factors were used to disaggregate provincial production data, resulting in a value for unserviced and serviced organic wastewater from household sources to be calculated for each mesozone.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T07:12:59.317624', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:37:29.037486', 'metadata_thumbnail': '', 'name': 'serviced_and_unserviced_waste_water_organic_component', 'notes': 'Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. This data was only available at provincial aggregate level, and derives from statistics published by the Department of Water and Sanitation, or recent studies funded by them. * Data from StatsSA (Census 2011) enabled the calculation of number of households within each planning zone that were serviced at the time, with the balance unserviced. * SAEON developed a model from national and international statistics linking waste water production and composition to household income. This model was used, based on StatsSA Census Data, to estimate the organic component produced by each household per planning zone (mesozone) annually. * These factors were used to disaggregate provincial production data, resulting in a value for unserviced and serviced organic wastewater from household sources to be calculated for each mesozone.', 'num_resources': 1, 'num_tags': 8, '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. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.45214, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45214, -22.12503], [16.45214, -34.8341698957]]]}', 'state': 'active', 'title': 'Serviced and Unserviced Waste Water - Organic Component', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Wim Hugo', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2015-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000082', 'name': 'Serviced and Unserviced Waste Water - Organic Component'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T07:15:03.812737', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': 'b47f179f-b705-4c67-9f6f-654d5799dd09', 'last_modified': None, 'metadata_modified': '2025-10-17T07:15:03.803797', 'mimetype': None, 'mimetype_inner': None, 'name': 'Serviced and Unserviced Waste Water - Organic Component', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000082', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Environment', 'id': 'ad6bb22c-77f7-4d69-81bb-a19bc4bceb95', 'name': 'Environment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Hazards and vulnerability', 'id': '5829ec05-94f5-4147-8521-d1c6a37510e3', 'name': 'Hazards and vulnerability', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Municipalities', 'id': 'cbad33a1-1960-4cf3-a4e6-1d65230faa9d', 'name': 'Municipalities', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Settlement', 'id': '76b43ead-57a0-4dd5-91ab-fcde5a799ad4', 'name': 'Settlement', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Socio-economic', 'id': '1ae6c2fa-2640-4c76-a1e7-a68f7a113248', 'name': 'Socio-economic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biomass', 'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'organic waste', 'id': '66132173-2f04-40e0-99d5-d5e601e67fda', 'name': 'organic waste', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'waste water', 'id': '562cc66c-eb30-4566-985f-7c07453dfd89', 'name': 'waste water', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'environment'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000008', 'featured': 'false', 'id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'The dataset shows Acacia mearnsii - bark yield estimates allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). The map of climatically optimum growth areas shows the main potential areas for A. mearnsii to be in a strip along the coast of the Eastern Cape, parts of the midlands and northwest of KwaZulu-Natal and a strip in Mpumalanga, with smaller patches of climatically optimum areas elsewhere.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T09:32:50.896907', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:35:51.349560', 'metadata_thumbnail': '', 'name': 'acacia_mearnsii_bark_yield_estimates_per_mesozone', 'notes': 'The dataset shows Acacia mearnsii - bark yield estimates allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). The map of climatically optimum growth areas shows the main potential areas for A. mearnsii to be in a strip along the coast of the Eastern Cape, parts of the midlands and northwest of KwaZulu-Natal and a strip in Mpumalanga, with smaller patches of climatically optimum areas elsewhere.', 'num_resources': 1, 'num_tags': 11, '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 dataset includes SPOT 5 images with a spatial resolution of 10\u202fm (three-band multispectral, band J) and 5\u202fm panchromatic (bands A and B). The images were processed to Level 1A and acquired between 16 January and 10 October 2015, covering selected areas of South Africa. The data are provided in GeoTIFF format.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-08-27T13:55:54.623428', 'metadata_date': '2025-08-27T10:00', 'metadata_modified': '2025-08-27T13:56:26.325710', 'metadata_thumbnail': '', 'name': '2015--spot-5-satellite-imagery', 'notes': '2015 SPOT 5 imagery was acquired and processed by the South African National Space Agency (SANSA). The dataset includes SPOT 5 images with a spatial resolution of 10\u202fm (three-band multispectral, band J) and 5\u202fm panchromatic (bands A and B). The images were processed to Level 1A and acquired between 16 January and 10 October 2015, covering selected areas of South Africa. The data are provided in GeoTIFF format.', '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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', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-08-27T12:39:12.192204', 'metadata_date': '2025-08-27T14:38', 'metadata_modified': '2025-08-27T12:41:58.829540', 'metadata_thumbnail': '', 'name': '2024-sentinel-2q3-cloudless-mosaic-', 'notes': 'This quarter 3 Sentinel-2 Mosaic was downloaded from Sentinel https://browser.dataspace.copernicus.eu/. 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. \r\n\r\nThe 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. 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Asanda Lamba
updated the metadata record
2009 SPOT 5 Satellite Imagery (Mosaic + Individual Scenes)
Thando Oliphant updated the metadata record 2009 SPOT 5 Satellite Imagery (Mosaic + Individual Scenes)
