Limpopo River Basin Digital Twin Open Data Cube Catalog

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cg.contributor.affiliationInternational Water Management Instituteen_US
cg.contributor.affiliationAssociation for Water and Rural Developmenten_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeDigital Innovationen_US
cg.coverage.regionSouthern Africaen_US
cg.coverage.subregionLimpopo River Basinen_US
cg.creator.identifierSurajit Ghosh: 0000-0002-3928-2135en_US
cg.creator.identifierZolo Kiala: 0000-0002-5119-738Xen_US
cg.creator.identifierChris Dickens: 0000-0002-4251-7767en_US
cg.creator.identifierMariangel Garcia: 0000-0002-4145-0847en_US
cg.identifier.iwmilibraryH053278en_US
cg.placeColombo, Sri Lankaen_US
cg.river.basinLIMPOPOen_US
dc.contributor.authorAfham, Abdulen_US
dc.contributor.authorSilva, Pauloen_US
dc.contributor.authorGhosh, Surajiten_US
dc.contributor.authorKiala, Zoloen_US
dc.contributor.authorRetief, H.en_US
dc.contributor.authorDickens, Chrisen_US
dc.contributor.authorGarcia Andarcia, Mariangelen_US
dc.date.accessioned2024-12-04T10:53:23Zen_US
dc.date.available2024-12-04T10:53:23Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/163028en_US
dc.titleLimpopo River Basin Digital Twin Open Data Cube Catalogen_US
dcterms.abstractA Limpopo River Basin (LRB) Digital Twin, a significant technological innovation, is being developed to assist water managers to assess and manage the water resources of the basin in sustainable ways. At the core of this innovation, the LRB Digital Twin compiles and serves a variety of raster datasets with unique spatial and temporal resolutions tailored to the basin’s characteristics. These datasets include hydrological variables (e.g., precipitation), climate indicators (e.g., temperature), and land surface characteristics (e.g., vegetation cover, land use). Each data set compromises with advanced preprocessing, fusion, and calibration to ensure consistency, accuracy, and reliability, making it suitable for long-term analysis and immediate decision-making. The Open data cube (ODC) framework was used to organize, visualize and analyze the datasets for different stakeholders of LRB effectively. Automations were built on top of the ODC stack for a smooth workflow, which include steps like creating and indexing the metadata into a database. The present report describes the structure ODC follows in cataloging raster datasets, automations in place for handling ODC tasks and implementation steps taken to get ODC and its components up and running. The available products for the Limpopo region include comprehensive data on irrigated areas and drought index. Additionally, there are environmental flow (E-flow) warnings that provide more insights. These resources collectively support thorough understanding of the region’s water and land management dynamics. This helps policymakers and water managers make informed decisions about resource management and agricultural planning, enabling them to respond more effectively to water-related challenges.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationAfham, Abdul; Silva, Paulo; Ghosh, Surajit; Kiala, Zolo; Retief, H.; Dickens, Chris; Garcia Andarcia, Mariangel. 2024. Limpopo River Basin Digital Twin Open Data Cube Catalog. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation. 22p.en_US
dcterms.extent22p.en_US
dcterms.issued2024-12-04en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherInternational Water Management Institute (IWMI). CGIAR Initiative on Digital Innovationen_US
dcterms.subjectdigital innovationen_US
dcterms.subjectdatabasesen_US
dcterms.subjectdatasetsen_US
dcterms.subjectopen dataen_US
dcterms.subjectriver basinsen_US
dcterms.typeReporten_US

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