Limpopo River Basin Digital Twin Open Data Cube Catalog

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cg.contributor.affiliationInternational Water Management Instituteen
cg.contributor.affiliationAssociation for Water and Rural Developmenten
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeDigital Innovation
cg.coverage.regionSouthern Africa
cg.coverage.subregionLimpopo River Basin
cg.creator.identifierSurajit Ghosh: 0000-0002-3928-2135en
cg.creator.identifierZolo Kiala: 0000-0002-5119-738Xen
cg.creator.identifierChris Dickens: 0000-0002-4251-7767en
cg.creator.identifierMariangel Garcia: 0000-0002-4145-0847en
cg.identifier.iwmilibraryH053278en
cg.placeColombo, Sri Lankaen
cg.river.basinLIMPOPOen
dc.contributor.authorAfham, Abdulen
dc.contributor.authorSilva, Pauloen
dc.contributor.authorGhosh, Surajiten
dc.contributor.authorKiala, Zoloen
dc.contributor.authorRetief, H.en
dc.contributor.authorDickens, Chrisen
dc.contributor.authorGarcia Andarcia, Mariangelen
dc.date.accessioned2024-12-04T10:53:23Zen
dc.date.available2024-12-04T10:53:23Zen
dc.identifier.urihttps://hdl.handle.net/10568/163028
dc.titleLimpopo River Basin Digital Twin Open Data Cube Catalogen
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
dcterms.accessRightsOpen Access
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
dcterms.extent22p.en
dcterms.issued2024-12-04en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherInternational Water Management Institute (IWMI). CGIAR Initiative on Digital Innovationen
dcterms.subjectdigital innovationen
dcterms.subjectdatabasesen
dcterms.subjectdatasetsen
dcterms.subjectopen dataen
dcterms.subjectriver basinsen
dcterms.typeReport

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