Limpopo River Basin digital twin: enabling sustainable water management with the open data cube framework
The Limpopo River Basin Digital Twin is a data-driven platform designed to support sustainable water management across the transboundary Limpopo River Basin, which faces increasing pressures from climate variability and competing water demands. At its core is a dynamic catalog of Earth observation r...
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| Format: | Poster |
| Language: | Inglés |
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2025
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| Online Access: | https://hdl.handle.net/10568/179575 |
| _version_ | 1855517152274022400 |
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| author | Afham, Abdul Kiala, Zolo Ghosh, Surajit |
| author_browse | Afham, Abdul Ghosh, Surajit Kiala, Zolo |
| author_facet | Afham, Abdul Kiala, Zolo Ghosh, Surajit |
| author_sort | Afham, Abdul |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Limpopo River Basin Digital Twin is a data-driven platform designed to support sustainable water management across the transboundary Limpopo River Basin, which faces increasing pressures from climate variability and competing water demands. At its core is a dynamic catalog of Earth observation raster datasets, structured and indexed using the Open Data Cube (ODC) framework. This infrastructure enables efficient curation, discovery, and integration of spatial-temporal data critical to basin-scale monitoring and planning.
Key outputs derived from the catalog include irrigated area maps (irrigated_areas_limpopo) and the Vegetation Condition Index (VCI) (vegetation_condition_index_limpopo), both tailored to support real-time drought monitoring, agricultural planning, and resource allocation. These products vary in resolution, update frequency, and processing complexity, demanding a scalable and flexible data management system. To facilitate the timely provision of these datasets, automated pipelines have been developed to generate and index them into the platform, ensuring up-to-date accessibility for decision-makers. ODC’s standardized metadata schema, Python-based analytical tools, and support for services such as Web Map Service (WMS) (IWMI – OGC Web Services (datacube-ows)) publishing facilitate transparent, reproducible analysis and broad data accessibility. Additionally, supporting applications have been developed to manage products within the Open Data Cube using role-based access controls, featuring capabilities to create, index, update, and delete products.
By leveraging the ODC framework, the Digital Twin delivers timely, actionable insights to stakeholders—ranging from local water managers to regional policymakers—enhancing decision-making in a region where transboundary coordination and evidence-based planning are critical. |
| format | Poster |
| id | CGSpace179575 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1795752026-01-09T06:22:26Z Limpopo River Basin digital twin: enabling sustainable water management with the open data cube framework Afham, Abdul Kiala, Zolo Ghosh, Surajit digital innovation databases datasets open data river basins water management The Limpopo River Basin Digital Twin is a data-driven platform designed to support sustainable water management across the transboundary Limpopo River Basin, which faces increasing pressures from climate variability and competing water demands. At its core is a dynamic catalog of Earth observation raster datasets, structured and indexed using the Open Data Cube (ODC) framework. This infrastructure enables efficient curation, discovery, and integration of spatial-temporal data critical to basin-scale monitoring and planning. Key outputs derived from the catalog include irrigated area maps (irrigated_areas_limpopo) and the Vegetation Condition Index (VCI) (vegetation_condition_index_limpopo), both tailored to support real-time drought monitoring, agricultural planning, and resource allocation. These products vary in resolution, update frequency, and processing complexity, demanding a scalable and flexible data management system. To facilitate the timely provision of these datasets, automated pipelines have been developed to generate and index them into the platform, ensuring up-to-date accessibility for decision-makers. ODC’s standardized metadata schema, Python-based analytical tools, and support for services such as Web Map Service (WMS) (IWMI – OGC Web Services (datacube-ows)) publishing facilitate transparent, reproducible analysis and broad data accessibility. Additionally, supporting applications have been developed to manage products within the Open Data Cube using role-based access controls, featuring capabilities to create, index, update, and delete products. By leveraging the ODC framework, the Digital Twin delivers timely, actionable insights to stakeholders—ranging from local water managers to regional policymakers—enhancing decision-making in a region where transboundary coordination and evidence-based planning are critical. 2025-12-15 2026-01-09T06:19:14Z 2026-01-09T06:19:14Z Poster https://hdl.handle.net/10568/179575 en Open Access Afham, A.; Kiala, Z.; Ghosh, S. 2025. Limpopo River Basin digital twin: enabling sustainable water management with the open data cube framework. Poster presented at the American Geophysical Union Fall (AGU25) Conference 2025: Where Science Connects Us. New Orleans, USA. 15-19 December 2025. |
| spellingShingle | digital innovation databases datasets open data river basins water management Afham, Abdul Kiala, Zolo Ghosh, Surajit Limpopo River Basin digital twin: enabling sustainable water management with the open data cube framework |
| title | Limpopo River Basin digital twin: enabling sustainable water management with the open data cube framework |
| title_full | Limpopo River Basin digital twin: enabling sustainable water management with the open data cube framework |
| title_fullStr | Limpopo River Basin digital twin: enabling sustainable water management with the open data cube framework |
| title_full_unstemmed | Limpopo River Basin digital twin: enabling sustainable water management with the open data cube framework |
| title_short | Limpopo River Basin digital twin: enabling sustainable water management with the open data cube framework |
| title_sort | limpopo river basin digital twin enabling sustainable water management with the open data cube framework |
| topic | digital innovation databases datasets open data river basins water management |
| url | https://hdl.handle.net/10568/179575 |
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