| Sumario: | 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.
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