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This system aims to transform big data into actionable data for South African catchments. This is done by transforming vast, complex, and often unstructured datasets into meaningful insights that can directly inform decisions and operations. Data include hydrological data (rainfall, river flow, groundwater level), remote sensing data (evaopotranspiration, soil moisture, satellite imagery for land use), integrated Internet of Things (IoT) sensor data, climate models (long-term projections, variability patterns) and socio-economic data (water demand, population growth, agricultural patterns). All data are carefully curated, and data products carefully scrutinized before offering them as reliable decision support systems.
Reports on large amounts of data from a variety of sources can be generated by AI, including statistical analyses of trends, and are then check by a human.
Overall the approach aims to assist with better resource allocation, risk mitigation, efficiency improvements and sustainability in policy and planning.
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