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FreeResearch InstituteSouth Africa, Africa

SAEON Observations Database

South African Environmental Observation Network database of long-term environmental monitoring including coupled hydrological systems (rivers, water quality, soil moisture). Holds tens of millions of verified observations across hundreds of stations, each dataset assigned a DOI (10.15493/obsdb...) under CC-BY-SA 4.0.

observations.saeon.ac.za

At a glance

Region
South Africa (Africa)
Coverage
National
Access
Free
Category
Research Institute
Last updated
2026

What's inside

  • hydrology
  • water quality
  • soil moisture
  • environmental observations

Terms explained

What you can do with it

Typical work that data of this type supports.

  1. 01

    Design flows

    Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.

    Because it has: hydrology

  2. 02

    Low flows

    Set environmental flows and check what is left in the river in a dry year.

  3. 03

    Hotspots and trends

    Find where contamination is high and whether it is getting worse.

    Because it has: water quality

Where AI adds value

Ideas for machine learning and AI agents built on this kind of data.

  1. 01

    Flow forecasting

    Train LSTM-style models on past records to forecast river levels and flow days ahead.

  2. 02

    Ungauged basins

    Combine with catchment data to estimate flow where there is no gauge.

  3. 03

    Risk maps

    Predict contamination where no samples exist, from geology, land use and climate.

Machine access and documentation

Open API

Public REST/OData WebAPI at observationsapi.saeon.ac.za with OpenAPI (Swagger) docs

Licence: Open data

Listed in our registry of open water APIs, which WaterDataGPT can query live.

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