Water equality across society and sectors

One ambition is to establish an equal balance for water in our society and between sectors; another is to manage climate-change-induced floods and droughts. To help achieve this balance, Global Water Watch will provide public information about available freshwater resources. The platform will make extensive use of AI algorithms to convert earth observation data into relevant water information by merging those data with available local measurements.

Artificial Intelligence

Deltares and partners will use AI to identify and classify existing water bodies and to generate information about water dynamics in near-real time. Water variables derived directly from satellite images without proper interpretation are inadequate for decision-makers facing questions like “How much water is stored in my reservoir?”, “Do we have enough water to irrigate crops this year?”, “How does the upstream country manage its water resources?”. The Global Water Watch platform will generate the water information needed. Björn Backeberg (Deltares): “We will use satellite data, machine learning and cloud computing to provide detailed and near-real-time water information to ensure sustainable water use and the management of extremes, transparency between riparian states, across sectors and groups in society, with greater equality as a result.”

Roles in this partnership

Deltares focuses on remote sensing and machine learning algorithms in the field of water and the subsoil. WRI’s role in the project is working on front-end user requirements and use case development. WWF’s role is with regards to stakeholder engagement and convening dialogue with local communities. Google.org is the philanthropic arm of Google. Their goal is to help solve some of humanity’s biggest challenges — combining funding, innovation, and technical expertise to support underserved communities and provide opportunity for everyone.

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