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Senegal: Efficient use of water in agriculture, water productivity using satellite data

KnoWat: Knowing water better - Towards a more equitable and sustainable access to natural resources to achieve food security









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    Rwanda: A geospatial database for agricultural water use and productivity
    KnoWat: Knowing water better - Towards a more equitable and sustainable access to natural resources to achieve food security
    2022
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    The project Knowing water better - Towards a more equitable and sustainable access to natural resources to achieve food security (KnoWat) established a geospatial database based on the water monitoring tool Water Productivity through Open-access of Remotely sensed derived data (WaPOR) project. The database was used to assess agricultural water consumption and water productivity in Rwanda by interpreting satellite images in the Yanze, Muvumba and Lower Akagera catchments.
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    Sénégal: Une utilisation efficace de l'eau en agriculture grâce aux données satellitaires
    Mieux connaître l’eau: vers un accès plus équitable et plus durable aux ressources naturelles - KnoWat
    2022
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    Le projet KnoWat a mis à disposition une base de données géospatiale basée sur l'outil de surveillance des données dérivées de la télédétection développé pour le projet WaPOR (Water Productivity through Open-access of Remotely sensed derived data) de la FAO. Cette base de données est utilisée pour évaluer la consommation d'eau agricole et la productivité de l'eau au Sénégal en interprétant des images satellites dans le bassin du fleuve Sénégal.
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    Sri Lanka: Assessing crop water productivity in Malwathu Oya using remote sensing
    KnoWat: Knowing water better - Towards a more equitable and sustainable access to natural resources to achieve food security
    2022
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    In Sri Lanka, the project Knowing water better - Towards a more equitable and sustainable access to natural resources to achieve food security (KnoWat) established a modern geospatial database based on the FAO’s Water Productivity through Open-access of Remotely sensed derived data (WaPOR) tool. Different data on water resources are needed to assess and improve water management. In Sri Lanka, the lack of reliable data on water resources made for example agricultural predictions, plans and decisions challenging.

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