Articles | Volume 26, issue 10
https://doi.org/10.5194/hess-26-2759-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-2759-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A framework for irrigation performance assessment using WaPOR data: the case of a sugarcane estate in Mozambique
Abebe D. Chukalla
CORRESPONDING AUTHOR
Department of Land and Water Management, IHE Delft Institute for Water Education, 2611 AX Delft, the Netherlands
Marloes L. Mul
Department of Land and Water Management, IHE Delft Institute for Water Education, 2611 AX Delft, the Netherlands
Pieter van der Zaag
Department of Land and Water Management, IHE Delft Institute for Water Education, 2611 AX Delft, the Netherlands
Water Management Group, Delft University of Technology, 2600 AA Delft, the Netherlands
Gerardo van Halsema
Water Resources Management Group, Wageningen University & Research, 6700 AA Wageningen, the Netherlands
Evaristo Mubaya
Xinavane estate, Xinavane, Mozambique
Esperança Muchanga
Inclusive Agri-Food Value Chain Development Programme (PROCAVA) –
FDA, Maputo, Mozambique
Nadja den Besten
VanderSat B. V., Agri, Food and Commodity unit, Wilhelminastraat 43a, 2011 VK Haarlem, the Netherlands
Water Management Group, Delft University of Technology, 2600 AA Delft, the Netherlands
Poolad Karimi
Department of Land and Water Management, IHE Delft Institute for Water Education, 2611 AX Delft, the Netherlands
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Short summary
New techniques to monitor the performance of irrigation schemes are vital to improve land and water productivity. We developed a framework and applied the remotely sensed FAO WaPOR dataset to assess uniformity, equity, adequacy, and land and water productivity at the Xinavane sugarcane estate, segmented by three irrigation methods. The developed performance assessment framework and the Python script in Jupyter Notebooks can aid in such irrigation performance analysis in other regions.
New techniques to monitor the performance of irrigation schemes are vital to improve land and...