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.
Research article
| 
25 May 2022
Research article |
| 25 May 2022
| 25 May 2022
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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Cited
17 citations as recorded by crossref.
- Rapid expansion of irrigated agriculture in the Senegal River Valley following the 2008 food price crisis T. Higginbottom et al. 10.1088/1748-9326/acaa46
- A new approach to estimate daily evapotranspiration, based on Landsat data and FAO56 principles S. Veysi et al. 10.1080/01431161.2023.2237662
- Mapping Decision Support Tools (DSTs) on agricultural water productivity: A global systematic scoping review T. Mabhaudhi et al. 10.1016/j.agwat.2023.108590
- Multiscale spatial variability in land and water productivity across the Gezira irrigation scheme, Sudan R. Elnour et al. 10.1016/j.agwat.2024.109082
- Remote sensing vegetation Indices-Driven models for sugarcane evapotranspiration estimation in the semiarid Ethiopian Rift Valley G. W. Woldemariam et al. 10.1016/j.isprsjprs.2024.07.004
- Establishing the water resources implications for closing the land and water productivity gaps using remote sensing – A case study of sugarcane A. Chukalla et al. 10.1016/j.fcr.2024.109589
- Improving field-scale crop actual evapotranspiration monitoring with Sentinel-3, Sentinel-2, and Landsat data fusion R. Guzinski et al. 10.1016/j.jag.2023.103587
- Sugarcane Yield Estimation Using Satellite Remote Sensing Data in Empirical or Mechanistic Modeling: A Systematic Review N. de França e Silva et al. 10.3390/rs16050863
- Agronomic analysis of WaPOR applications: Confirming conservative biomass water productivity in inherent and climatological variance of WaPOR data outputs C. Seijger et al. 10.1016/j.agsy.2023.103712
- Recharge Estimation Approach in a Data-Scarce Semi-Arid Region, Northern Ethiopian Rift Valley S. Mekonen et al. 10.3390/su152215887
- Potential Improvements in Crop Production in Egypt and Implications for Future Water and Land Demand S. Ayyad et al. 10.1007/s42106-024-00301-7
- Comparing WaPOR and ERA5-Land: Innovative Estimations of Precipitation and Evapotranspiration in the Tana Basin, Ethiopia A. Tiruye et al. 10.1007/s41748-024-00446-5
- Using a Triple Sensor Collocation Approach to Evaluate Small-Holder Irrigation Scheme Performances in Northern Ethiopia A. Mohammedshum et al. 10.3390/w16182638
- Evapotranspiration estimation using Surface Energy Balance Model and medium resolution satellite data: An operational approach for continuous monitoring S. Pareeth & P. Karimi 10.1038/s41598-023-38563-2
- Monitoring small-scale irrigation performance using remote sensing in the Upper Blue Nile Basin, Ethiopia Y. Mekonnen et al. 10.1016/j.agwat.2024.108928
- Water Accounting and Productivity Analysis to Improve Water Savings of Nile River Basin, East Africa: From Accountability to Sustainability H. Hirwa et al. 10.3390/agronomy12040818
- Evaluating Performance of Community-based Irrigation Schemes Using Remote-sensing Technologies to Enhance Sustainable Irrigation Water Management T. Bashe et al. 10.1007/s41101-023-00222-y
15 citations as recorded by crossref.
- Rapid expansion of irrigated agriculture in the Senegal River Valley following the 2008 food price crisis T. Higginbottom et al. 10.1088/1748-9326/acaa46
- A new approach to estimate daily evapotranspiration, based on Landsat data and FAO56 principles S. Veysi et al. 10.1080/01431161.2023.2237662
- Mapping Decision Support Tools (DSTs) on agricultural water productivity: A global systematic scoping review T. Mabhaudhi et al. 10.1016/j.agwat.2023.108590
- Multiscale spatial variability in land and water productivity across the Gezira irrigation scheme, Sudan R. Elnour et al. 10.1016/j.agwat.2024.109082
- Remote sensing vegetation Indices-Driven models for sugarcane evapotranspiration estimation in the semiarid Ethiopian Rift Valley G. W. Woldemariam et al. 10.1016/j.isprsjprs.2024.07.004
- Establishing the water resources implications for closing the land and water productivity gaps using remote sensing – A case study of sugarcane A. Chukalla et al. 10.1016/j.fcr.2024.109589
- Improving field-scale crop actual evapotranspiration monitoring with Sentinel-3, Sentinel-2, and Landsat data fusion R. Guzinski et al. 10.1016/j.jag.2023.103587
- Sugarcane Yield Estimation Using Satellite Remote Sensing Data in Empirical or Mechanistic Modeling: A Systematic Review N. de França e Silva et al. 10.3390/rs16050863
- Agronomic analysis of WaPOR applications: Confirming conservative biomass water productivity in inherent and climatological variance of WaPOR data outputs C. Seijger et al. 10.1016/j.agsy.2023.103712
- Recharge Estimation Approach in a Data-Scarce Semi-Arid Region, Northern Ethiopian Rift Valley S. Mekonen et al. 10.3390/su152215887
- Potential Improvements in Crop Production in Egypt and Implications for Future Water and Land Demand S. Ayyad et al. 10.1007/s42106-024-00301-7
- Comparing WaPOR and ERA5-Land: Innovative Estimations of Precipitation and Evapotranspiration in the Tana Basin, Ethiopia A. Tiruye et al. 10.1007/s41748-024-00446-5
- Using a Triple Sensor Collocation Approach to Evaluate Small-Holder Irrigation Scheme Performances in Northern Ethiopia A. Mohammedshum et al. 10.3390/w16182638
- Evapotranspiration estimation using Surface Energy Balance Model and medium resolution satellite data: An operational approach for continuous monitoring S. Pareeth & P. Karimi 10.1038/s41598-023-38563-2
- Monitoring small-scale irrigation performance using remote sensing in the Upper Blue Nile Basin, Ethiopia Y. Mekonnen et al. 10.1016/j.agwat.2024.108928
2 citations as recorded by crossref.
- Water Accounting and Productivity Analysis to Improve Water Savings of Nile River Basin, East Africa: From Accountability to Sustainability H. Hirwa et al. 10.3390/agronomy12040818
- Evaluating Performance of Community-based Irrigation Schemes Using Remote-sensing Technologies to Enhance Sustainable Irrigation Water Management T. Bashe et al. 10.1007/s41101-023-00222-y
Latest update: 13 Dec 2024
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...
