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Article

Spatiotemporal Assessment of Irrigation Performance of the Kou Valley Irrigation Scheme in Burkina Faso Using Satellite Remote Sensing-Derived Indicators

1
Biosystems Engineering Department, Faculty of Agriculture, University of Uludag, Görükle Kampüsü, Nilüfer, Bursa 16059, Turkey
2
Center for Applied Climate Sciences, University of Southern Queensland, West Street, Toowoomba, QLD 4350, Australia
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Institut de l’Environnement et de Recherches Agricoles, Guisga Street, Ouagadougou, P.O. Box 8645 Ouagadougou 04, Burkina Faso
4
International Water Management Institute (IWMI), Cantonments, Accra, PMB CT 112, Ghana
5
Department of Water Management, Delft University of Technology, Postbus 5, 2600 AA Delft, The Netherlands
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(8), 484; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9080484
Received: 12 July 2020 / Revised: 29 July 2020 / Accepted: 3 August 2020 / Published: 11 August 2020
Traditional methods based on field campaigns are generally used to assess the performance of irrigation schemes in Burkina Faso, resulting in labor-intensive, time-consuming, and costly processes. Despite their extensive application for such performance assessment, remote sensing (RS)-based approaches remain very much underutilized in Burkina Faso. Using multi-temporal Landsat images within the Python module for the Surface Energy Balance Algorithm for Land model, we investigated the spatiotemporal performance patterns of the Kou Valley irrigation scheme (KVIS) during two consecutive cropping seasons. Four performance indicators (depleted fraction, relative evapotranspiration, uniformity of water consumption, and crop water productivity) for rice, maize, and sweet potato were calculated and compared against standard values. Overall, the performance of the KVIS varied depending on year, crop, and the crop’s geographical position in the irrigation scheme. A gradient of spatially varied relative evapotranspiration was observed across the scheme, with the uniformity of water consumption being fair to good. Although rice was the most cultivated, a shift to more sweet potato farming could be adopted to benefit more from irrigation, given the relatively good performance achieved by this crop. Our findings ascertain the potential of such RS-based cost-effective methodologies to serve as basis for improved irrigation water management in decision support tools. View Full-Text
Keywords: water management; food security; climate variability; SEBAL; sub-Saharan Africa water management; food security; climate variability; SEBAL; sub-Saharan Africa
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MDPI and ACS Style

Sawadogo, A.; Kouadio, L.; Traoré, F.; Zwart, S.J.; Hessels, T.; Gündoğdu, K.S. Spatiotemporal Assessment of Irrigation Performance of the Kou Valley Irrigation Scheme in Burkina Faso Using Satellite Remote Sensing-Derived Indicators. ISPRS Int. J. Geo-Inf. 2020, 9, 484. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9080484

AMA Style

Sawadogo A, Kouadio L, Traoré F, Zwart SJ, Hessels T, Gündoğdu KS. Spatiotemporal Assessment of Irrigation Performance of the Kou Valley Irrigation Scheme in Burkina Faso Using Satellite Remote Sensing-Derived Indicators. ISPRS International Journal of Geo-Information. 2020; 9(8):484. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9080484

Chicago/Turabian Style

Sawadogo, Alidou, Louis Kouadio, Farid Traoré, Sander J. Zwart, Tim Hessels, and Kemal S. Gündoğdu 2020. "Spatiotemporal Assessment of Irrigation Performance of the Kou Valley Irrigation Scheme in Burkina Faso Using Satellite Remote Sensing-Derived Indicators" ISPRS International Journal of Geo-Information 9, no. 8: 484. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9080484

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