Spatiotemporal assessment of irrigation performance of the Kou Valley irrigation scheme in Burkina Faso using satellite remote sensing-derived indicators
Article
Article Title | Spatiotemporal assessment of irrigation performance of the Kou Valley irrigation scheme in Burkina Faso using satellite remote sensing-derived indicators |
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ERA Journal ID | 200858 |
Article Category | Article |
Authors | Sawadogo, Alidou (Author), Kouadio, Louis (Author), Traore, Farid (Author), Zwart, Sander J. (Author), Hessels, Tim (Author) and Gundogdu, Kemal S. (Author) |
Journal Title | ISPRS International Journal of Geo-Information |
Journal Citation | 9 (8), pp. 1-23 |
Article Number | 484 |
Number of Pages | 23 |
Year | 2020 |
Publisher | MDPI AG |
Place of Publication | Switzerland |
ISSN | 2220-9964 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/ijgi9080484 |
Web Address (URL) | https://www.mdpi.com/2220-9964/9/8/484 |
Abstract | 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. |
Keywords | Water management; Food security; Climate variability; SEBAL; Sub-Saharan Africa |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 300210. Sustainable agricultural development |
300206. Agricultural spatial analysis and modelling | |
410406. Natural resource management | |
Byline Affiliations | University of Uludag, Turkiye |
Centre for Applied Climate Sciences | |
Institut de l’Environnement et de Recherches Agricoles, Burkina Faso | |
International Water Management Institute, Ghana | |
Delft University of Technology, Netherlands | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5wz5/spatiotemporal-assessment-of-irrigation-performance-of-the-kou-valley-irrigation-scheme-in-burkina-faso-using-satellite-remote-sensing-derived-indicators
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