Spatiotemporal assessment of irrigation performance of the kou valley irrigation scheme in burkina faso using satellite remote sensing-derived indicators

Alidou Sawadogo, Louis Kouadio, Farid Traoré , Sander J. Zwart, Tim Hessels, Kemal Sulhi Gundogdu

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
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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.

Original languageEnglish
Article number484
Pages (from-to)1-23
Number of pages23
JournalISPRS International Journal of Geo-Information
Volume9
Issue number8
DOIs
Publication statusPublished - 2020

Keywords

  • Climate variability
  • Food security
  • SEBAL
  • Sub-Saharan Africa
  • Water management

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