Spatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicators

Vista sencilla de ítem
dc.creatorSawadogo, A.
dc.creatorKouadio, L.
dc.creatorTraoré, F.
dc.creatorZwart, Sander J.
dc.creatorHessels, T.
dc.creatorGundogdu, K. S.
dc.date2020-08-11
dc.date2020-09-03T03:01:22Z
dc.date2020-09-03T03:01:22Z
dc.date.accessioned2026-06-27T18:40:01Z
dc.descriptionTraditional 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.
dc.identifierhttps://hdl.handle.net/10568/109184
dc.identifier.urihttp://hdl.handle.net/123456789/162177
dc.languageen
dc.publisherMDPI
dc.rightsOpen Access
dc.sourceSawadogo, A.; Kouadio, L.; Traore, F.; Zwart, Sander J.; Hessels, T.; Gundogdu, K. S. 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(8):484. (Special issue: Observation-Driven Understanding, Prediction, and Management in Hydrological/Hydraulic Hazard and Risk Studies) [doi: 10.3390/ijgi9080484]
dc.subjectmodels
dc.subjectsweet potatoes
dc.subjectmaize
dc.subjectrice
dc.subjectcrop yield
dc.subjectlandsat
dc.subjectevapotranspiration
dc.subjectwater productivity
dc.subjectcrop water use
dc.subjectclimate change
dc.subjectfood security
dc.subjectwater management
dc.subjectirrigation water
dc.subjectperformance indexes
dc.subjectremote sensing
dc.subjectsatellite imagery
dc.subjectperformance evaluation
dc.subjectirrigation schemes
dc.titleSpatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicators
dc.typeJournal Article

Archivos

Colecciones

Instituto Internacional para el Manejo del Agua (IWMI)