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

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cg.contributor.affiliationInternational Water Management Instituteen_US
cg.coverage.countryBurkina Fasoen_US
cg.coverage.iso3166-alpha2BFen_US
cg.coverage.regionAfricaen_US
cg.coverage.regionWestern Africaen_US
cg.creator.identifierSander J. Zwart: 0000-0002-5091-1801en_US
cg.identifier.doihttps://doi.org/10.3390/ijgi9080484en_US
cg.identifier.iwmilibraryH049932en_US
cg.isijournalISI Journalen_US
cg.issn2220-9964en_US
cg.issue8en_US
cg.journalISPRS International Journal of Geo-Informationen_US
cg.reviewStatusPeer Reviewen_US
cg.volume9en_US
dc.contributor.authorSawadogo, A.en_US
dc.contributor.authorKouadio, L.en_US
dc.contributor.authorTraoré, F.en_US
dc.contributor.authorZwart, Sander J.en_US
dc.contributor.authorHessels, T.en_US
dc.contributor.authorGundogdu, K. S.en_US
dc.date.accessioned2020-09-03T03:01:22Zen_US
dc.date.available2020-09-03T03:01:22Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/109184en_US
dc.titleSpatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicatorsen_US
dcterms.abstractTraditional 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.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.available2020-08-11en_US
dcterms.bibliographicCitationSawadogo, 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]en_US
dcterms.extent484. (Special issue: Observation-Driven Understanding, Prediction, and Management in Hydrological/Hydraulic Hazard and Risk Studies)en_US
dcterms.issued2020-08-11en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherMDPIen_US
dcterms.subjectmodelsen_US
dcterms.subjectsweet potatoesen_US
dcterms.subjectmaizeen_US
dcterms.subjectriceen_US
dcterms.subjectcrop yielden_US
dcterms.subjectlandsaten_US
dcterms.subjectevapotranspirationen_US
dcterms.subjectwater productivityen_US
dcterms.subjectcrop water useen_US
dcterms.subjectclimate changeen_US
dcterms.subjectfood securityen_US
dcterms.subjectwater managementen_US
dcterms.subjectirrigation wateren_US
dcterms.subjectperformance indexesen_US
dcterms.subjectremote sensingen_US
dcterms.subjectsatellite imageryen_US
dcterms.subjectperformance evaluationen_US
dcterms.subjectirrigation schemesen_US
dcterms.typeJournal Articleen_US

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