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

Simple item page
cg.contributor.affiliationInternational Water Management Instituteen
cg.coverage.countryBurkina Faso
cg.coverage.iso3166-alpha2BF
cg.coverage.regionAfrica
cg.coverage.regionWestern Africa
cg.creator.identifierSander J. Zwart: 0000-0002-5091-1801en
cg.identifier.doihttps://doi.org/10.3390/ijgi9080484en
cg.identifier.iwmilibraryH049932en
cg.isijournalISI Journalen
cg.issn2220-9964en
cg.issue8en
cg.journalISPRS International Journal of Geo-Informationen
cg.reviewStatusPeer Reviewen
cg.volume9en
dc.contributor.authorSawadogo, A.en
dc.contributor.authorKouadio, L.en
dc.contributor.authorTraoré, F.en
dc.contributor.authorZwart, Sander J.en
dc.contributor.authorHessels, T.en
dc.contributor.authorGundogdu, K. S.en
dc.date.accessioned2020-09-03T03:01:22Zen
dc.date.available2020-09-03T03:01:22Zen
dc.identifier.urihttps://hdl.handle.net/10568/109184
dc.titleSpatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicatorsen
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
dcterms.accessRightsOpen Access
dcterms.available2020-08-11en
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
dcterms.extent484. (Special issue: Observation-Driven Understanding, Prediction, and Management in Hydrological/Hydraulic Hazard and Risk Studies)en
dcterms.issued2020-08-11en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherMDPIen
dcterms.subjectmodelsen
dcterms.subjectsweet potatoesen
dcterms.subjectmaizeen
dcterms.subjectriceen
dcterms.subjectcrop yielden
dcterms.subjectlandsaten
dcterms.subjectevapotranspirationen
dcterms.subjectwater productivityen
dcterms.subjectcrop water useen
dcterms.subjectclimate changeen
dcterms.subjectfood securityen
dcterms.subjectwater managementen
dcterms.subjectirrigation wateren
dcterms.subjectperformance indexesen
dcterms.subjectremote sensingen
dcterms.subjectsatellite imageryen
dcterms.subjectperformance evaluationen
dcterms.subjectirrigation schemesen
dcterms.typeJournal Article

Files

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

IWMI Journal Articles
Climate Change Adaptation and Resilience (CCAR)