Spatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicators
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 approach...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
MDPI
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/109184 |
| _version_ | 1855537075844022272 |
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| author | Sawadogo, A. Kouadio, L. Traoré, F. Zwart, Sander J. Hessels, T. Gundogdu, K. S. |
| author_browse | Gundogdu, K. S. Hessels, T. Kouadio, L. Sawadogo, A. Traoré, F. Zwart, Sander J. |
| author_facet | Sawadogo, A. Kouadio, L. Traoré, F. Zwart, Sander J. Hessels, T. Gundogdu, K. S. |
| author_sort | Sawadogo, A. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Journal Article |
| id | CGSpace109184 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1091842025-02-19T13:42:45Z Spatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicators Sawadogo, A. Kouadio, L. Traoré, F. Zwart, Sander J. Hessels, T. Gundogdu, K. S. models sweet potatoes maize rice crop yield landsat evapotranspiration water productivity crop water use climate change food security water management irrigation water performance indexes remote sensing satellite imagery performance evaluation irrigation schemes 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. 2020-08-11 2020-09-03T03:01:22Z 2020-09-03T03:01:22Z Journal Article https://hdl.handle.net/10568/109184 en Open Access MDPI Sawadogo, 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] |
| spellingShingle | models sweet potatoes maize rice crop yield landsat evapotranspiration water productivity crop water use climate change food security water management irrigation water performance indexes remote sensing satellite imagery performance evaluation irrigation schemes Sawadogo, A. Kouadio, L. Traoré, F. Zwart, Sander J. Hessels, T. Gundogdu, K. S. Spatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicators |
| title | Spatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicators |
| title_full | Spatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicators |
| title_fullStr | Spatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicators |
| title_full_unstemmed | Spatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicators |
| title_short | Spatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicators |
| title_sort | spatiotemporal assessment of irrigation performance of the kou valley irrigation scheme in burkina faso using satellite remote sensing derived indicators |
| topic | models sweet potatoes maize rice crop yield landsat evapotranspiration water productivity crop water use climate change food security water management irrigation water performance indexes remote sensing satellite imagery performance evaluation irrigation schemes |
| url | https://hdl.handle.net/10568/109184 |
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