Your search found 4 records
1 Sawadogo, A.; Thio, B. 1997. Les nématodes racinaires du riz irrigué au Burkina Faso et à l'office du Niger au Mali. In Miézan, K. M.; Wopereis, M. C. S.; Dingkuhn, M.; Deckers, J.; Randolph, T. F. (Eds.), Irrigated rice in the Sahel: Prospects for sustainable development. Bouaké, Côte d'Ivoire: WARDA; ADRAO. pp.301-310.
(Location: IWMI-HQ Call no: 631.7.2 G152 MIÉ Record No: H021564)
2 Sawadogo, A.; Tim, H.; Gundogdu, K. S.; Demir, A. O.; Unlu, M.; Zwart, S. J. 2020. Comparative analysis of the pysebal model and lysimeter for estimating actual evapotranspiration of soybean crop in Adana, Turkey. International Journal of Engineering and Geosciences, 5(2):060-065. (Online first). [doi: https://doi.org/10.26833/ijeg.573503]
Evapotranspiration ; Crops ; Soybeans ; Irrigation water ; Satellite imagery ; Landsat ; Remote sensing ; Models ; Lysimeters / Turkey / Adana
(Location: IWMI HQ Call no: e-copy only Record No: H049544)
(0.98 MB) (0.98 MB)
Accurate estimation of evapotranspiration (ET) is an important factor in water management, especially in irrigated agriculture. Accurate irrigation scheduling requires accurate estimation of ET. The objective of this study was to estimate the actual evapotranspiration (ET a ) by the pySEBAL model and to compare it with the actual evapotranspiration measured by the lysimeter method of soybean crop in Adana, Turkey. Five Landsat 5 Thematic Mapper (TM) images and weather data were used for this study to estimate actual evapotranspiration by the pySEBAL model . The results showed a good relationship between ET a estimated by the pySEBAL model and ET a measured by the lysimeter method , with an R 2 of 0.73, an RMSE of 0.51 mm.day -1 , an MBE of 0.04 mm.day -1 and a Willmott's index of agreement ( d ) of 0.90. Based on this study, there is a good relationship between the actual evapotranspiration estimated by the pySEBAL model and the actual evapotranspiration measured by the lysimeter method. Consequently, ET a of soybean crop can be estimated with high accuracy by the pySEBAL model in Adana, Turkey.
3 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: https://doi.org/10.3390/ijgi9080484]
Irrigation schemes ; Performance evaluation ; Satellite imagery ; Remote sensing ; Performance indexes ; Irrigation water ; Water management ; Food security ; Climate change ; Crop water use ; Water productivity ; Evapotranspiration ; Landsat ; Crop yield ; Rice ; Maize ; Sweet potatoes ; Models / Africa South of Sahara / Burkina Faso / Kou Valley Irrigation Scheme
(Location: IWMI HQ Call no: e-copy only Record No: H049932)
(4.17 MB) (4.17 MB)
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.
4 Sawadogo, A.; Dossou-Yovo, E. R.; Kouadio, L.; Zwart, Sander J.; Traore, F.; Gundogdu, K. S. 2023. Assessing the biophysical factors affecting irrigation performance in rice cultivation using remote sensing derived information. Agricultural Water Management, 278:108124. [doi: https://doi.org/10.1016/j.agwat.2022.108124]
Irrigation schemes ; Performance ; Irrigated rice ; Biophysics ; Remote sensing ; Crops ; Water productivity ; Soil physical properties ; Chemical properties ; Sustainable agriculture ; Energy balance ; Evapotranspiration ; Satellite imagery ; Modelling ; Machine learning / Africa South of Sahara / Burkina Faso / Kou Valley Irrigation Scheme
(Location: IWMI HQ Call no: e-copy only Record No: H052098)
https://www.sciencedirect.com/science/article/pii/S0378377422006710/pdfft?md5=29cdb70d642d66a000cdb8ba5d31ed7d&pid=1-s2.0-S0378377422006710-main.pdf
https://vlibrary.iwmi.org/pdf/H052098.pdf
https://vlibrary.iwmi.org/pdf/H052098.pdf
(6.64 MB) (6.64 MB)
Identifying the biophysical factors that affect the performance of irrigated crops in semi-arid conditions is pivotal to the success of profitable and sustainable agriculture under variable climate conditions. In this study, soil physical and chemical variables and plots characteristics were used through linear mixed and random forestbased modeling to evaluate the determinants of actual evapotranspiration (ETa) and crop water productivity (CWP) in rice in the Kou Valley irrigated scheme in Burkina Faso. Multi-temporal Landsat images were used within the Python module for the Surface Energy Balance Algorithm for Land model to calculate rice ETa and CWP during the dry seasons of 2013 and 2014. Results showed noticeable spatial variations in PySEBAL-derived ETa and CWP in farmers’ fields during the study period. The distance between plot and irrigation scheme inlet (DPSI), plot elevation, sand and silt contents, soil total nitrogen, soil extractable potassium and zinc were the main factors affecting variabilities in ETa and CWP in the farmers’ fields, with DPSI being the top explanatory variable. There was generally a positive association, up to a given threshold, between ETa and DPSI, sand and silt contents and soil extractable zinc. For CWP the association patterns for the top six predictors were all non-monotonic; that is a mix of increasing and decreasing associations of a given predictor to either an increase or a decrease in CWP. Our results indicate that improving irrigated rice performance in the Kou Valley irrigation scheme would require growing more rice at lower altitudes (e.g. < 300 m above sea level) and closer to the scheme inlet, in conjunction with a good management of nutrients such as nitrogen and potassium through fertilization.
Powered by DB/Text WebPublisher, from
