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

Sawadogo, Alidou and Kouadio, Louis ORCID: https://orcid.org/0000-0001-9669-7807 and Traore, Farid and Zwart, Sander J. and Hessels, Tim and Gundogdu, Kemal 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.

[img]
Preview
Text (Published version)
ISPRS_IJGI_09_484_Sawadogo-2020.pdf
Available under License Creative Commons Attribution 4.0.

Download (4MB) | Preview

Abstract

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.


Statistics for USQ ePrint 39290
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Applied Climate Sciences (1 Aug 2018 -)
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Applied Climate Sciences (1 Aug 2018 -)
Date Deposited: 03 Sep 2020 04:08
Last Modified: 11 Sep 2020 03:40
Uncontrolled Keywords: Water management; Food security; Climate variability; SEBAL; Sub-Saharan Africa
Fields of Research (2008): 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070108 Sustainable Agricultural Development
07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070104 Agricultural Spatial Analysis and Modelling
05 Environmental Sciences > 0502 Environmental Science and Management > 050209 Natural Resource Management
Identification Number or DOI: https://doi.org/10.3390/ijgi9080484
URI: http://eprints.usq.edu.au/id/eprint/39290

Actions (login required)

View Item Archive Repository Staff Only