Estimation of forage yields in Burkina Faso's climatic zones using satellite data
Article
Some, Wièmè, Denis, Antoine, Kouadio, AmaniLouis, Djaby, Bakary, Nacro, Hassan Bismark, Belem, Adrien Married Gaston and Tychon, Bernard. 2024. "Estimation of forage yields in Burkina Faso's climatic zones using satellite data." Revue d’élevage et de médecine vétérinaire des pays tropicaux. 77, pp. 1-17. https://doi.org/10.19182/remvt.37009
Article Title | Estimation of forage yields in Burkina Faso's climatic zones using satellite data |
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Estimation des rendements fourragers des pâturages dans les espaces climatiques du Burkina Faso à partir de données satellitaires | |
Article Category | Article |
Authors | Some, Wièmè, Denis, Antoine, Kouadio, AmaniLouis, Djaby, Bakary, Nacro, Hassan Bismark, Belem, Adrien Married Gaston and Tychon, Bernard |
Journal Title | Revue d’élevage et de médecine vétérinaire des pays tropicaux |
Journal Citation | 77, pp. 1-17 |
Number of Pages | 17 |
Year | 2024 |
Place of Publication | France |
ISSN | 1951-6711 |
Digital Object Identifier (DOI) | https://doi.org/10.19182/remvt.37009 |
Web Address (URL) | https://revues.cirad.fr/index.php/REMVT/article/view/37009 |
Abstract | The assessment of forage resources is a key element for governing livestock food crises in Burkina Faso. This study aims to evaluate, for the first time, the possibility of estimating forage yields in Burkina Faso’s climatic zones using uni and multivariate linear statistical models constructed from forage plant biomass data collected in the field in 2017, 2018, and 2019, and phenological satellite variables (Normalized Difference Vegetation Index (NDVI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR)) and agroclimatic variables (precipitation, soil moisture, evapotranspiration, surface temperature). An exhaustive search for the best linear statistical models with one to four variables was conducted, and the best models according to the Bayesian Information Criterion were identified. The performance of the uni to quadrivariate models obtained is quite low, with for all climatic zones except the Sahelian zone, RRMSE press ranging from 55% to 61% (R² press ranging from 0.07 to 0.36), and for the Sahelian climatic zone, RRMSE press ranging from 42% to 49% (R² press ranging from 0.59 to 0.69). The decrease in correlation of the majority of variables with forage plant biomass along the North-South gradient results in a decrease in model performance along this gradient. Agroclimatic variables were found to be useless, and those derived from FAPAR appeared to be generally more effective than those derived from NDVI. The results also show a very low added value of multivariate models compared to univariate models, except for the Sahelian zone, and a better performance of models developed in more homogeneous climatic zones. A series of recommendations have been identified to improve the coupling between field-collected forage plant biomass data and variables extracted from satellite images, and thereby improve the performance of the models. © W. Some et al., 2024. |
Keywords | above ground biomass; Pastures; agroclimatic zones; forage yield; satellite imagery; linear models; Burkina Faso |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 3702. Climate change science |
Byline Affiliations | University of Liege, Belgium |
Ministry of Animal and Fisheries Resources, Burkina Faso | |
Nazi Boni University, Burkina Faso | |
Centre for Applied Climate Sciences |
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https://research.usq.edu.au/item/z859y/estimation-of-forage-yields-in-burkina-faso-s-climatic-zones-using-satellite-data
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