Assessment of spatial pattern of net solar radiation and surface temperature for sustainable agriculture in Ibarapa East Local Government Area, Ibadan, Nigeria

Abstract

The study focused on the evaluation of the spatial distribution of net solar radiation and surface temperature in Ibarapa East local  government area, Oyo State, Nigeria, using geospatial techniques. Variables were obtained from Landsat images of 2023 and Aster  elevation data. To examine the impact in agriculture ecosystem, the study examined the response of temperature to spatial pattern of the  net solar energy. Both variables were calculated using a machine learning algorithm called random forest. The results revealed  northern part of the study area experienced more net solar energy, while the southern part experienced higher temperature. There was  a strong study will help to ensuring sustainable food production in the area. Therefore, the local negative relationship of 84% between temperature and solar energy available on the earth’s surface. The LGA experienced average of 32.7o c and 221.2W m-2 net radiation in  2023. A striking finding of this study is the fact that net radiation decreased with increase in temperature. The findings of this authority  and other relevant stakeholders should not jettison information about climate variables, rather prioritize investments in research and      capacity-building initiatives in the field of climate science.