Dr. Stephen Silliman, School of Science, Technology, Engineering and Mathematics (STEM)
Yabre, S., Koussoube, Y., Gaetan, S.E.S., Yalo, N., & Silliman, S. (2023). Identification of groundwater potential zones in Samendeni watershed in semi-arid contexts of Burkino Faso, using Analytical Hierarchy Process (AHP) method and GIS. American Journal of Climate Change, 12(1), 172-203. https://doi.org/10.4236/ajcc.2023.121009
Yomo, M., Yalo, E.N., Gnazou, M.D-T., Silliman, S., Larbi, I., & Mourad, K.A. (2023). Forecasting land use and land cover dynamics using combined remote sensing, machine learning algorithm, and local precipitation in the Agoènyivé Plateau, Togo. Remote Sensing Applications: Society and Environment, 30, 10. https://doi.org/10.1016/j.rsase.2023.100928