(Author), Y. J., (Author), M. C., (Author), Y. M., & (Author), Z. L. (2026). Gridded-labour market data in Ghana using remote sensing and random forest. International Labour Organization.
Chicago Style (17th ed.) Citation(Author), Yan Jin, Matthieu Charpe (Author), Yang Mei (Author), and Zeshuo Li (Author). Gridded-labour Market Data in Ghana Using Remote Sensing and Random Forest. International Labour Organization, 2026.
MLA (9th ed.) Citation(Author), Yan Jin, et al. Gridded-labour Market Data in Ghana Using Remote Sensing and Random Forest. International Labour Organization, 2026.
Warning: These citations may not always be 100% accurate.