The Comoros islands are a small archipelago in the Indian Ocean with limited land use data. AI algorithms were applied to high-resolution satellite images to classify land use types. A pattern of deforestation in the northern islands was observed with a proportion of 35% over two years. The AI approach improved accuracy compared to manual classification methods. Continue monitoring and integrate results into policy-making for sustainable land use management. AI, satellite imagery, Comoros, land use mapping, machine learning Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.