• Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series

    Masolele RN, De Sy V et al.
    Remote Sensing of Environment

    In this paper, we assess the potential of spatial, temporal and spatio-temporal deep learning methods for large-scale classification of land-use following tropical deforestation using dense satellite time series on the pan-tropical scale. Continental models performed better than the pan-tropical model, while overall spatio-temporal models performed better than spatial or temporal ones.