4 citations · 4 across the 3 of their papers we have counts for
4 papers
From Foundation Embeddings to Cropland Maps: Label Efficiency, Temporal Transferability and Independent Human Validation
Mohammad Ammar Mughees, Giovanni Montefoschi, Zhongxin Chen +1
Geospatial foundation models provide reusable representations of satellite imagery that support downstream mapping with limited task-specific modelling. We evaluate whether annual…
Spectral Gaps and Spatial Priors: Studying Hyperspectral Downstream Adaptation Using TerraMind
Julia Anna Leonardi, Johannes Jakubik, Paolo Fraccaro +1
Geospatial Foundation Models (GFMs) typically lack native support for Hyperspectral Imaging (HSI) due to the complexity and sheer size of high-dimensional spectral data. This study…
An interpretable and transferable model for shallow landslides detachment combining spatial Poisson point processes and generalized additive models
Giulia Patanè, Teresa Bortolotti, Vasil Yordanov +4
Less than 10 meters deep, shallow landslides are rapidly moving and strongly dangerous slides. In the present work, the probabilistic distribution of the landslide detachment point…
Deep-Learning-based Change Detection with Spaceborne Hyperspectral PRISMA data
J. F. Amieva, A. Austoni, M. A. Brovelli +4
Change detection (CD) methods have been applied to optical data for decades, while the use of hyperspectral data with a fine spectral resolution has been rarely explored. CD is app…