AI4Land: Deep Learning For Land Use Reconstruction
A new study titled AI4Land proposes a scalable deep learning method for global high-resolution land use reconstruction. The research was authored by Amirpasha Mozaffari and colleagues.
Topics
Developing
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Sources · 7 independent
Modernity/arxiv
“AI4Land: Scalable Deep Learning for Global High-Resolution Land Use Reconstruction. Authors: Amirpasha Mozaffari, Marina Castaño, Stefano Materia, Etienne Tourigny, Oscar Molina-Sedano, Jordi Varela-Agrelo, Dario Garcia-Gasulla, Miguel Castrillo Melguizo, Mario Acosta, Amanda Duarte”
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