AI RESEARCH
On the Generalizability of Foundation Models for Crop Type Mapping
arXiv CS.LG
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ArXi:2409.09451v5 Announce Type: replace-cross Foundation models pre-trained using self-supervised learning have shown powerful transfer learning capabilities on various downstream tasks, including language understanding, text generation, and image recognition. The Earth observation (EO) field has produced several foundation models pre-trained directly on multispectral satellite imagery for applications like precision agriculture, wildfire and drought monitoring, and natural disaster response.