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cs.CV2025
Cropland Mapping using Geospatial Embeddings
Ivan Zvonkov, Gabriel Tseng, Inbal Becker-Reshef +1
Accurate and up-to-date land cover maps are essential for understanding land use change, a key driver of climate change. Geospatial embeddings offer a more efficient and accessible…
cs.CV2023
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
Gabriel Tseng, Ruben Cartuyvels, Ivan Zvonkov +3
Machine learning methods for satellite data have a range of societally relevant applications, but labels used to train models can be difficult or impossible to acquire. Self-superv…