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Learning to Forecast Crop Growth from Earth Observation Data
Dominik Senti, Mehmet Ozgur Turkoglu, Michele Volpi +1
Forecasting crop growth across agricultural landscapes is important for improving the productivity, resilience, and operational management of farming systems. In this work, we inve…
SwissCrop25: A National Multi-Year Benchmark for Operational Crop Mapping
Thomas Lauber, Mehmet Ozgur Turkoglu, Sélène Ledain +1
Operational crop mapping requires models that generalise across years, resolve fine-grained crop taxonomies, and distinguish cropland from surrounding landscapes. However, existing…
: Think in Thermal Time for Generalizable Crop Mapping from Satellite Image Time Series
Mehmet Ozgur Turkoglu, Selene Ledain, Thomas Lauber +2
Crop type classification from optical satellite time series remains limited in its ability to generalize across growing seasons, particularly when crop phenology shifts due to inte…