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cs.LG2024★ 5 cited
Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications
Francisco Mena, Diego Arenas, Marcela Charfuelan +2
Earth observation (EO) applications involving complex and heterogeneous data sources are commonly approached with machine learning models. However, there is a common assumption tha…
cs.LG2023
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches
Kevin Iselborn, Marco Stricker, Takashi Miyamoto +2
Climate change has increased the severity and frequency of weather disasters all around the world. Flood inundation mapping based on earth observation data can help in this context…