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Found 3 papers, 2 papers with code
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation
Nowadays, modern Earth Observation systems continuously collect massive amounts of satellite information.
Fine grained classification for multi-source land cover mapping
Nowadays, there is a general agreement on the need to better characterize agricultural monitoring systems in response to the global changes.
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships
European satellite missions Sentinel-1 (S1) and Sentinel-2 (S2) provide at highspatial resolution and high revisit time, respectively, radar and optical imagesthat support a wide range of Earth surface monitoring tasks such as LandUse/Land Cover mapping.
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