SARLO-80 is a new public dataset of 119566 complex SAR-optical-text triplets standardized to 80cm slant-range resolution from 257 locations across 72 countries.
MMEarth: Exploring multi-modal pretext tasks for geospatial representation learning
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Multi-source EO models' robustness to missing data depends on task nature, source complementarity, and design, sometimes improving when certain sources are removed.
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SARLO-80: Worldwide Slant SAR Language Optic Dataset 80cm
SARLO-80 is a new public dataset of 119566 complex SAR-optical-text triplets standardized to 80cm slant-range resolution from 257 locations across 72 countries.
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On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?
Multi-source EO models' robustness to missing data depends on task nature, source complementarity, and design, sometimes improving when certain sources are removed.