SARLO-80: Worldwide Slant SAR Language Optic Dataset 80cm

Satellite radar imagery sees through clouds and darkness, making synthetic aperture radar (SAR) indispensable for disaster response, military surveillance, agricultural monitoring, and climate research. Yet multimodal AI research has largely been built on optical imagery because aligned, richly annotated SAR datasets have been scarce. SARLO-80 closes that gap, offering over 119,000 matched SAR-optical-text triplets drawn from 72 countries. By pairing complex-valued radar data with optical imagery and natural language captions at very high resolution, this dataset enables training of foundation models capable of cross-modal retrieval and generation. Applications span earth observation, autonomous mapping, and remote sensing intelligence.