Computer Vision for Earth Observation: The Second GRSS Image Analysis and Data Fusion School [Technical Committees]

Abstract

Over the last decades, the importance of Earth observation (EO) data has steadily increased. Today, it plays a pivotal role not only in scientific research but also in monitoring, analyzing, and modeling natural and anthropogenic processes in the atmosphere and on the surface of the Earth, including its oceans, forests, ice and snow fields, and urban areas. It is also connected to the United Nations Sustainable Development Goals, where 34 indicators across 29 targets and 11 goals can be informed with EO data, and more and more companies leverage EO data, e.g., for insurance in regions prone to natural disasters or smart farming.