Machine Learning and Data Management for Earth Observation

During the last decade, an ever-increasing number of satellites equipped with optical and synthetic aperture radar sensors have been launched. Advancements in satellite technology have increased the variety, amount, and spatial/spectral resolution of Earth Observation (EO) data.

The efficient processing and intelligent analysis of complex, heterogeneous EO data at a large scale holds the potential to substantially improve our understanding of the state of our planet and the changes occurring on it. Data Management and Machine Learning are the scientific and technical pillars powering the current wave of innovation in Artificial Intelligence for EO.

The 2-day workshop Machine Learning and Data Management for Earth Observation by BEFOLD aims to explore the emerging methods, approaches and systems in the context of Data Management and Machine Learning for EO. In addition to keynote and spotlight talks of renowned speakers in their fields, this workshop includes poster presentations and a panel discussion exploring challenges and determining future directions in Data Management and Machine Learning for Earth Observation.