106R-B Redefining Landscapes: The Impact of GeoAI and Big Data in Earth Observation

Organizer(s): Erin Bunting; Jane Southworth; Cerian Gibbes; Hannah Herrero

This session delves into the transformative impact of GeoAI and Big Data in land system science and remote sensing, aligning with the overarching theme of 'The State of the World'. It focuses on how these innovative technologies have revolutionized our understanding and monitoring of the Earth's surface. High-resolution satellite imagery and extensive data collection offer unprecedented insights into land cover changes, deforestation, and urban growth. By employing advanced GeoAI techniques, including machine and deep learning, we can efficiently process and interpret these vast data sets. This approach enables us to discern intricate patterns and trends in land systems, which were previously elusive with traditional analytical methods. Our session explores global research utilizing GeoAI and Big Data, particularly in sustainable land management and environmental conservation. We showcase how these technologies are redefining land system science and enhancing our understandings of land cover and use dynamics, the interplay between human activities and the environment, and the feedback mechanisms influencing decision-making and management strategies. This session not only invites papers focusing on the applications and challenges of GeoAI but also encourages contributions addressing data ethics and bias concerns within the realm of GeoAI and Big Data. We are particularly interested in discussions around how data requirements and AI approaches might inadvertently contribute to or mitigate the North-South divides, emphasizing the need for responsible and equitable advancements in this rapidly evolving field.

Видео 106R-B Redefining Landscapes: The Impact of GeoAI and Big Data in Earth Observation канала Global Land Programme