Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.
ITS1.13/GM1.4 | Geomorphology in the Digital Era: Transdisciplinary Methodologies for Addressing Human-Environmental Challenges
EDI
Geomorphology in the Digital Era: Transdisciplinary Methodologies for Addressing Human-Environmental Challenges
Convener: Filippo BrandoliniECSECS | Co-conveners: Katy BurrowsECSECS, Albert Cabre, Aayush SrivastavaECSECS, Jesse ZondervanECSECS
Geomorphology has entered a transformative phase, driven by the rapid development and integration of digital tools and technologies notably Remote Sensing (Google Earth Engine (GEE), Synthetic Aperture Radar (SAR),) and Artificial Intelligence (Machine and Deep Learning). As a result, improved Geographic Information System (GIS) and modelling approaches now provide novel opportunities to investigate the complex interactions between humans and the environment. This session, therefore, seeks to explore the evolving landscape of geomorphological research in the context of the digital era, focusing on the integration of various new and old methodologies. We encourage submissions that demonstrate the power of these methodologies in unravelling the intricate dynamics of geomorphological processes, landscape evolution, and the impacts of human activities. We welcome papers that delve into the exploration of past and present human-environmental interactions to inform potential future trends. As global climate warming becomes an increasingly pressing concern, understanding how geomorphological processes respond to human-induced changes is of paramount importance. We welcome papers that explore subjects such as land use transformation, soil erosion and land degradation, urban growth, deforestation, alterations to river channels, and their impacts on geomorphic systems.
We invite authors to provide perspectives on cross-disciplinary methodologies that connect conventional geomorphology with environmental science, humanities, remote sensing, and data analytics, fostering a holistic understanding of these phenomena. By fostering cross-disciplinary collaboration, this session aims to facilitate a deeper understanding of the complex and dynamic Earth surface processes, equipping researchers and policymakers with valuable insights for addressing contemporary environmental challenges.