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Recent advances in sensing and computing technologies have enabled the acquisition of high-definition topographic, ecological, and geophysical data for geoscientific research. These high-definition or high-resolution datasets, referred to as HiMESD (High-definition Multilayered Earth Surface Data), offer new opportunities to quantify and model earth surface connectivity across diverse environments, including terrestrial, submarine, and aerial domains. HiMESD allows us to investigate geomorphic, hydrological, sediment, and ecological connectivity across a wide range of spatial and temporal scales, from micro-scale rock weathering to basin-wide sediment dynamics extending tens of kilometers. 
In this session, we aim to explore recent scientific advances in understanding connectivity in modern earth surface systems, particularly within the context of the Anthropocene. We welcome contributions that integrate theory, observation, and modeling to advance process-based and data-driven understanding of landscape dynamics. Relevant topics include, but are not limited to, data acquisition and fusion, pre- and post-processing, large-scale data archiving, geostatistical and numerical modeling, artificial intelligence (e.g., machine learning, deep learning), and the development of digital twin approaches for earth surface processes. Methodological approaches may involve laser scanning (lidar), structure-from-motion photogrammetry, precise positioning by global navigation satellite system, synthetic aperture radar interferometry, multibeam sonar, ground-penetrating radar, geomagnetic/electromagnetic sensing, and multi/hyperspectral sensing using terrestrial, aerial (uncrewed or crewed), or satellite platforms. By bringing together diverse perspectives and technologies, this session seeks to enhance interdisciplinary dialogue and collaboration toward a more integrated understanding of connectivity in dynamically changing earth system.