In this session we search for contributions of general interest within the geodesy community which are not covered by other sessions. The session is open to all branches of geodesy and related fields of research. Additionally, it is linked to the PICOs G4.3 and G5.1 with presentations on ionosphere and gravity.

Space-based geodetic techniques including Interferometric Synthetic Aperture Radar (InSAR) and SAR-based change detection have become essential tools for high-quality mapping and analysis of the damage, change and deformation induced by natural and anthropogenic processes. Processing of these data have led to many new insights into understanding of geophysical and geological processes related to earthquakes, volcanic eruptions, landslides, sinkholes, floods, glaciers, and groundwater exploitation. They are also extremely useful for civil protection authorities for post-disaster response, detecting precursors of failure, and planning warning systems for areas prone to risk.
All scientists exploiting SAR/InSAR data to address challenges in the areas of the geosphere, cryosphere, biosphere and hydrosphere are cordially invited to contribute to this session. We welcome contributions from innovative processing algorithms, interpretation and modelling methods that are used for generating high-level products from SAR data for applications in earth and environmental sciences. Submissions are encouraged to cover a broad range of topics, which may include, but are not limited to, the following activities: SAR/InSAR algorithm development including cloud-based computing, deep learning and big data analysis, crustal deformation and earthquake cycle, landslides, volcanic processes, land subsidence, sinkholes, mining activities, infrastructure monitoring, flood monitoring, forest biomass and agriculture, glacier and ice dynamics, and permafrost

The distinction of a fluctuation from a long-term change in Earth processes is a key question in the assessment of the Earth's Climate change and in general geo- risk assessment. The distinction of a fluctuation from a steady change requires knowledge on the time variability of the signal and long term observations. Due to the decadal variability of sea level, reliable sea level trends can only be obtained after about sixty years of continuous observations. Reliable strain rates of deformation require a minimum of a decade of continuous data, due to the ambient factors leading to fluctuations. The session invites contributions that demonstrate the importance of long term geophysical, geodynamic, oceanographic and climate observatories. Advances in sensors, instrumentation, data analyses, and interpretations of the data are welcome, with the aim to stimulate a multidisciplinary discussion among those dedicated to the accumulation, preservation and dissemination of data over decadal time scales or beyond. With this session, we also would like to provide an opportunity to gather for representatives from observatories in Europe and also world-wide.

InSight landed on Mars on November 26th, 2018, bringing the first geophysical observatory to the surface of Mars. It attempts to constrain the interior structure of the planet and identify key physical processes that have shaped its evolution. At the time of the meeting, the instruments have been operating at full capacity for 14 months, or about half a Martian year. This session invites contributions from numerical modeling, experimental studies and data processing from various disciplines such as but not limited to geophysics, geology and geochemistry that aim to evaluate, interpret and complement the seismic and heat flow measurements, as well as rotational state, magnetic and atmospheric data of the InSight mission.
This interdisciplinary session will gather together results welcoming all research, whether part of the mission team or not.

Public information:
Additionally, a webcast will be held on Monday, May 4, 20:00 CEST (11:00 PST) to present the current status and scientific results of the InSight mission.

Join the webcast at
https://ethz.zoom.us/j/99691510985
Meeting-ID: 996 9151 0985

This session aims to bring together researchers working with big data sets generated from monitoring networks, extensive observational campaigns and detailed modeling efforts across various fields of geosciences. Topics of this session will include the identification and handling of specific problems arising from the need to analyze such large-scale data sets, together with methodological approaches towards semi or fully automated inference of relevant patterns in time and space aided by computer science-inspired techniques. Among others, this session shall address approaches from the following fields:
• Dimensionality and complexity of big data sets
• Data mining in Earth sciences
• Machine learning, deep learning and Artificial Intelligence applications in geosciences
• Visualization and visual analytics of big and high-dimensional data
• Informatics and data science
• Emerging big data paradigms, such as datacubes