Natural radioactivity is ubiquitous in the environment as a result of i) cosmic radiation from space and secondary radiation from the interaction of cosmic rays with atoms and molecules in the atmosphere, ii) terrestrial sources from mineral grains in soils and rocks, particularly Potassium (K-40), Uranium (U-238) and Thorium (Th-232), and their decay products, and iii) Radon gas (Rn-222). Moreover, fallout of artificial radionuclides (e.g. 137Cs, 134Cs) from nuclear and radiation accidents and incidents contributes to additional environmental radioactivity. The use of nuclear techniques enables the measurement of radioactivity in air, soils and water even at trace levels, making it a particularly appealing tool for characterizing time-varying environmental phenomena. This session welcomes contributions addressing the measurement and exploitation of environmental radioactivity in all areas of geosciences, including, but not limited to:

- volcanic monitoring and surveillance;
- identification of faults and tectonic structures;
- mineral exploration;
- earthquakes;
- groundwater contamination;
- coastal and marine monitoring;
- soil erosion processes;
- Naturally Occurring Radioactive Materials (NORMs);
- geostatistical methods for radioactivity mapping;
- atmospheric tracing, including of greenhouse gases and pollutants
- atmospheric mixing and transport processes;
- air ionisation and atmospheric electricity;
- cosmic rays;
- public health including the EU BSS directive.

Contributions on novel methods and instrumentation for environmental radioactivity monitoring are particularly encouraged, including payloads for airborne measurements and small satellites.

At present, constructional geomaterials make the largest (by volume) group of extracted mineral raw materials. Despite their low unit price, they significantly contribute to the economy in many senses. Ongoing worldwide development of infrastructure, rapid urbanisation and the need for maintenance of the existing structures exert enormous pressure on the environment due to the extraction of new materials from natural resources, along with their processing and transportation.
The resources, processing, testing, and proper use of construction geomaterials thus deserve attention from the scientific community due to their long-term use, importance for the society, and sensitivity to the environment. As our knowledge of many aspects of these materials is still rather limited, the session aims to focus on the following topics:
• characterisation of traditional raw materials and their products, such as natural and dimension stone, aggregates (crushed stone, sands and gravels), inorganic binders (lime, natural cements and hydraulic limes), bricks, clay, earth and adobe;
• use of geomaterials in concrete and service life of such materials;
• recovery of historic knowledge of constructional geomaterials processing and use;
• assessment of durability;
• comparison of natural and anthropogenic decay of constructional geomaterials, the role of human impact on their service life;
• study of interactions and material compatibility between traditional construction materials and modern restoration products;
• conservation of geomaterials in heritage structures;
• availability of traditional materials in modern society, including comparative studies between small-scale production of materials (e.g. natural cement) and large-scale industrial processing;
• use of local materials as a part of cultural and/or industrial and technical heritage;
• technological properties and their testing;
• on site and laboratory standardized (ASTM, EN, etc.) and non-standardized testing techniques and their limitations for constructional geomaterials’ characterization;
• geological evaluation of geomaterials’ deposits;
• compositional and genetic aspects influencing extraction, processing, and utilization of constructional geomaterials;
• use of quarry waste, utilization of stone extraction and processing by-products;
• environmental issues.

This session covers an overview of the progress and new scientific approaches for investigating landslides using state-of-the-art techniques such as: Earth Observation (EO), close-range Remote Sensing techniques (RS) and Geophysical Surveying (GS).

A series of remarkable technological progresses are driven new scientific opportunities to better understand landslide dynamics worldwide, including integrated information about rheological properties, water content, rate of deformation and time-varying changes of these parameters through seasonal changes and/or progressive slope damage.

This session welcomes innovative contributions and lessons learned from significant case studies and/or original methods aiming to increase our capability to detect, model and predict landslide processes at different scales, from site specific to regional studies, and over multiple dimensions (e.g. 2D, 3D and 4D).

A special emphasis is expected not only on the particularities of data collection from different platforms (e.g. satellite, aerial, UAV, Ground Based...) and locations (e.g. surface- and borehole-based geophysics) but also on new solutions for digesting and interpreting datasets of high spatiotemporal resolution, landslide characterization, monitoring, modelling, as well as their integration on real-time EWS, rapid mapping and other prevention and protection initiatives. Examples of previous submissions include using one or more of the following techniques: optical and radar sensors, new satellite constellations (including the emergence of the Sentinel-1A and 1B), Remotely Piloted Aircraft Systems (RPAS) / Unmanned Aerial Vehicles (UAVs) / drones, high spatial resolution airborne LiDAR missions, terrestrial LIDAR, Structure-from-Motion (SfM) photogrammetry, time-lapse cameras, multi-temporal DInSAR, GPS surveying, Seismic Reflection, Surface Waves Analysis, Geophysical Tomography (seismic and electrical), Seismic Ambient Vibrations, Acoustic Emissions, Electro-Magnetic surveys, low-cost sensors, commercial use of small satellites, Multi-Spectral images, etc. Other pioneering applications using big data treatment techniques, data-driven approaches and/or open code initiatives for investigating mass movements using the above-described techniques will also be very welcomed.

GUEST SPEAKER: this year, we invited professor Jonathan Chambers, team leader of the geophysical tomography cluster at the British Geological Survey (BGS).

This session explores the potentials and limitations of various remote sensing applications in forestry, with the focus on the identification and integration of different methodologies and techniques from different sensors and in-situ data for providing qualitative and quantities forest information.
In general, remote sensing allows examining and gathering information about an object or a place from a distance, using a wide range of sensors and platforms. A key development in remote sensing has been the increased availability of data with very high temporal, spatial and spectral resolution. In the last decades, several types of remote sensing data, including optical, multispectral, radar, LiDAR from terrestrial, UAV, aerial and satellite platforms, have been used to detect, classify, evaluate and measure the earth surface, including different vegetation cover and forest structure. For the forest sector, such information allows efficient quantification of the state and monitoring of changes over time and space, in support of sustainable forest management, forest and carbon inventory or for monitoring forest health and their disturbances. Remote sensing data can provide both qualitative and quantitative information about forest ecosystems. In a qualitative analysis, forest cover types and species composition can be classified, whereas the quantitative analysis can measure and estimate different forest structure parameters related to single trees (e.g. DBH, height, basal area, timber volume, etc.) and to the whole stand (e.g. number of trees per unite area, spatial distribution, etc.). However, to meet the various information requirements, different data sources should be adopted according to the application, the level of detail required and the extension of the area under study. The integration of in-situ measurements with satellite/airborne/UAV imagery, Structure from Motion, LiDAR and geo-information systems offers new possibilities, especially for interpretation, mapping and measuring of forest parameters and will be a challenge for future research and application.

This session is linked to the Pan-Eurasian EXperiment (PEEX; www.atm.helsinki.fi/peex), a multi-disciplinary, -scale and -component climate change, air quality, environment and research infrastructure and capacity building programme. It is aimed at resolving major uncertainties in Earth system science and global sustainability issues concerning the Arctic, Northern Eurasia and China regions. This session aims to bring together researchers interested in (i) understanding environmental changes effecting in pristine and industrialized Pan-Eurasian environments (system understanding); (ii) determining relevant environmental, climatic, and other processes in Arctic-boreal regions (process understanding); (iii) the further development of the long-term, continuous and comprehensive ground-based, air/seaborne research infrastructures together with satellite data (observation component); (iv) to develop new datasets and archives of the continuous, comprehensive data flows in a joint manner (data component); (v) to implement validated and harmonized data products in models of appropriate spatio-temporal scales and topical focus (modeling component); (vi) to evaluate impact on society though assessment, scenarios, services, innovations and new technologies (society component).
List of topics:
• Ground-based and satellite observations and datasets for atmospheric composition in Northern Eurasia and China
• Impacts on environment, ecosystems, human health due to atmospheric transport, dispersion, deposition and chemical transformations of air pollutants in Arctic-boreal regions
• New approaches and methods on measurements and modelling in Arctic conditions;
• Improvements in natural and anthropogenic emission inventories for Arctic-boreal regions
• Physical, chemical and biological processes in a northern context
• Aerosol formation-growth, aerosol-cloud-climate interactions, radiative forcing, feedbacks in Arctic, Siberia, China;
• Short lived pollutants and climate forcers, permafrost, forest fires effects
• Carbon dioxide and methane, ecosystem carbon cycle
• Socio-economical changes in Northern Eurasia and China regions.
PEEX session is co-organized with the Digital Belt and Road Program (DBAR), abstracts welcome on topics:
• Big Earth Data approaches on facilitating synergy between DBAR activities & PEEX multi-disciplinary regime
• Understanding and remote connection of last decades changes of environment over High Asia and Arctic regions, both land and ocean.

The Open Session on Moon, Mars, Mercury, Venus as terrestrial planets systems aims at presenting highlights of relevant recent results through observations, modelling, laboratory and theory. Key research questions concerning the surface, subsurface, interior and their evolution will be discussed, as well as instruments and techniques from Earth and space.

This session is seeking papers that address new mission concepts, instruments and enabling technologies for future planetary science and exploration. In particular, papers describing mission concepts proposed for ESA and international space agency programs are encouraged.

Plastic pollution in freshwater systems is a widely recognized global problem with severe environmental risks. Besides the direct negative effects on freshwater ecosystems, freshwater plastic pollution is also considered the dominant source of plastic input into the oceans. However, research on plastic pollution has only recently expanded from the marine environment to freshwater systems, and therefore data and knowledge from field studies are still limited in regard to freshwater. This knowledge gap must be addressed to understand the dispersal and distribution of plastics and their fate in the oceans, as well as forming effective mitigation measures.

In this session, we explore the current state of knowledge and activities on (macro to micro) plastic in freshwater systems, including aspects such as:

• Plastic monitoring techniques;
• Case studies;
• Source to sink investigations;
• Transport processes of plastics in watersheds;
• Novel measurement approaches, such as citizen science or remote sensing;
• Modelling approaches for local and/or global river output estimations;
• Legislative/regulatory efforts, such as monitoring programs and measures against plastic pollution in freshwater systems.

Smart Farming is driving a revolution in agriculture, aiming at more productive and sustainable production through precise and resource-efficient decision making, with additional applications in forest and rangeland management. Remotely sensed Big Data from satellite, small unmanned aerial, airborne, in situ and proximal systems, brings both challenges and opportunities which requires high spatial resolution and near real-time mapping capabilities. Success in crop health monitoring, stress identification, soil mapping, fertilizer and irrigation advisories, yield prediction, ecosystem services, and more have been achieved. This session seeks contributions across government, university, private, and nonprofit organizations. It focuses on research methodologies and applications for the use of high spatial resolution or high temporal frequency remotely sensed Big Data for Smart Farming and land management applications. We invite your findings throughout the chain of data collection, storage, transfer, transformation, analytics and discuss how to achieve the goal of more productive and sustainable agriculture production

Geostatistics is commonly applied in the Water, Earth and Environmental sciences to quantify spatial variation, produce interpolated maps with quantified uncertainty and optimize spatial sampling designs. Extensions to the space-time domain are also a topic of current interest. Due to technological advances and abundance of new data sources from remote and proximal sensing and a multitude of environmental sensor networks, big data analysis and data fusion techniques have become a major topic of research. Furthermore, methodological advances, such as hierarchical Bayesian modeling and machine learning, have enriched the modelling approaches typically used in geostatistics.

Earth-science data have spatial and temporal features that contain important information about the underlying processes. The development and application of innovative space-time geostatistical methods helps to better understand and quantify the relationship between the magnitude and the probability of occurrence of these events.

This session aims to provide a platform for geostatisticians, soil scientists, hydrologists, earth and environmental scientists to present and discuss innovative geostatistical methods to study and solve major problems in the Water, Earth and Environmental sciences. In addition to methodological innovations, we also encourage contributions on real-world applications of state-of-the-art geostatistical methods.

Given the broad scope of this session, the topics of interest include the following non-exclusive list of subjects:
1. Advanced parametric and non-parametric spatial estimation and prediction techniques
2. Big spatial data: analysis and visualization
3. Optimisation of spatial sampling frameworks and space-time monitoring designs
4. Algorithms and applications on Earth Observation Systems
5. Data Fusion, mining and information analysis
6. Integration of geostatistics with optimization and machine learning approaches
7. Application of covariance functions and copulas in the identification of spatio-temporal relationships
8. Geostatistical characterization of uncertainties and error propagation
9. Bayesian geostatistical analysis and hierarchical modelling
10. Functional data analysis approaches to geostatistics
11. Geostatistical analysis of spatial compositional data
12. Multiple point geostatistics
13. Upscaling and downscaling techniques
14. Ontological framework for characterizing environmental processes