Section I. Earth Observation datasets for land use/land cover 1. Triangle method: evolution and application in the last decades 2. Soil quality assessment using hyperspectral remote sensing 3. Assessment of impervious surfaces using AVIRIS-NG datasets 4. Drone in high resolution land use assessment using artificial intelligence Section II. Land use/land cover classification 5. Projecting soil organic carbon sequestration in Greece under future climate scenarios 6.

Greek National Map of Soil Organic Carbon Sequestration Potential 7. The role of land use and disturbance history on the biological invasions: investigating the distribution and range expansion of acacia sp. In central Portugal using spatial-temporal data sources and GIS 8. Thermal behavior of building materials in the urban area, in the thermal responses of different types of urban land use 9. Vulnerability in areas of water hazards for remote observation with medium resolution images Section III. Operational Earth Observation Tools for Monitoring and Modelling land use/land cover 10. Water Quality assessment using hyperspectral radiometer and stochastic modelling 11. Remote observation in Mapping the risk of burning in Brazil in areas of natural forests 12.

Spatial cross-validation methods in predicting soil parameters using machine learning models 13. Spectral Modeling and Mixed-effects for analyzing land use change in the Brazilian Pantanal 14. Technological advances applied in spectral monitoring in agriculture Section IV: Future Challenges and Perspectives 15. Modeling and predicting future land uses: state-of-the-art and application of Dyna-CLUE and Markov chain / cellular automata models 16. A geophysical model for estimating CO2 balance of tree crops in the Mediterranean 17. Groundwater management: cloud computing and remote sensing supporting water cycle monitoring.