Dear Colleagues,

In recent years, the Earth System Science community has strongly emphasized the rapid change in many global socio-economic indicators and Earth Physical trends; this effect became known as “The Great Acceleration” (International Geosphere–Biosphere Programme). Study of the magnitude and rate of these changes, and their impacts on environmental and human systems, is a priority for a large community of scientists.

To approach the scientific challenge associated with the “Great Acceleration” phenomena, full integration of the best available Earth-observing methodologies is necessary, integrating satellite remote sensing and in situ data for environmental and territory (urban areas and infrastructure) monitoring and modeling. According to the Copernicus program, the concept of in situ data is intended to spread much wider and include physical observations and geospatial information.

This Special Issue is intended as an effective tool to promote and share methodological approaches and novel applications based on the integration of Earth observation methodologies for studying and monitoring a large variety of environmental processes and their inter-relation with man-made structures. In this perspective, for example, the challenges deriving from renewable energy sources, as well as the storage of energy, in systems such as pumped hydro-energy storage (PHES), is attracting ever-increasing interest in the environmental challenges that must be studied.

This Special Issue is an opportunity to promote the results of novel applications for environmental monitoring based on the full integration of multi-source, multi-sensor, and multi-resolution Earth observation methodologies. Furthermore, new applications of artificial intelligence and machine learning methodologies for data processing and analysis are welcomed.

Finally, we encourage the submission of papers focused on the study of complex and challenging environmental problems with large impacts on society and the quality of people’s life.

The main topics of the Special Issue are:

• Modelling and inversion;
• AI-based applications and machine learning;
• Digital twins of the environmental.
• Climate change and extreme events;
• Geohazard assessment and monitoring;
• Water management and monitoring;
• Urban management and monitoring;
• Infrastructures and territory monitoring and surveillance;
• Georesource management and monitoring;
• Renewable energy resource management and monitoring.

Dr. Vincenzo Lapenna
Dr. Francesco Soldovieri
Dr. Edoardo Geraldi
Guest Editors

Manuscript Submission Information

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• satellite remote sensing
• airborne and UAV remote sensing
• in situ networks
• geophysical surface and subsurface sensing
• geospatial data
• machine learning
• environmental monitoring
• geoResources and GeoEnergy
• renewable energy (solar, wind, and hydro)