Evaluation of Deep Learning models applied to remotely sensed imagery for object detection and segmentation tasks in territorial monitoring.

The volume discuss how innovation in remote sensing, data science, and environmental monitoring can contribute to sustainability and societal resilience.Papers are organized into 5 dedicated thematic sections: 1.Urban Applications; 2. Environment, Climate Risk; 3. Agriculture & Forestry; 4. Evapotranspiration, Soil Moisture, and Irrigation; 5. Algorithm, Tool, and New MissionThe central theme of this volume, “Smart Earth Observation for a Sustainable Future,” reflects the growing importance of advanced remote sensing technologies in addressing environmental and societal challenges.The scientific contributions collected in this volume demonstrate significant progress in the integration of multi-sensor data, emerging spaceborne EO missions, and advanced computational methodologies – particularly GeoAI - to enhance environmental monitoring and risk mitigation.