Special Session on
Artificial Intelligence Methods for Earth Observations
(Supported by IEEE CIS Task Force: Intelligent Agents.)

Aim and Scope

The impact of remote sensing technologies in recent years has changed how to monitor the environment through timely decision support in a number of fields, including firefighting, forestry management, precision agriculture, the ocean, and environmental pollution monitoring. Other fields affected include monitoring of climate change, glacier melting, greenhouse gas emissions, and fires.

Many studies on sensing technologies, including satellites, field sensors, and drones, have been done with a focus on data collection and integration from heterogeneous sensing devices as well as problems with data format interoperability.

A multi-sensing environment is achieved by leveraging remote intelligent systems such as satellites, vehicles, and any smart IoT-based sensing device for monitoring, communication, and coordination tasks aimed at supporting human decision-making in ordinary or critical situations. The improvement of environmental monitoring comprehension, particularly in emergency response scenarios, calls for a comprehensive understanding of the situation through the collection and integration of environmental features and a contextual interpretation of the collected data.

Advanced methods for the collection and integration of sensing data and environmental monitoring applications are being suggested by established Artificial Intelligence (AI) methodologies and technologies, such as Deep and Reinforcement Learning, Data Mining and Soft Computing, and Fuzzy Logic, to support the upcoming climate and environmental change battles.

This session aims to discuss remote sensing/satellite-based approaches for monitoring the terrestrial environment by fusing artificial intelligence methods with remote sensing technologies.


  • Knowledge-based systems for environmental context analysis
  • AI-based systems for Environmental Monitoring
  • Deep learning methods for remote sensing Analysis
  • Intelligent Agents for Environmental Monitoring
  • IoT-based system for Environmental Monitoring
  • Soft Computing and Fuzzy systems for situation analysis
  • Group Decision Making (GDM) to support actions in critical scenarios
  • Control and Monitoring Systems for Renewable Energy Sources

Paper Submission

Potential authors may submit their manuscripts for presentation consideration through ICETCI 2023 submission system electronically at , following the conference guidelines. All submissions will go through peer review process. To submit your paper to this special session, you have to choose our special session title on the submission page.

Important Dates

Paper submission deadline: March 08, 2023
Paper acceptance notification date: June 05, 2023
Final paper submission and early registration deadline: June 21, 2023


Prof. Sabrina Senatore, University of Salerno, Italy
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Prof. Mario G. C. A. Cimino, University of Pisa, Italy
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Prof. Riyaz Sikora, University of Texas, USA
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