Instructions for authors

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We invite submissions for both oral presentations and poster presentations that highlight innovative research, methodologies, applications, and case studies in the following areas (but not limited to):

• Remote sensing techniques and technologies
• AI techniques for Earth observation, remote sensing and environmental monitoring
• Machine learning algorithms and methods applied to earth observation data
• Machine vision and/or image processing in an environmental context
• Data science, AI and machine learning approaches to:
  • Environmental monitoring and assessment
  • Climate change analysis and prediction
  • Land use and land cover classification
  • Natural resource management
  • Disaster management and response
  • Urban planning and development
  • Biodiversity conservation
  • Agriculture and food security
• Industrial/commercial applications and real world case studies
• Social and ethical issues

Reviews will be single-blind. All submissions should include author names and their affiliations. 

• Submit a single file PDF using this link 
• Abstracts should be no more than 500 words in length. 
• Abstract may include one image or table if appropriate 
• Clearly state the objectives, methods, results, and conclusions and findings of the research. 
• You will have the opportunity to specify whether the submission is for an oral presentation or a poster presentation, or can be considered for either format.  
• Oral presentations are expected to be 10 minutes duration with time for questions. 
• Posters should fit on a standard A1 portrait poster board and will be displayed during breaks and in a designated poster session. 
• At least one author will need to register for the conference and attend the event to present the work. 
• Abstract submission will be open from 15 February 
• Abstract submission closes on 3 April 
• Notification of acceptance will be sent by 1 May. 

There will be no conference proceedings but abstracts will be shared with attendees via the conference webpage. 

Upon discussion with the authors, the IET Image processing journal will consider an extended version of their abstract for publication, subject to suitability assessment and quality review.

The Microsoft CMT service was used for managing the peer-reviewing process for  this conference. This service was provided for free by Microsoft and  they bore all expenses, including costs for Azure cloud services as well  as for software development and support.