Deep Learning in Space Informatics

Dear Colleagues,

Space informatics show great potential and applicability due to the dynamic nature of both human and Earth interventions. Satellites provide continuous monitoring under a multispectral context, unmanned aerial systems can be deployed by almost everyone to map places never visited before under high resolution, and crowdsourcing and monitoring practices deliver an abundance of human-oriented behavioral data. Concurrently, novel, revisited, and enhanced problem-solving scientific areas including but not limited to Artificial Intelligence flourish, mainly due to the contemporary and ongoing computational and data transfer efficiency.

This Special Issue aims to cover all aspects of space informatics including geographic information systems, satellite remote sensing, unmanned aerial systems, and global navigation satellite systems in conjunction with AI including machines, deep learning, convolutional neural networks, reinforcement learning, or any other computational methodology. User studies, tools and applications, system integration proofs of concept, and review articles are welcome. Our main goal is to gather a set of articles that will demonstrate the applicability and variability of AI algorithms and especially deep learning to space-oriented purposes. Application topics may include: epidemiology; human–Earth interaction; satellite data fusion; disaster management; civil protection; crowdsourcing; health; the environment; agriculture; and the ocean.

Dr. Panagiotis Partsinevelos
Dr. Ali Mansourian
Prof. Dr. Ioannis Giannopoulos
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Informatics is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• space informatics
• artificial intelligence
• deep learning
• remote sensing
• reinforcement learning
• convolutional neural networks
• unmanned systems
• GNSS