CFP: Remote Sensing - Special Issue "Artificial Intelligence for Environment and Cultural Heritage"

*******Apologies for cross-posting*******

Dear Colleagues,
Nowadays, Artificial Intelligence is a set of theories, methodologies and technologies which represents the key discipline for advanced application in different fields. Different cultural areas related to computer science, territorial planning and environmental research need to explore possible interactions based on artificial intelligence technologies. With this aim, AI represents the key factor for enabling the design of novel approaches, smart technologies and tools. The main purpose of this special issue is to publish original research on theoretical issues, innovative methods and applications based on artificial intelligence, big data and deep learning applied to different aspects of the knowledge management about environment and cultural heritage.

Topics of interest include, but are not limited to, the following:

- Artificial intelligence
- Digital cultural heritage
- Environmental safeguard and protection
- Big-data
- Deep learning
- GIS
- Remote sensing


Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering (https://www.mdpi.com/user/register/) and logging in to this website (https://www.mdpi.com/user/login/). Once you are registered, click here to go to the submission form (https://susy.mdpi.com/user/manuscripts/upload/?journal=remotesensing). Manuscripts can be submitted until the deadline. All papers will be 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.

Deadline for manuscript submissions: 30 November 2021

Special Issue Web Page: https://www.mdpi.com/journal/remotesensing/special_issues/artificial_intelligence_heritage

Remote Sensing (ISSN 2072-4292) is a peer-reviewed open access journal about the science and application of remote sensing technology, and is published semi-monthly online by MDPI. The Remote Sensing Society of Japan (RSSJ) and the Japan Society of Photogrammetry and Remote Sensing (JSPRS) are affiliated with Remote Sensing, and their members receive a discount on the article processing charge.

Open Access—free for readers, with article processing charges (APC) paid by authors or their institutions.
High Visibility: indexed by the Science Citation Index Expanded (Web of Science), Scopus (2019 CiteScore: 6.1), Ei Compendex, and other databases.
Rapid Publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 15.8 days after submission; acceptance to publication is undertaken in 2.7 days (median values for papers published in this journal in the first half of 2020).
Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Impact Factor: 4.509 (2019) ; 5-Year Impact Factor: 5.001 (2019) 

Prof. Dr. Antonio M. Rinaldi
Prof. Dr. Beniamino Murgante
Guest Editors

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Antonio M. Rinaldi, Ph.D.
Associate Professor in Information Processing Systems
Professor in Information Retrieval Systems
Professor in Multimedia Systems
Professor in Databases
University of Napoli Federico II (UNINA)
Department of Electrical Engineering and
Information Technology (DIETI)
via Claudio, 21 - 80125 Napoli - Italy
Voice: +3908176-83911
Fax: +3908176-83816
Wpage: www.docenti.unina.it/antoniomaria.rinaldi
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Associate Researcher                                                         
Institute of Biochemistry and Cell Biology (IBBC)         
National Research Council of italy (CNR)                 
Via Pietro Castellino, 111 - 80131 Napoli - Italy                                                                                      
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