The Application of AI Techniques on Geo-Information Systems

Dear Colleagues,

This Special Issue is dedicated to collecting original research contributions focused on the application of artificial intelligence (AI) methods for acquisition, filtering, management, analysis, discovery, and visualization of geo-information systems from multiple sources. We aim to take an integrated approach to AI solutions that fosters a robust collaboration between the computer science, geo-information science, and machine learning communities.

This field applies many techniques of the most general AI, such as machine learning, deep learning, semantic representation and analysis, knowledge discovery, data mining, and soft computing. However, the specificities and importance of the geospatial dimension, its heterogeneity, the need for representing distinct semantics of locations, as well as analyzing the role of their temporal changes by applying geospatial and temporal reasoning pose new challenges and opportunities faced by AI.

Over the last few years, AI and deep learning methods in particular, have had a transformative impact in fields such as natural language processing or computer vision, significantly advancing the state-of-the-art solutions to problems like parsing natural language, classifying unstructured data, or semantically segmenting contents. These same techniques can also empower a next generation of geo-information systems, providing the ability to combine spatial analysis with location-based discovery and analysis of relevant information.

This Special Issue aims at collecting original and high quality papers within the research field of AI techniques for geo-information systems. As such, we invite the community of professionals and researchers to submit their work within this field of interest.

The list of topics includes, but is not limited to:

Big data infrastructures for geo-information systems
Sensor network data acquisition, processing, and analytics
Interactive applications
Spatial networks systems
Big data in cultural heritage
Artificial intelligence technologies and smart cities
Trajectory and movement analysis
Acquisition, management, and classification of data
Applications from location-based data
Big data in smart accessibility tourism

Dr. José F. Vicent
Dr. Leandro Tortosa
Dr. Manuel Curado
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 250 words) can be sent to the Editorial Office for assessment.

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. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly 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 1900 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.