Geospatial Artificial Intelligence

Dear Colleagues,

Over the last few years, Artificial Intelligence (AI) and Deep Learning methods in particular, had a transformative impact in fields such as natural language processing or computer vision, significantly advancing the state-of-the-art in problems like parsing natural language, classifying unstructured data, or semantically segmenting contents. These same techniques can also empower a next generation of Geographical Information Systems (GISs), providing the ability to combine spatial analysis with fast and near human-level perception, this way facilitating location-based discovery and analysis of relevant information.

Several recent studies have for instance shown that AI techniques can be used in a variety of geospatial applications, with examples in remote sensing for Earth observation (e.g., segmenting, classifying, downscaling, or fusing ground-level or aerial/satellite imagery), spatial data analysis (e.g., interpolation of geospatial data with generative adversarial networks), or geographical text analysis (e.g., address geo-coding or geo-referencing place references in documents), among many others (e.g., processing historical maps, gazetteer conflation, etc.).

Many of aforementioned applications can already highlight important challenges in AI for processing geospatial data, including small sample sizes to inform supervised learning, relative to the complexity of the problems, the lack of ground truth information, or the high degree of noise and uncertainty. Despite many successful applications, overcoming the aforementioned challenges requires additional developments, so that AI techniques can be more widely and easily applicable to a broader range of geospatial applications.

For this ISPRS IJGI special issue on geoAI, we invite the community of professionals and researchers, interested in AI for geospatial applications and in the intersection of GIScience and AI, to submit their work.

Prof. Jacinto Estima
Prof. Bruno Martins
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.