Collection

Geospatial Data Analysis through Artificial Intelligence

Submission status
Closed
This Special Issue presents a combined method to AI solutions that includes not only algorithms for smart geospatial data analysis, but also environmental and social scopes, thus adopting a healthy collaboration between the Computer Science, Geoscience, Remote Sensing, Social Science, and Machine Learning societies. In this current era, Artificial Intelligence (AI) and Deep Learning approaches in specific had a transformative influence in fields such as NLP or computer vision, suggestively proceeding the state-of-the-art in problems like classifying unstructured data, or semantically segmenting contents. These identical methods can also enable a next generation of Geographical Information Systems (GISs), providing the capacity to belief spatial analysis with wild and adjacent human-level perception, this way facilitating location-based discovery and analysis of relevant information. With the progressions of deep learning algorithms ,software and hardware technologies, , scalable computation platforms, and availability of high-resolution geospatial data are empowering the fast-growing field of Geo-AI. This special issue (SI) targets to convey composed the modern investigation on this subject and inspires the growth and distribution of open Geo-AI tools that can be re-processed for GI-Science & Geo-Informatics research and education.

Editors

  • Tanupriya Choudhury, Ph.D. Tanupriya Choudhury, Ph.D.  &

    Tanupriya Choudhury, Ph.D.

    Associate Professor, Dept. of Informatics, School of CS, University of Petroleum and Energy Studies (UPES), Dehradun Uttarakhand, India

  • Jung-Sup Um, Ph.D. Jung-Sup Um, Ph.D.

    Jung-Sup Um, Ph.D.

    Professor, Department of Geography, College of Social Sciences, Kyungpook National University, South Korea

Articles (17 in this collection)