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Submit a Manuscript to the Journal
Geo-spatial Information Science

For a Special Issue on
Artificial Intelligence for Geo-Informatics and Remote Sensing

Manuscript deadline
22 December 2022

Cover image - Geo-spatial Information Science

Special Issue Editor(s)

Andino Maseleno, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Selangor, Malaysia; Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia.
[email protected]

Ashutosh Dhar Dwivedi, Department Of Digitalization, Copenhagen Business School, Denmark.
[email protected]

J. Alfred Daniel, Dhanalakshmi Srinivasan Engineering College, Anna University, India
[email protected]

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Artificial Intelligence for Geo-Informatics and Remote Sensing

Various technological breakthroughs over the past several decades have opened the way for the inevitable growth of AI and deep learning technologies, which provide a plethora of benefits. The abovementioned methods might be utilised to significantly advance state of the art in various domains, including unstructured data processing, content segmentation and prediction, and natural language processing. Additionally, typical geospatial applications face bottlenecks such as a lack of computer capacity for 3D calculations, route calculation, and map rendering.  Thus, complex data processing and analysis techniques are necessary for implementing geographical information specific to a place, which may be accomplished via the integration of artificial intelligence and geospatial applications. Additionally, some of the applications of AI include location-aware computing, data analysis, remote sensing information extraction, and applications involving high-performance computing. Improved spatial data analysis, downscaling for earth observations, and geographical text analysis may all be accomplished with the aid of AI-powered geospatial apps.

Further, numerous challenges in climate forecast, natural disaster management (flood, forest fire, volcanic eruptions), integrating heterogeneous data from dynamic locations, and vehicle tracking may be handled using remote sensing technologies and geoinformatics. Geographic artificial intelligence (AI) approaches such as fuzzy logic, deep learning, artificial neural networks (ANN), genetic programming, neurocomputing, and web semantics analysis are used to improve data display and research in a variety of geospatial applications.  Additionally, geospatial and remote sensing data are deemed sensitive since they include private information about specific locales. This data security and storage issue might be resolved by using an effective blockchain, edge, and fog computing approach that safeguards and handles data at the collection point. With the introduction of 5G/6G and beyond for dynamic data updates, AI enables improved communications in geoinformatics and remote sensing applications.

This special issue will highlight current advancements in geospatial applications that include AI for reducing challenges in remote sensing and geoinformatics. Hence Geospatial AI applications in geoinformatics and remote sensing may help solve data purification difficulties via data utility algorithms, digitisation of utility drawing sketches for interpretation, and image recognition technologies. Furthermore, researchers and academics might deduce their thoughts on using artificial intelligence and deep learning technologies into geoinformation and remote sensing.

The list of topics of interest includes but are not limited to the following:

  • Enhanced automated content decoding in Geoinformatics and remote sensing with fuzzy neural networks
  • Geotagged photo analysis for geoinformatics with deep learning models
  • Framework for estimation of average speed in Urban roads with machine learning models of CNN
  • Optimised geospatial statistical data analysis with the implementation of decentralised genetic algorithms
  • AI implementation for object recognition and analysis with information extraction in remote sensing
  • Spatiotemporal data fusion and geo text analysis with predictive text analysis algorithms
  • Futuristic applications of knowledge graph construction and deployment with AI algorithms
  • A novel approach to the inclusion of AI-based deep learning in autonomous vehicles monitoring and smart traffic management
  • Implementation of 5G/6G communication networks for optimising speed in data transfer in V2V communication and Remote sensing
  • AI/ deep analysis on UAV/drone image analysis

Submission Instructions

Important dates:

  • Date of Submission Deadline – 22nd December, 2022
  • Date First Review Round Completed – 1st February, 2023
  • Date Revised Manuscripts Due – 13th May, 2023
  • Date of Final Notification – 22nd July, 2023

All manuscripts are refereed through a peer-review process. All accepted manuscripts will be published in Geo-Spatial Information Science (GSIS) in Open Access (OA). Perspective authors are recommended to prepare their manuscript by following the author instructions of the journal GSIS (see www.tandfonline.com/tgsi). Once you have finished preparing your manuscript, please submit it through the Taylor & Francis Submission Portal (see Manuscript Submission (tandfonline.com)), ensuring that you select the appropriate Special Issue. Geo-spatial Information Science (GSIS) is indexed by the SCI (IF2021:4.278) and other databases (EI, Scopus, DBLP, CSCD, GeoBase).

Publication charges (APCs) will be waived for invited manuscripts submitted to Geo-Spatial Information Science. Authors who require a waiver code should contact the Editorial Office ([email protected][email protected]) before papers are submitted.

Instructions for AuthorsSubmit an Article

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