Special Issue: Smart Geospatial Technologies and Spatial Data Analysis: AI, Remote Sensing and 3D Modelling for Environmental, Land Use and Urban Applications

2026-06-16

Summary: This Special Issue focuses on recent advances in geospatial science, with particular emphasis on spatial data analysis, geospatial modelling, and GIS-based applications, integrating geodesy, remote sensing, and emerging artificial intelligence (AI) methods. The selected papers cover a broad spectrum of topics, including environmental monitoring, urban systems analysis, land use dynamics, spatial pattern detection, and advanced 3D modelling.

Special attention is given to the use of satellite remote sensing, mobile mapping technologies, machine learning, deep learning, and spatial statistics for analysing complex geospatial datasets. The issue also highlights current developments in AI-driven geospatial workflows, automated feature extraction, and data integration across multiple spatial scales.

By combining methodological innovations with real-world applications, this Special Issue demonstrates the increasing importance of geospatial technologies in environmental assessment, infrastructure planning, risk analysis, and decision support systems, supporting sustainable development and smart urban and regional management.

Keywords:

  • Geospatial Data Analysis
  • Spatial Modelling
  • Geographic Information Systems (GIS)
  • Remote Sensing (RS)
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Deep Learning
  • 3D Modelling
  • Spatial Analysis
  • Geoinformation Technologies

Applications & domains:

  • Environmental Monitoring
  • Land Use and Land Cover (LULC)
  • Urban Systems
  • Urban Heat Island
  • Smart Cities
  • Infrastructure Management
  • Spatial Decision Support Systems

Methods & technologies:

  • Satellite Imagery
  • Mobile Mapping
  • LiDAR
  • Digital Terrain Modelling (DTM)
  • Spatial Statistics
  • Kernel Density Estimation
  • Clustering Analysis

Submission Guidelines: Before submission, authors should carefully read over the journal’s “Guidelines for Authors”, which are located at https://journals.vilniustech.lt/index.php/GAC/guidelinesforauthors

Article Processing Charge (APC) of 200 EUR (VAT included) applies for peer-reviewed and accepted manuscripts of Special Issue.

Corresponding editors:
Editor-in-Chief Prof. Dr Jūratė Sužiedelytė Visockienė
E-mail: juratesuziedelyte-visockiene@vilniustech.lt
Managing Editor Assoc. Prof. Dr Eglė Tumelienė
E-mail: gac@vilniustech.lt