Introducing Geospatial Engineering and Intelligent Terrain Analytics (GEITA)

2026-01-04

We are thrilled to announce the launch of Geospatial Engineering and Intelligent Terrain Analytics (GEITA), a new, interdisciplinary journal dedicated to pioneering research at the forefront of geospatial science and engineering. GEITA is positioned to become a leading voice in translating vast and complex geospatial data into intelligent solutions for pressing global challenges related to terrain, the environment, and infrastructure.

Our Mission:
GEITA aims to advance geospatial engineering by fostering innovation in data acquisition, analytical methodologies, and intelligent system design. We bridge the gap between theoretical research and practical, cross-field applications in civil, mining, environmental, and surveying engineering.

Why Publish with GEITA?

  • Focus on High-Growth Frontiers: We specialize in the rapid developments of satellite and UAV (drone) based data utilization, offering a dedicated platform for research in these dynamic areas.
  • Interdisciplinary Relevance: Our scope is inherently cross-disciplinary, connecting advanced geospatial analytics with real-world engineering and environmental problem-solving.
  • Commitment to Intelligent Analytics: A core pillar of our journal is the integration of machine learning, AI, and data fusion techniques to create next-generation intelligent geospatial data systems.

Journal Scope & Key Areas:
GEITA invites high-quality submissions across the following themes, including but not limited to:

  • GIS & Spatial Analysis: GIS-based spatial modelling, geospatial decision support systems, spatial risk assessment, and hazard mapping.
  • Remote Sensing Analytics: Processing and analysis using multispectral, hyperspectral, thermal, and SAR imagery for terrestrial and environmental applications.
  • UAV & Photogrammetry: UAV-driven mapping, 3D reconstruction, photogrammetry, and near-surface environmental monitoring.
  • Satellite Image Processing: For land-use/cover mapping, terrain analysis, and ecological assessment.
  • Terrain Modelling: Digital elevation/model generation, geomorphometric analysis, and advanced terrain characterization.
  • Deformation & Change Monitoring: Detection and analysis of land deformation, subsidence, and surface changes using geospatial technologies.
  • Geospatial Data Science: Management, processing, and mining of geospatial big data, integrating machine learning and intelligent data fusion.

Join Our Academic Community:
GEITA provides a fast, rigorous, and constructive peer-review process. We welcome original research articles, reviews, and technical notes from academics, researchers, and industry professionals worldwide.

Submit Your Work & Contribute to the Future of Geospatial Intelligence.

Let's shape the future of geospatial engineering together.