Call for Papers: Geospatial Engineering and Intelligent Terrain Analytics (GEITA)

2026-01-22

We are delighted to announce the launch of Geospatial Engineering and Intelligent Terrain Analytics (GEITA), a dynamic new journal dedicated to advancing cutting-edge research and innovative applications in geospatial science and engineering.

 

In an era marked by the explosive growth of satellite and UAV data, GEITA provides a focused platform for integrating geospatial technologies with terrain, environmental, and infrastructure challenges. Our journal bridges the gap between advanced geospatial methodologies and real-world engineering applications—spanning civil, mining, environmental, and surveying engineering—to foster sustainable and intelligent solutions.

 

Why Publish with GEITA?

 

  • Rapid dissemination of high-quality, peer-reviewed research
  • Interdisciplinary reach across engineering, earth sciences, and data analytics
  • Focus on emerging trends

 

We invite various types of papers such as original research, reviews, opinions, and case studies including but not limited to:

  • GIS based spatial modelling and geospatial decision support systems.
  • Remote sensing analytics using multispectral, hyperspectral and thermal imagery.
  • UAV driven mapping, photogrammetry and near surface environmental monitoring.
  • Satellite image processing for land use, terrain and ecological assessment.
  • Digital elevation, terrain modelling and geomorphometric analysis.
  • Intelligent geospatial data systems integrating machine learning and data fusion.
  • Land deformation, subsidence and surface change detection.
  • Spatial risk assessment, hazard mapping and geospatial big data management.

 

GEITA encourages submissions that demonstrate novel methodologies, integrative approaches, and clear engineering or environmental relevance.

Submission Details:

 

Submission Information

Manuscripts should be submitted online via the journal’s submission portal or to the email (editorial-geita@arsl-pub.com). For detailed author guidelines and submission instructions, please visit https://journal.arsl-pub.com/index.php/GEITA/about/submissions