Journal of Geospatial Intelligence and Remote Sensing Applications
Aim and Scope
The Journal of Geospatial Intelligence and Remote Sensing Applications publishes original research, applied case studies, reviews, and policy-relevant analyses in the field of geospatial sciences. It aims to connect the technical and analytical aspects of remote sensing with real-world decision-making and operational needs.
Its scope reflects the expanding role of geospatial intelligence as a foundation for monitoring, understanding, and responding to environmental, economic, and security challenges. The journal invites work that connects technological advances in remote sensing with practical uses in government, industry, and community-based applications.
Key areas of interest include:
- Remote Sensing Platforms and Sensors: Satellite, aerial, UAV, and ground-based systems for data acquisition.
- Image Processing and Analysis: Techniques for image classification, feature extraction, object detection, and change detection.
- GIS and Spatial Data Infrastructure: Data management, integration, interoperability, and geospatial web services.
- Geospatial AI and Machine Learning: Algorithm development for spatial prediction, anomaly detection, and automated mapping.
- Environmental and Resource Monitoring: Land cover mapping, vegetation indices, water quality monitoring, and resource inventory.
- Urban and Infrastructure Applications: Smart city planning, transportation analysis, infrastructure condition assessment, and utility mapping.
- Disaster Risk and Humanitarian Applications: Hazard mapping, evacuation planning, damage assessment, and early warning systems.
- Security and Defence Applications: Border monitoring, surveillance analytics, and operational intelligence.
- Climate and Ecosystem Studies: Remote sensing for climate modelling, habitat mapping, and biodiversity assessments.
The journal accepts both qualitative and quantitative research, as well as case studies, technology demonstrations, and policy-focused analyses. Submissions from a wide range of geographic regions are encouraged, especially those that highlight unique challenges or innovative applications in underrepresented areas.
Authors should clearly state the objectives of their work, explain the methodology, and discuss the significance of their findings for practice, policy, or technology development.