Aims and Scope
Journal of Geospatial Intelligence and Computing (JGIC)
Publisher: Scientific Innovation Research Group (SIRG)
Journal of Geospatial Intelligence and Computing (JGIC) publishes cutting-edge research that integrates traditional geomatic disciplines—such as geodesy, surveying, photogrammetry, LiDAR, and GNSS—with modern AI techniques, including machine learning, deep learning, computer vision, and knowledge-based systems. The scope emphasizes the development of intelligent algorithms for spatial data acquisition, processing, modeling, and decision-making, as well as the automation of geomatic workflows.
JGIC particularly encourages submissions in the following research areas:
JGIC welcomes contributions, including:
v Geospatial Data Science
§ Capturing of Spatial data
§ Spatial data modeling and analysis
§ Spatiotemporal data mining
§ Geostatistics and spatial optimization
v Artificial Intelligence in Geospatial Systems
§ Machine learning and deep learning for geospatial data
§ Computer vision in remote sensing
§ AI-driven spatial prediction and decision-making
v Remote Sensing & Earth Observation
§ Satellite image processing
§ Change detection and environmental monitoring
§ Conventional and infrared aerial photography
§ Image Analysis Processing
§ Remotely sensed data, geometric distortion
§ Archaeological prospection high spatial resolution satellites
§ Drones, airplanes, satellite imagery.
§ Three-Dimensional Perspective
§ Hyperspectral, radar (SAR), and LiDAR data analysis
§ Time-series analysis for land use/cover change
v Intelligent Geographic Information Systems (GIS)
§ Smart GIS platforms
§ Web GIS and cloud-based geospatial systems
§ Real-time spatial data processing
v Urban & Smart City Applications
§ Mobility and transportation analytics
§ Location intelligence systems
§ Infrastructure monitoring and planning
§ Urban analytics
v Computational Methods
§ High-performance computing for geospatial analysis
§ Edge computing and IoT in spatial systems
§ Simulation and spatial modeling
§ Assessment of Accuracy Standard in Geospatial Data
v Aerial Photography:
§ Vertical Aerial Photograph, Oblique Photography image processing
§ Panchromatic aerial photographs
§ Military surveillance
§ Stereoscopic coverage
v Cartography & Map Publishing:
§ Study of maps
§ Conventional cartography
§ Thematic maps
§ Cartometric maps and Cartographic Scale
§ Visualization of geographical information
§ Compiling geographic data
§ Geographic features representation.
v Surveying and Intelligent Geodetic Systems
§ Photogrammetry and terrestrial/aerial laser scanning
§ Integration of inertial navigation systems
§ Geodetic reference frames and deformation monitoring
§ Machine learning for geodetic time-series prediction
§ PCS and GCS
§ Deep learning for gravity modeling and datum transformation
§ Deep learning for feature extraction and image matching
§ Automated camera calibration and orientation using neural networks
§ Real-time object detection in UAV and terrestrial imagery
v Geographic Information Sciences GIS:
§ Geographically Referenced Data
§ Climate change
§ Public health
§ Transportation safety, and security
§ GIS Analyst and Application
§ Environmental Engineering
§ Geolocation Data
§ Geospatial Programming
§ Spatial databases and data modeling
§ Network analysis and location-based services
§ 3D GIS and digital twins
§ Participatory GIS and citizen science
v GeoPhysics:
§ The environment in space
§ Earth’s interior using physical properties
§ Earth’s shape its gravitational and magnetic fields
§ Earth’s internal structure
§ Earth composition
§ Geodynamics plate tectonics
§ Generation of magmas volcanism and rock formation
§ Mitigation of natural hazards and environmental protection
§ environmental remediation
§ Gravimetry
v Image Compression and Processing:
§ Contrast Enhancement algorithm
§ Dithering, and half-toning algorithm
§ Elser difference-map algorithm
§ Feature detection algorithm
§ Blind deconvolution algorithm
§ Seam carving algorithm
§ Segmentation algorithm, detection
§ Error diffusion algorithm
v Global Navigation Satellite Systems GNSS and precise positioning technologies
§ Global Positioning Systems (GPS)
§ Global Navigation Satellite System (GLONASS)
§ Europe’s global navigation satellite system (GALILEO)
§ BeiDou Navigation Satellite System(BeiDou)
§ Quasi-Zenith Satellite System (QZSS)
§ Indian Regional Navigation Satellite System (IRNSS)
§ AI-enhanced GNSS positioning and noise filtering
v Geospatial Data and Artificial Intelligence (GeoAI) Integration
§ Deep learning for feature extraction and scene understanding
§ Spatiotemporal prediction and forecasting using neural networks
§ Knowledge graphs and ontologies for geospatial semantics
§ Reinforcement learning for routing and spatial optimization
§ Explainable AI (XAI) in geospatial applications
§ Knowledge graphs and ontologies for heterogeneous geomatic data
§ Transfer learning between different sensors and geographic regions
§ Explainable AI for quality assessment in geomatic products
v Big Spatial Data and Cloud Computing
§ Distributed geospatial processing
§ Geo Database and Spatial Quary
§ Spatial data lakes and real-time streaming analytics
§ Cloud-based GIS and Web GIS platforms
§ Interoperability and FAIR principles for geospatial data
v AI-Driven LiDAR and Point Cloud Processing
§ Semantic segmentation of 3D point clouds
§ Graph neural networks for point cloud classification and registration
§ Generative models for point cloud completion and denoising
v Autonomous Mapping and Robotics
§ Simultaneous Localization and Mapping (SLAM) with deep reinforcement learning
§ Path planning and navigation for mobile mapping systems
§ Sensor fusion (LiDAR, camera, IMU, GNSS)
v Digital Twins and Infrastructure Monitoring
§ AI-enabled deformation detection and predictive maintenance
§ Real-time anomaly detection in sensor streams (e.g., bridges, dams, tunnels)
§ Integration of BIM, GIS, and GeoAI for smart cities
v Ethics, Uncertainty, and Accuracy Standards in Spatial Data
§ Quantifying and communicating uncertainty in GeoAI outputs
§ Bias and fairness in AI-driven geomatic decision-making
§ Benchmarks and validation protocols for GeoAI models in geomatics
§ Calibration, validation, and uncertainty assessment
§ Positional Accuracy Standards for Digital Geospatial Data
v Applications Geospatial:
§ Climate change monitoring and carbon mapping
§ Smart cities and infrastructure management
§ Precision agriculture and natural resource management
§ Disaster risk reduction and humanitarian response
§ Health geography and epidemic spread modeling
§ Urban Planning
Keywords :
· Geospatial Intelligence
· Spatial Data Science
· Geographic Information Systems (GIS)
· Remote Sensing
· Machine Learning
· Deep Learning
· Spatiotemporal Analysis
· Earth Observation
· Climate Data
· Smart Cities
· Location-Based Services
· Computational Geoscience
· Geostatistic analysis
· Validation Geospatial Data
· Regression Prediction
· DEM
· RADAR
· LIDAR
· DRONS
