Artificial Intelligence and Geomatic Technology

GeoAI and Spatial Machine Learning.- Spatio-Temporal Forecasting of PM2.5 Using Graph Neural Networks and Multi-Variate Transformers.- GeoAI-Based Cross-Sensor Fusion for Cloud-Free PRISMA and EnMAP Hyperspectral Reconstruction.- Flood Susceptibility Mapping Using Unsupervised Learning: A Case Study in Tata, Morocco.- Binary Classification of Forest Fire Images Through Deep Learning.- Machine Learning–Based Lithological Mapping from Sentinel-2 Imagery in the Moroccan High Atlas.- Rockfall and Landslide Susceptibility Mapping Using the Random Forest Model.- Temporal Deep Learning for Land Cover Dynamics: A 1D-CNN Approach.- Theoretical Roadmap for Building an Intelligent Geomorphological Knowledge Base Using LLMs.- Remote Sensing and Earth Observation Analytics.- Advanced Euphorbia resinifera Detection Using UAV Imagery and Deep Learning.- UAV-Based Semantic Segmentation of Plant Species in Mountainous Environments.