Teil der Reihe: Springer Nature Proceedings excluding Computer Science
Artificial Intelligence and Geomatic Technology
Inhaltsangabe
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.
Produktdetails
- Erscheinungsdatum: 15.09.2026
- Autor/Autorin: Hicham Mouncif
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 73 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 328 Seiten
- ISBN: 9783032305466
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Presents the proceedings of the International Conference on Artificial Intelligence and Geomatic Technology ICAIGT 26 Provides cutting-edge research and insights from the intersection of artificial intelligence and geomatic technologies Written by experts in the field
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