ARTIFICIAL INTELLIGENCE AND GEOSPATIAL ANALYSIS IN DISASTER MANAGEMENT

15 citations as recorded by crossref.

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3. The Synergy of Artificial Intelligence (AI) and Geographic Information Systems (GIS) for Enhanced Disaster Management: Opportunities and Challenges P. Emami & A. Marzban https://doi.org/10.1017/dmp.2023.174
4. Autonomous Unmanned Aerial Vehicles in Bushfire Management: Challenges and Opportunities S. Partheepan et al. https://doi.org/10.3390/drones7010047
5. ICT in disaster management context: a descriptive and critical review M. Kaur et al. https://doi.org/10.1007/s11356-022-21475-5
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8. Environmental Impact Assessment for Spatial Data Analysis in Disaster Management Using Machine Learning Multi-Criteria Resources K. Ashifa et al. https://doi.org/10.1007/s41976-024-00115-1
9. Spatial prediction of flood-prone areas using geographically weighted regression J. Lin & L. Billa https://doi.org/10.1016/j.envadv.2021.100118
10. Landslide monitoring: DenseNET and image segmentation techniques to classify type and compute run-out displacement and hazard area S. Gunjan et al. https://doi.org/10.1007/s11069-025-07431-9
11. Untapped Location Discovery on Social Media by Combining Geospatial Clustering with Natural Language Processing S. Mehta et al. https://doi.org/10.1142/S0219649224500254
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13. Blockchain Oriented Effective Charity Process During Pandemics and Emergencies M. Kaur et al. https://doi.org/10.1109/TCSS.2022.3232325
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