USING MACHINE LEARNING COUPLED WITH REMOTE SENSING FOR FOREST FIRE SUSCEPTIBILITY MAPPING. CASE STUDY TETOUAN PROVINCE, NORTHERN MOROCCO

7 citations as recorded by crossref.

1. Assessment of Wildfire Susceptibility and Wildfire Threats to Ecological Environment and Urban Development Based on GIS and Multi-Source Data: A Case Study of Guilin, China W. Yue et al. 10.3390/rs15102659
2. Integrating Long term Satellite Data and Machine Learning to Spatiotemporal Fire Analysis in Hour al Azim International Wetland S. Hashemi & H. Mohammad Asgari 10.1007/s11270-024-07233-y
3. A Forest Fire Prediction Model Based on Cellular Automata and Machine Learning X. Sun et al. 10.1109/ACCESS.2024.3389035
4. Forest fire probability zonation using dNBR and machine learning models: a case study at the Similipal Biosphere Reserve (SBR), Odisha, India R. Guria et al. 10.1007/s11356-025-35976-6
5. A Geospatial Approach to Wildfire Risk Modeling Using Machine Learning and Remote Sensing Data R. Gupta & H. Kim 10.1109/JSTARS.2024.3434368
6. Ormancılıkta makine öğrenmesi kullanımı R. EKER et al. 10.18182/tjf.1282768
7. Fire risk mapping using machine learning method and remote sensing in the Mediterranean region F. Sivrikaya & D. Demirel 10.1016/j.asr.2025.01.050