Results
eNauka >
Results >
Wildfire Susceptibility Mapping Using Deep Learning and Machine Learning Models Based on Multi-Sensor Satellite Data Fusion: A Case Study of Serbia
| Title: | Wildfire Susceptibility Mapping Using Deep Learning and Machine Learning Models Based on Multi-Sensor Satellite Data Fusion: A Case Study of Serbia | Authors: | Durlević, Uroš |
Issue Date: | 2025 | Publication: | Fire | ISSN: | 2571-6255 Fire-Switzerland Search Idenfier |
Publisher: | Basel : MDPI | Type: | Article | Collation: | vol. 8 br. 10 str. 407-407 | DOI: | 10.3390/fire8100407 | WoS-ID: | 001603898400001 | Scopus-ID: | 2-s2.0-105019935311 | URI: | https://enauka.gov.rs/handle/123456789/1006828 https://gery.gef.bg.ac.rs/handle/123456789/2210 |
Project: | Ministry of Science, Technological Development and Innovations of the Republic of Serbia, No. 451-03-137/2025-03/200091 Ministry of Science, Technological Development and Innovations of the Republic of Serbia, No. 451-03-136/2025-03/200091 |
M-category: | 21aM21a |