Satellite-based ensemble intelligent approach for predicting forest fire: a case of the Hyrcanian forest in Iran
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11356-024-32615-4.pdf
Reference79 articles.
1. Abbaspour KC, Faramarzi M, Ghasemi SS, Yang H (2009) Assessing the impact of climate change on water resources in Iran. Water Resour Res 45(10). https://doi.org/10.1029/2008wr007615
2. Adab H (2017) Landfire hazard assessment in the Caspian Hyrcanian forest ecoregion with the long-term MODIS active fire data. Nat Hazards 87(3):1807–1825
3. Adab H, Kanniah KD, Solaimani K (2013) Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques. Nat Hazards 65(3):1723–1743
4. Adab H, Kanniah KD, Solaimani K (2021) Remote sensing-based operational modeling of fuel ignitability in Hyrcanian mixed forest, Iran. Nat Hazards 108(1):253–283
5. Asadollah SBHS, Sharafati A, Shahid S (2022) Application of ensemble machine learning model in downscaling and projecting climate variables over different climate regions in Iran. Environ Sci Pollut Res 1–20. https://doi.org/10.1007/s11356-021-16964-y
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