Assessing fire hazard potential and its main drivers in Mazandaran province, Iran: a data-driven approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
http://link.springer.com/article/10.1007/s10661-018-7052-1/fulltext.html
Reference144 articles.
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2. Abdi, O., Kamkar, B., Shirvani, Z., Teixeira da Silva, J. A., & Buchroithner, M. F. (2018). Spatial-statistical analysis of factors determining forest fires: A case study from Golestan, Northeast Iran. Geomatics, Natural Hazards and Risk, 9(1), 267–280. https://doi.org/10.1080/19475705.2016.1206629 .
3. Adab, H. (2017). Landfire hazard assessment in the Caspian Hyrcanian forest ecoregion with the long-term MODIS active fire data. Natural Hazards, 87(3), 1807–1825. https://doi.org/10.1007/s11069-017-2850-2 .
4. Adab, H., Devi Kanniah, K., & Beringer, J. (2016). Estimating and up-scaling fuel moisture and leaf dry matter content of a temperate humid forest using multi resolution remote sensing data. Remote Sensing, 8(11), 961.
5. Adab, H., Kanniah, K. D., Solaimani, K., & Sallehuddin, R. (2015). Modelling static fire hazard in a semi-arid region using frequency analysis. International Journal of Wildland Fire, 24(6), 763–777. https://doi.org/10.1071/WF13113 .
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