Climate Change Data Portal
| DOI | 10.1007/s11069-021-04678-w |
| Remote sensing-based operational modeling of fuel ignitability in Hyrcanian mixed forest, Iran | |
| Adab H.; Kanniah K.D.; Solaimani K. | |
| 发表日期 | 2021 |
| ISSN | 0921030X |
| 起始页码 | 253 |
| 结束页码 | 283 |
| 卷号 | 108期号:1 |
| 英文摘要 | To date, the efficiency and effectiveness of early warning systems of satellite imagery for preventing and mitigating wildfire remain a challenging issue. The heat of pre-ignition (Qig) can be an index of fire likelihood, which is further enhanced with remotely sensed data, active fire data, and fuels information for operational application of satellite imagery in fire early warning systems. Qig is a prerequisite for forest fires by the side of ignition sources and weather. This study analyzed the effect of Qig variation on fire occurrences to develop a remote sensing-based initial fire likelihood index for identifying areas that have a high probability of fire. In this study, Qig of Rothermel’s fire spread model daily data is retrieved at 1 km pixels from MODIS data. MODIS active fire products were used to interpret the Qig of fuels for 10 days before the days of fire occurrences in November 2010 to determine the pre-fire conditions. A formula for converting Qig into an initial fire likelihood index (IFLI) was then used by binary logistic regression method. Analyses show that there was a positive association between suggested IFLI and fire occurrences during the study period with a fair diagnostic accuracy of 92%, and 80% for dead and live fuels, respectively. Mann–kendall test suggested that there are significant trends in the fuel moisture content time-series for both live and dead fuels. Further analysis using the Hosmer–Lemeshow test represents that the models showed an acceptable fit. The suggested IFLI is an effective tool for fire management decision-making whenever a near real-time fire likelihood is required. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. |
| 关键词 | Forest fireHyrcanian mixed forestRemote sensing |
| 语种 | 英语 |
| 来源期刊 | Natural Hazards
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/206064 |
| 作者单位 | Department of Remote Sensing and Geographic Information System, Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, Khorasan Razavi, Iran; Tropical Map Research Group, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Skudai, Johor 81310, Malaysia; Centre for Environmental Sustainability and Water Security (IPASA), Research Institute for Sustainable Environment, Universiti Teknologi Malaysia, Skudai, Johor 81310 UTM, Malaysia; Department of Watershed Management, Sari Agricultural Sciences and Natural Resources University, Sari, Mazandaran, Iran |
| 推荐引用方式 GB/T 7714 | Adab H.,Kanniah K.D.,Solaimani K.. Remote sensing-based operational modeling of fuel ignitability in Hyrcanian mixed forest, Iran[J],2021,108(1). |
| APA | Adab H.,Kanniah K.D.,&Solaimani K..(2021).Remote sensing-based operational modeling of fuel ignitability in Hyrcanian mixed forest, Iran.Natural Hazards,108(1). |
| MLA | Adab H.,et al."Remote sensing-based operational modeling of fuel ignitability in Hyrcanian mixed forest, Iran".Natural Hazards 108.1(2021). |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
