基于RS和GIS技术的印度喀拉拉邦Achankovil森林火灾危险区制图研究

R. S. Ajin, A. Loghin, P. G. Vinod, M. Jacob
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引用次数: 19

摘要

森林火灾是影响森林生态系统的主要自然灾害之一,对生物多样性、环境和野生动物造成破坏。研究区域是阿坎科维尔森林区,是西高止山脉的一部分,也容易发生森林火灾,在过去的11年里,总共发生了15起火灾。目的:对阿坎科维尔森林分区进行火灾危险区划分。材料与方法:采用遥感与地理信息系统(GIS)技术相结合的方法,生成研究区火灾危险区图。在此制图过程中,考虑了土地覆被类型、坡度、到沉降点的距离、到道路的距离、高程等因素。采用火灾风险指数(FRI)法绘制了本研究区域的风险区图。结果:最终的地图包括五个火灾危险区,即非常低、低、中、高和非常高。高风险区和极风险区共占研究区面积的55.75%。本研究的结果与火灾发生率数据相一致,具有较高的可靠性。结论:基于地理空间技术的研究有助于森林保护和养护部门在未来的森林火灾预防和管理中方便地识别火灾危险区。
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Forest Fire Risk Zone Mapping Using RS and GIS Techniques: A Study in Achankovil Forest Division, Kerala, India
Introduction: Forest fires are one of the major natural hazards that affect the forest ecosystem, damaging the biodiversity, environment, and wildlife. The study area, Achankovil forest division, a part of the Western Ghats, is also prone to forest fire, wherein a total of 15 fires were reported for the past 11 years. Objective: The aim of this study is to demarcate the fire risk zones in Achankovil forest division. Materials and Methods: A method that integrated remote sensing (RS) and geographic information system (GIS) techniques was used to generate the fire risk zone map of the study area. In this mapping process, factors such as land cover type, slope, distance from settlement, distance from road, and elevation were taken into account. The risk zone map of the area of this study was created using the Fire Risk Index (FRI) method. Results: The final map comprised five fire risk zones, viz., very low, low, moderate, high, and very high. The high- and very high-risk zones together constituted 55.75% of the study area. The result of this study was validated with the fire incidence data and showed appreciable reliability. Conclusion: This study, based on geospatial technology, will help the authorities of the forest protection and conservation department to easily identify the fire risk zones for prevention and management of forest fires in the future.
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