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Forest Fire Vulnerability Mapping in Way Kambas National Park

机译:森林火灾漏洞绘制在kambas国家公园的方式

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In tropical area, especially in Sumatra Island, shifting cultivation is dominant agricultural system. The farmer used to use fire during land preparation as a strategy to overcome labor shortage. Forest fire has been given special attention due to its impact to the environment. It sources of greenhouse gases emission, ecosystem degradation, and wildlife extinction. Once forest fire occur especially on sensitive area, it is very difficult to be stop. Under such situation, conducting preventive action would be more effective. Mitigation and action through forest fire early warning systems were required in Way Kambas National Park (WKNP). To support it, geographic information system and remote sensing can be applied to develop a fire vulnerability map. The object of the research was to develop fire vulnerability map, based on bio-physical and human disturbance factors. The map was based on the local bio-physical condition, namely land cover, vegetation index, moisture index, and land surface temperature. Human disturbance was determined based on distance, namely center of community activities, and distance from accessibilities. After the variables were scored and weighted, the overlaid map presents the locations with high, medium, and low vulnerability classes. The validation of the model was done using the forest fire occurrence point data.
机译:在热带地区,特别是在苏门答腊岛,转变栽培是占优势农业系统。农民曾经在土地准备期间使用火灾作为克服劳动力短缺的策略。由于其对环境的影响,森林火灾已经特别注意。温室气体排放,生态系统退化和野生动物灭绝来源。一旦森林火灾尤其是敏感区域,很难停下来。在这种情况下,进行预防措施将更有效。通过森林火灾预警系统的缓解和行动是kambas国家公园(Wknp)的方式。为了支持它,可以应用地理信息系统和遥感来开发消防漏洞地图。该研究的对象是基于生物物理和人为扰动因素来开发消防漏洞图。地图基于当地生物身体状况,即陆地覆盖,植被指数,湿度指数和陆地温度。人类扰动是基于距离确定的,即社区活动中心,以及与可见性的距离。在评分和加权变量之后,重叠地图呈现具有高,介质和低漏洞类的位置。使用森林火灾发生点数据进行模型的验证。

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