首页> 外文会议>Asian conference on remote sensing;ACRS >SPATIOTEMPORAL DISTRIBUTION OF HOTSPOT / WILDFIRE IN SOUTHEAST ASIA USING REMOTE SENSING DATA
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SPATIOTEMPORAL DISTRIBUTION OF HOTSPOT / WILDFIRE IN SOUTHEAST ASIA USING REMOTE SENSING DATA

机译:基于遥感数据的东南亚热点/荒漠时空分布。

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Wildfire including forest fire and slash-and-burn farming are recognized as not only the causes of degradation of biodiversity and land use change, but also the sources of greenhouse gases(GHG) as well as air pollution. In Southeast Asia, more people are recently concerning about the health issue due to the air pollution and particle matters(PM). Wildfire including forest fire is assumes to be an important source of the pollution, and Remote Sensing is expected to be used for providing the information about the wildfire in regional scale on real-time basis. In this research, the spatial and temporal distribution of hotspots was analyzed by using 10 years' data from 2008 to 2017 of MODIS Active Fire Product(MOD14). Several regions from Southeast Asia were set as the study area. The frequency of occurrence of hotspots in each region and the characteristics of the fire radiation power(FRP) of hotspots were analyzed to characterize the hotspots in the regions. Himawari 8 data was also used to evaluate the power of fire detection by using its high temporal resolution, then the feasibility of real-time basis monitoring is discussed.
机译:包括森林火灾和刀耕火种的野火不仅被认为是造成生物多样性退化和土地利用变化的原因,而且还被认为是温室气体(GHG)的来源以及空气污染的原因。在东南亚,由于空气污染和颗粒物(PM)引起的健康问题最近引起了越来越多的关注。包括森林火灾在内的野火被认为是造成污染的重要来源,而遥感技术有望用于实时提供区域范围内有关野火的信息。本研究利用MODIS主动消防产品(MOD14)从2008年至2017年的10年数据分析了热点的时空分布。研究区域设置了来自东南亚的几个区域。分析了每个区域中热点的发生频率以及热点的火辐射功率(FRP)的特征,以表征该区域中的热点。 Himawari 8数据还利用其高时间分辨率来评估火灾探测的能力,然后讨论了实时基础监视的可行性。

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