首页> 外文会议>Vehicular Technology Conference, 2000. IEEE VTS Fall VTC 2000 >Multi-sensor analysis of the effects of a wildfire in an Alaskanblack spruce forest
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Multi-sensor analysis of the effects of a wildfire in an Alaskanblack spruce forest

机译:多传感器分析阿拉斯加黑云杉林野火的影响

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Wildfires play a central role in the ecology of boreal forestsnthroughout the circumpolar region. Fires result in distinct andncharacteristic signatures on all remote sensing imagery. The largenproportion of total area burned in boreal forests occurs in large firenevents-the majority of area burned occurs in fires greater than 10,000nha in size. These fires result in signatures which are not onlynspatially heterogeneous, but also have distinct temporal signatures. Thenauthors present the results of a study which investigated the use of anvariety of systems to monitor the effects of fire on remote sensing datancollected over a large (40,000 ha) forest fire near Tok, Alaska. Thisnfire occurred during the summer of 1991. Visible and near-IR regionn(AVHRR, SPOT) as well the microwave region (the ERS-1 and JERS-1 SARs)nobservations were made. The studies have shown that in the visible andnnear-IR data sets, the remotely-sensed signatures result from variationsnin the levels of burn intensity and patterns of vegetation regrowth.nThese patterns can clearly being interpreted through examination ofnvegetation indices derived from the AVHRR and SPOT data sets. On thenother hand, the analyses of the microwave imagery collected by the ERS-1nSAR show that the spatial patterns of radar backscatter are primarilyndue to variations in surface roughness due to variations in burnnintensity as well as variations in soil moisture, while the temporalnpatterns of radar backscatter are due to seasonal variations in soilnmoisture. The authors present examples of the remotely-sensed data setsnalong with ground-truth measurements which illustrate the sources ofnvariations observed in the satellite imagery
机译:在整个极地地区,野火在北方森林的生态中起着核心作用。火灾会在所有遥感影像上产生鲜明的特征。北方森林燃烧的总面积的大比例发生在大型火灾事件中-大多数燃烧面积发生在10,000nha以上的大火中。这些火灾导致签名不仅在空间上是异质的,而且具有明显的时间签名。然后,作者提出了一项研究结果,该研究调查了使用各种系统来监测火势对阿拉斯加托克附近一场大型森林火灾(40,000公顷)收集的遥感数据的影响。这次大火发生在1991年夏天。进行了可见和近红外区域(AVHRR,SPOT)以及微波区域(ERS-1和JERS-1 SAR)的观测。研究表明,在可见光和近红外数据集中,遥感信号是由燃烧强度水平和植被再生模式的变化引起的.n这些模式可以通过检查从AVHRR和SPOT数据得出的植被指数来清楚地解释。套。另一方面,由ERS-1nSAR收集的微波图像的分析表明,雷达后向散射的空间模式主要是由于燃烧强度的变化以及土壤水分的变化导致表面粗糙度的变化,而雷达后向散射的时间模式是由于土壤水分的季节性变化。作者提供了带有地面实测值的遥感数据集示例,这些示例说明了卫星图像中观测到的变化的来源。

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