Mapping lava flows from Nyamuragira volcano (1967–2011) with satellite data and automated classification methods
Mapping lava flows from Nyamuragira volcano (1967–2011) with satellite data and automated classification methods
复制标题
利用卫星数据和自动分类方法绘制尼亚穆拉吉拉火山（1967-2011）熔岩流图
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
S. Carn
中科院分区：
文献类型：
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作者：
E. Head;A. Maclean;S. Carn
在评估火山危害以及火山系统的生产力或寿命时，历史熔岩流的数量、位置和范围非常重要。我们使用 Landsat/Hyperion/ALI 数据集和自动分类方法来绘制刚果民主共和国尼亚穆拉吉拉火山（1967-2011）的熔岩流图。尼亚穆拉吉拉潮湿的热带气候是有利的，因为它的熔岩流位于森林茂密的侧翼，导致熔岩和植被之间形成强烈的对比，这有助于有效地绘制流动图。随着年龄的增加，Landsat band-4 反射率增加，表明熔岩流随着时间的推移而重新生长。这导致与相隔 5 年的重叠流形成明显的光谱对比。将熔岩流的面积范围与已发布的熔岩流厚度相结合来得出体积。 Landsat/Hyperion/ALI 数据集有利于快速且廉价地绘制未来流量图，特别是对于资源有限的火山观测站。
The volume, location and extent of historical lava flows are important when assessing volcanic hazards, as well as the productivity or longevity of a volcanic system. We use a Landsat/Hyperion/ALI dataset and automated classification methods to map lava flows at Nyamuragira volcano (1967–2011) in the Democratic Republic of the Congo. The humid tropical climate of Nyamuragira is advantageous because its lava flows are emplaced onto heavily forested flanks, resulting in strong contrast between lava and vegetation, which contributes to efficient flow mapping. With increasing age, there is an increase in Landsat band-4 reflectance, suggesting lava flow revegetation with time. This results in a distinct spectral contrast to delineate overlapping flows emplaced ∼5 years apart. Areal extents of the flows are combined with published lava flow thicknesses to derive volumes. The Landsat/Hyperion/ALI dataset is advantageous for mapping future flows quickly and inexpensively, particularly for volcano observatories where resources are limited.