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首页> 外文期刊>Journal of Earth Science & Climatic Change >Landsat Image Analysis of Tree Mortality in the Southern Sierra NevadaRegion of California during the 2013-2015 Drought
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Landsat Image Analysis of Tree Mortality in the Southern Sierra NevadaRegion of California during the 2013-2015 Drought

机译:内华达山脉南部2013-2015年干旱期间树木死亡率的Landsat图像分析

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The United States Forest Service (USFS) observed marked increases in tree mortality in the southern Sierra Nevada foothills and mountains of California using aerial monitoring surveys in April 2015. Aircraft flew over 4 million acres of forested land and found that about 20 percent of forest stands had detectable mortality, totaling 10.45 million dead trees. In this study, Landsat satellite imagery was analyzed at over 90% of these high tree mortality sites in the southern Sierra to understand how the three consecutive years (2013-2015) of extreme drought conditions compared to changes in forest stand growth rates dating to the mid-1980s across this region. Results showed that changes in Landsat droughtsensitive indices from the years 2011 to 2015 closely matched patterns of tree mortality across USFS April 2015 aerial survey locations in the southern Sierra Nevada. The historically low snow year of 2015 could have essentially reset the average forest canopy density for many forests in the region to late 1980s levels, due to drought-related mortality, combined with numerous large stand-replacing wildfires. The corresponding patterns and trends in Landast droughtsensitive indices with observed tree mortality rates can better inform region-wide assessments of forest growth trends and enable long-term drought impact monitoring.
机译:美国森林服务局(USFS)于2015年4月通过空中监测调查观察到内华达山脉南部丘陵和加利福尼亚山区的树木死亡率显着增加。飞机飞越了超过400万英亩的林地,发现约有20%的林分具有可检测的死亡率,总计1045万棵枯树。在这项研究中,对塞拉南部90%以上的高树死亡率地点的Landsat卫星图像进行了分析,以了解与干旱以来的连续三年(2013-2015年)极端干旱状况相比,林分增长率的变化情况。该地区在1980年代中期。结果显示,从2011年到2015年,Landsat干旱敏感指数的变化与内华达山脉南部2015年4月USFS航测位置的树木死亡率模式非常匹配。由于干旱造成的死亡,加上大量替代林地的大火,2015年历史上较低的降雪年可能使该地区许多森林的平均森林冠层密度基本重置为1980年代后期的水平。 Landast干旱敏感指数的相应模式和趋势以及观察到的树木死亡率可以更好地为整个区域的森林生长趋势评估提供依据,并能够进行长期干旱影响监测。

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