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首页> 外文期刊>Rangeland Ecology & Management >Measuring Eastern Redcedar ((Juniperus virginiana L.)) Mass With the Use of Satellite Imagery
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Measuring Eastern Redcedar ((Juniperus virginiana L.)) Mass With the Use of Satellite Imagery

机译:利用卫星图像测量东部红柏((Juniperus virginiana L.))质量

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Eastern redcedar ((Juniperus virginiana L.)) is an aggressively spreading native species in Oklahoma grasslands. It decreases rangeland forage production, and has been implicated in reducing stream flow and groundwater recharge. Industrial-scale plans to use redcedar as a biofuel source are being considered. Optimal placement of redcedar-based industries requires determination of redcedar availability. Such large-area inventories of redcedar mass can be practically addressed via aircraft or satellite remote sensing. Therefore, we conducted a study in central and western Oklahoma to develop and test a remote-sensing--based allometric equation relating redcedar canopy area to aboveground dry mass ((AGM)). We used automated methods to measure tree canopy area from georectified, pan-sharpened, multispectral QuickBird images having a spatial resolution of 0.45 m2 per pixel ground sample area. We also measured the canopy area and fresh and dry mass of these trees with the use of destructive sampling techniques. Regression analysis showed that satellite-derived measurements of canopy coverage explained about 85%% of field-measured redcedar dry AGM in the study plots. The resulting allometric equation was applied to an independent data set, yielding dry AGM of 38.2 metric tons times times ha--1, which was well within the field-measured range of 36--43 metric tons times times ha--1. The allometric equation was then applied to Natural Resources Conservation Service measurements of redcedar canopy coverage for 17 counties in Oklahoma, to determine that the area of interest contains a median value of about 11.5 million metric tons of redcedar AGM. These results indicate that 0.45-m2 spatial resolution multispectral imagery can be a useful tool for rapid and reliable measurement of redcedar dry AGM.
机译:东部红柏((Juniperus virginiana L.))是俄克拉荷马州草原上一个活跃传播的原生物种。它减少了牧场的牧草产量,并且与减少溪流和补给地下水有关。正在考虑将红杉杉用作生物燃料源的工业规模计划。基于红杉的行业的最佳布局需要确定红杉的可用性。可以通过飞机或卫星遥感实际解决这种大面积的红杉树库存。因此,我们在俄克拉荷马州中部和西部进行了一项研究,以开发和测试基于遥感的异速方程,将红杉树冠面积与地上干重((AGM))联系起来。我们使用自动方法从经过地理校正,泛锐化的多光谱QuickBird图像测量树冠面积,该图像的空间分辨率为每个像素地面样本区域0.45 m2。我们还使用破坏性采样技术测量了这些树木的树冠面积以及新鲜和干燥的质量。回归分析表明,在研究区中,由卫星得出的树冠覆盖率测量值解释了实地测量的红杉干AGM的约85 %%。由此产生的异速方程被应用到一个独立的数据集,得出的干AGM为38.2公吨乘ha--1,完全在实地测量范围内36--43公吨乘ha--1。然后将测长方程应用于自然资源保护局对俄克拉荷马州17个县的红杉冠层覆盖度的测量,以确定感兴趣区域的中值约为1150万吨红杉AGM。这些结果表明,0.45平方米的空间分辨率多光谱图像可以作为快速可靠地测量红杉干AGM的有用工具。

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