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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >UAV Remote Sensing Can Reveal the Effects of Low-Impact Seismic Lines on Surface Morphology, Hydrology, and Methane (CH4) Release in a Boreal Treed Bog
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UAV Remote Sensing Can Reveal the Effects of Low-Impact Seismic Lines on Surface Morphology, Hydrology, and Methane (CH4) Release in a Boreal Treed Bog

机译：UAV遥感可以揭示低碰撞地震线对博尔美德沼泽中表面形态，水文和甲烷（CH4）释放的影响

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摘要

Peatlands are globally significant stores of soil carbon, where local methane (CH_4) emissions are strongly linked to water table position and microtopography. Historically, these factors have been difficult to measure in the field, constraining our capacity to observe local patterns of variability. In this paper, we show how remote sensing surveys conducted from unmanned aerial vehicle (UAV) platforms can be used to map microtopography and depth to water over large areas with good accuracy, paving the way for spatially explicit estimates of CH_4 emissions. This approach enabled us to observe-for the first time-the effects of low-impact seismic lines (LIS; petroleum exploration corridors) on surface morphology and CH_4 emissions in a treed-bog ecosystem in northern Alberta, Canada. Through compaction, LIS lines were found to flatten the observed range in microtopographic elevation by 46 cm and decrease mean depth to water by 15.4 cm, compared to surrounding undisturbed conditions. These alterations are projected to increase CH_4 emissions by 20-120% relative to undisturbed areas in our study area, which translates to a total rise of 0.011-0.027 kg CH_4 day~(-1) per linear kilometer of LIS (~2 m wide). The ~16 km of LIS present at our 61 ha study site were predicted to boost CH_4 emissions by 20-70 kg between May and September 2016.
机译：泥炭地是全球性的土壤碳储备，其中甲烷（CH_4）排放与水位位置和微拷压相连。从历史上看，这些因素难以在现场测量，限制我们观察局部可变性模式的能力。在本文中，我们展示了如何使用从无人驾驶飞行器（UAV）平台进行的遥感调查，以便在大面积上将微拷贝和深度映射到水上，精度良好，为CH_4排放的空间明确估算铺平了道路。这种方法使我们能够首次观察 - 低冲击地震线（LIS;石油勘探走廊）对加拿大北艾尔伯塔北部的Treed-Bog生态系统的表面形态和CH_4排放的影响。通过压实，发现LIS线将观察到的显微镜升高的范围压平46厘米，与周围未受干扰的条件相比，将平均深度降低到水的平均深度为15.4厘米。预计这些更改将增加20-120％的CH_4排放，相对于我们的研究区内未受干扰的区域，其总增加了0.011-0.027公斤CH_4天〜（-1）的LIS（〜2米宽） ）。在我们的61公顷学习遗址〜16公里目前，预计将在2016年5月至9月之间促进CH_4排放量20-70公斤。

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