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首页> 外文期刊>Journal of Coastal Conservation >Estimating blue carbon accumulated in a halophyte community using UAV imagery: a case study of the southern coastal wetlands in South Korea
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Estimating blue carbon accumulated in a halophyte community using UAV imagery: a case study of the southern coastal wetlands in South Korea

机译:估算UAV Imagerery含有烟道社区积累的蓝碳:韩国南部沿海湿地的案例研究

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摘要

Unmanned aerial vehicle (UAV) imagery is considered the best approach to acquire high-resolution data over a large area in a short time, such as in the case of coastal wetlands comprising small-sized patches of perennial plants. However, to the best of our knowledge, no previous studies have used UAV imagery to quantitatively estimate blue carbon in coastal wetlands. Therefore, this study aimed to estimate the area-wide carbon stocks accumulated in halophyte habitats through the case studies of the southern coastal wetlands in South Korea using UAV imagery. Accordingly, object-based image analysis was used to identify the spatial distribution of major halophytes based on the spectral reflectance derived from multispectral UAV images. Elemental analysis (EA) was performed to estimate the content of organic carbon accumulated in individual halophytes, and the halophyte communities identified in the case study area were confirmed to have accumulated 20.80 MgC of blue carbon. These results demonstrate that applying EA to UAV images can be an innovative method to solve the spatial uncertainty encountered in the monitoring of blue carbon in existing field-based surveys and traditional remote sensing.
机译:无人机(UAV)图像被认为是在短时间内获取大面积高分辨率数据的最佳方法,例如在由小型多年生植物组成的沿海湿地的情况下。然而,据我们所知,之前没有任何研究使用无人机图像来定量估算沿海湿地中的蓝碳。因此,本研究旨在通过使用无人机图像对韩国南部沿海湿地进行案例研究,估算盐生植物栖息地中累积的全区域碳储量。因此,基于对象的图像分析被用于根据多光谱无人机图像的光谱反射率识别主要盐生植物的空间分布。在研究中确定了80个有机盐群落的元素碳累积量,并对20个有机盐群落的元素碳累积量进行了估算。这些结果表明,将EA应用于无人机图像是解决现有实地调查和传统遥感中蓝碳监测中遇到的空间不确定性的一种创新方法。

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