High-Resolution Classification of South Patagonian Peat Bog Microforms Reveals Potential Gaps in Up-Scaled CH4 Fluxes by use of Unmanned Aerial System (UAS) and CIR Imagery
High-Resolution Classification of South Patagonian Peat Bog Microforms Reveals Potential Gaps in Up-Scaled CH4 Fluxes by use of Unmanned Aerial System (UAS) and CIR Imagery
复制标题
DOI：
10.3390/rs8030173
复制
发表时间：
2016-02
期刊：
影响因子：
--
通讯作者：
J. Lehmann;Wiebke Münchberger;Christian Knoth;C. Blodau;Felix Nieberding;Torsten Prinz;V. Pancotto;T. Kleinebecker
中科院分区：
文献类型：
--
作者：
J. Lehmann;Wiebke Münchberger;Christian Knoth;C. Blodau;Felix Nieberding;Torsten Prinz;V. Pancotto;T. Kleinebecker
南巴塔哥尼亚泥炭沼泽很少研究甲烷（CH4）的来源。由于甲烷通量在米的小尺度上变化很大，因此需要高质量的地图来准确量化沼泽的甲烷通量。我们使用高分辨率的彩色红外（CIR）图像捕获的无人机系统（UAS）调查潜在的不确定性，在总生态系统CH4通量的表面积的分类介绍。一个基于对象的方法被用来分类植被的物种和微形态水平。我们实现了总体Kappa一致性指数（KIA）为0.90的物种和0.83的微形态水平的分类，分别。甲烷通量测定封闭室测量四个主要microforms的研究沼泽。这两种分类方法都被用来扩大总面积约1.8公顷的甲烷密闭室测量。包括比例的表面积，没有商会进行测量，我们估计一个潜在的不确定性，在生态系统CH4通量介绍的分类表面积。这种潜在的不确定性范围为14.2 mg·m−2·d −1至26.8 mg·m−2·d −1。我们的研究结果表明，一个简单的分类，只有几个类可能会导致显着的偏见，总生态系统CH4通量时，地块规模的通量放大。
South Patagonian peat bogs are little studied sources of methane (CH4). Since CH4 fluxes can vary greatly on a small scale of meters, high-quality maps are needed to accurately quantify CH4 fluxes from bogs. We used high-resolution color infrared (CIR) images captured by an Unmanned Aerial System (UAS) to investigate potential uncertainties in total ecosystem CH4 fluxes introduced by the classification of the surface area. An object-based approach was used to classify vegetation both on species and microform level. We achieved an overall Kappa Index of Agreement (KIA) of 0.90 for the species- and 0.83 for the microform-level classification, respectively. CH4 fluxes were determined by closed chamber measurements on four predominant microforms of the studied bog. Both classification approaches were employed to up-scale CH4 closed chamber measurements in a total area of around 1.8 hectares. Including proportions of the surface area where no chamber measurements were conducted, we estimated a potential uncertainty in ecosystem CH4 fluxes introduced by the classification of the surface area. This potential uncertainty ranged from 14.2 mg·m−2·day−1 to 26.8 mg·m−2·day−1. Our results show that a simple classification with only few classes potentially leads to pronounced bias in total ecosystem CH4 fluxes when plot-scale fluxes are up-scaled.