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APPLICATION OF AERIAL DIGITAL PHOTOGRAPHY FOR MACROPHYTE COVER AND COMPOSITION SURVEY IN SMALL RURAL STREAMS

机译:航空数字照相技术在小农村地区宏观植物覆盖和组成调查中的应用

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摘要

Macrophytes are a key biological component in many fluvial ecosystems. In altered streams, they can become highly dominant features, covering extensive parts of the channel with cascading effects on stream conditions and biological composition. The aim of this study is to examine the possibility of using information collected by aerial digital photography-spectral analysis (ADP-SA) as an alternative, cost-effective methodology to the commonly used spectral procedure at a large (section) scale, and to the ground level visual survey (gridded frame) at a smaller (organism) scale. Cladophora glomerata and Nasturtium officinale, were selected as the targeted macrophyte species and classified at the same time (species relative cover) by using the three methodologies. Our findings show that the ADP-SA methodology was able to detect species and relative cover in similar accuracy (≤10% differences) at the two spatial scales. ADP-SA had a better spatial resolution than both the hyperspectral and the visual methodology (4 cm vs. 1 m and 10 cm, respectively) and was capable to differentiate submerged from emergent plants. However, on a smaller scale, ground level work is suitable and essential for detecting rarer species and is not hindered by weather, canopy cover or multi-layered plant composition. ADP-SA can therefore add a cost-effective and nonsubjective practice to the existing tool kit of macrophyte surveys, particularly in small streams, which require high spatial resolution.
机译:大型植物是许多河流生态系统中的关键生物成分。在变化的河流中,它们可能会成为高度主导的特征,覆盖河道的大部分区域,对河流状况和生物组成具有级联效应。这项研究的目的是研究使用航空数字摄影光谱分析(ADP-SA)收集的信息作为大范围(截面)常用光谱程序的一种替代,经济高效的方法,以及在较小(生物)规模上进行地面视觉调查(网格框)。选择Cladophora glomerata和Nasturtium officinale作为目标大型植物物种,并使用三种方法同时对其进行分类(物种相对覆盖度)。我们的发现表明,ADP-SA方法能够在两个空间尺度上以相似的准确度(≤10%差异)检测物种和相对覆盖度。 ADP-SA具有比高光谱和视觉方法更好的空间分辨率(分别为4 cm,1 m和10 cm),并且能够区分淹没的植物和萌芽的植物。但是,在较小规模上,地面工作对于检测稀有物种是合适且必不可少的,并且不受天气,树冠覆盖或多层植物成分的影响。因此,ADP-SA可以为大型植物调查的现有工具包(尤其是在需要高空间分辨率的小溪流中)增加一种经济高效且非主观的做法。

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