Characterization of measurement errors using structure-from-motion and photogrammetry to measure marine habitat structural complexity.
Characterization of measurement errors using structure-from-motion and photogrammetry to measure marine habitat structural complexity.
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DOI：
10.1002/ece3.3127
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发表时间：
2017-08
影响因子：
2.6
通讯作者：
Byrne M
中科院分区：
文献类型：
--
作者：
Bryson M;Ferrari R;Figueira W;Pizarro O;Madin J;Williams S;Byrne M
栖息地结构的复杂性是决定生物群落组成的最重要因素之一。运动结构和摄影测量的最新进展导致栖息地 3D 数字表示的激增，从中可以测量结构的复杂性。很少有人关注量化与这些技术相关的测量误差，包括不同测量和环境条件下结果的可变性。这些错误可能会混淆比较栖息地在空间和时间上的复杂性的研究。本研究通过对人工珊瑚礁（结构已知）和天然珊瑚礁的重复调查，评估了通过运动结构和摄影测量测量得出的海洋栖息地结构复杂性测量的准确性、精确度和偏差。我们将测量误差量化为调查图像覆盖范围、实际表面粗糙度和栖息地形成生物（珊瑚礁）的形态群落组成的函数。我们的结果表明，根据任何特定调查期间存在的环境条件，测量结果可能会出现高达结构复杂性总观察范围 7.5% 的偏差。在测量误差和实际复杂性之间发现了正相关关系，并且当珊瑚形态和丰度也被用作预测因子时，这些关系的强度会增加。运动结构和摄影测量技术在量化和研究海洋栖息地方面具有众多优势，这意味着它们很可能取代传统的测量技术（例如链带测量技术）。为此，我们的结果对于使用运动结构和摄影测量检查栖息地复杂性变化时的数据收集和测量解释具有重要意义。
Habitat structural complexity is one of the most important factors in determining the makeup of biological communities. Recent advances in structure‐from‐motion and photogrammetry have resulted in a proliferation of 3D digital representations of habitats from which structural complexity can be measured. Little attention has been paid to quantifying the measurement errors associated with these techniques, including the variability of results under different surveying and environmental conditions. Such errors have the potential to confound studies that compare habitat complexity over space and time. This study evaluated the accuracy, precision, and bias in measurements of marine habitat structural complexity derived from structure‐from‐motion and photogrammetric measurements using repeated surveys of artificial reefs (with known structure) as well as natural coral reefs. We quantified measurement errors as a function of survey image coverage, actual surface rugosity, and the morphological community composition of the habitat‐forming organisms (reef corals). Our results indicated that measurements could be biased by up to 7.5% of the total observed ranges of structural complexity based on the environmental conditions present during any particular survey. Positive relationships were found between measurement errors and actual complexity, and the strength of these relationships was increased when coral morphology and abundance were also used as predictors. The numerous advantages of structure‐from‐motion and photogrammetry techniques for quantifying and investigating marine habitats will mean that they are likely to replace traditional measurement techniques (e.g., chain‐and‐tape). To this end, our results have important implications for data collection and the interpretation of measurements when examining changes in habitat complexity using structure‐from‐motion and photogrammetry.
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