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Choosing A DIVA: A Comparison of Emerging Digital Imagery Vegetation Analysis Techniques

机译:选择DIVa:新兴数字化的比较 图像植被分析技术

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摘要

Question: What is the precision of five methods of measuring vegetation structure using ground-based digital imagery and processing techniques?Location: Lincoln, Nebraska, USA.Methods: Vertical herbaceous cover was recorded using digital imagery techniques at two distinct locations in a mixed-grass prairie. The precision of five ground-based digital imagery vegetation analysis (DIVA)methods for measuring vegetation structure was tested using a split-split plot analysis of covariance. Variability within each DIVA technique was estimated using coefficient of variation of mean percentage cover.Results: Vertical herbaceous cover estimates differed among DIVA techniques. Additionally, environmental conditions affected the vertical vegetation obstruction estimates for certain digital imagery methods, while other techniques were more adept at handling various conditions. Overall, percentage vegetation cover values differed among techniques, but the precision of four of the five techniques was consistently high.Conclusions: DIVA procedures are sufficient for measuring various heights and densities of standing herbaceous cover. Moreover, digital imagery techniques can reduce measurement error associated withmultiple observers’ standing herbaceous cover estimates, allowing greater opportunity to detect patterns associated with vegetation structure.
机译:问题:使用地面数字图像和处理技术测量植被结构的五种方法的精度是多少?地点:美国内布拉斯加州林肯方法:使用数字图像技术在两个不同位置的混合位置记录垂直草皮草草原。使用协方差的拆分图分析法测试了五种用于测量植被结构的地面数字图像植被分析(DIVA)方法的精度。使用平均百分比覆盖率的变异系数来估算每种DIVA技术中的变异性。结果:DIVA技术之间的垂直草皮覆盖率估计有所不同。此外,环境条件影响了某些数字成像方法的垂直植被阻塞估计,而其他技术则更擅长处理各种条件。总体而言,不同技术之间的植被覆盖率百分比有所不同,但是五种技术中的四种精度始终很高。结论:DIVA程序足以测量站立的草本覆盖物的各种高度和密度。此外,数字图像技术可以减少与多个观察者的常规草本覆盖估计相关的测量误差,从而为检测与植被结构相关的模式提供了更大的机会。

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