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Relationships between Normalized Difference Vegetation Index and Visual Quality in Turfgrasses: Effects of Mowing Height

机译:草坪草归一化差异植被指数与视觉质量之间的关系:割草高度的影响

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Canopy spectral reflectance may provide an objective means to evaluate visual quality of turfgrass, but evaluations of quality may be confounded by cultural practices that affect reflectance, such as mowing height. In this 2-yr study near Manhattan, KS, we examined effects of mowing height on relationships between normalized difference vegetation index (NDVI) and visual quality ratings in Kentucky bluegrass (KBG; Poa pratensis L., a€?Apolloa€?) and in a KBG ?— Texas bluegrass (Poa arachnifera Torr.) hybrid (HBG; a€?Thermal Bluea€?). Mowing heights were 7.62 cm (high) and 3.81 cm (low). The NDVI averaged 4.5 to 7% greater in high- than in low-mown plots. Distinct regression models of visual quality were found at each mowing height and in each species (r2 from 0.40 to 0.81); separate relationships between NDVI and visual quality were also found between years in the same plots. Correlations between NDVI and visual quality were stronger at high than at low mowing heights, possibly because of greater green biomass at high mowing heights. The 95% confidence intervals surrounding predictions of visual quality from NDVI ranged from ?±1.34 to 2.75 (on a 1-to-9 scale). Thus, lack of precision is a concern when using these models for detection of differences between treatments. Results indicate that when using NDVI to evaluate turfgrass quality, evaluations should be limited to plots maintained at the same mowing height and with the same species to reduce variability in NDVI.
机译:冠层光谱反射率可以提供客观的方法来评估草皮草的视觉质量,但是质量的评估可能会受到影响反射率的文化习俗(例如割草高度)的影响。在堪萨斯州曼哈顿附近的这项为期2年的研究中,我们研究了割草高度对肯塔基州兰草(KBG; Poa pratensis L.,apolloa?)和在KBG中?—德克萨斯蓝草(Poa arachnifera Torr。)杂种(HBG;热蓝豆)。割草高度为7.62厘米(高)和3.81厘米(低)。高耕地的NDVI平均要高出低耕地4.5至7%。在每个割草高度和每个物种中发现了明显的视觉质量回归模型(r2从0.40到0.81)。在同一图中,几年之间也发现了NDVI与视觉质量之间的不同关系。 NDVI与视觉质量之间的相关性在高处比在低割草高度时强,这可能是由于在高割草高度时绿色生物量更大。 NDVI的视觉质量预测的95%置信区间为±1.34至2.75(以1至9的比例)。因此,当使用这些模型检测治疗之间的差异时,缺乏精度是一个问题。结果表明,当使用NDVI评估草皮草质量时,评估应限于保持在相同割草高度和相同物种的地块,以减少NDVI的变异性。

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