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首页> 外文期刊>Computers and Electronics in Agriculture >Combining ultrasonic sward height and spectral signatures to assess the biomass of legume-grass swards
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Combining ultrasonic sward height and spectral signatures to assess the biomass of legume-grass swards

机译:结合超声波草皮高度和光谱特征来评估豆类草皮草的生物量

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In binary mixtures of either white clover (Trifolium repens L.), red clover (Trifolium pratense L.) or lucerne (Medicago sativa L.) with perennial ryegrass (Lolium perenne L.) as well as in pure swards of each single species, biomass has been assessed measuring sward height with an ultrasonic distance sensor and spectral-radiometric reflections. Measurements and sampling of reference data were conducted along a wide range of biomass levels on 0.25 m(2) subplots at 17 dates in 4 growth periods defined by 4 main cuts between September 2005 and September 2006. To improve biomass (BM) predictions on exclusive ultrasonic sward height (USH) by complementation of vegetation indices (VIs), a collection of existing and hyperspectral Via have been evaluated in combination with USH. While red/NIR-based VIs performed suboptimal, indices representing bands related to water absorption or the NIR-shoulder showed better predictions. Best prediction accuracies were achieved by a combination of USH with sward-specifically selected 1 nm bands using the normalized spectral vegetation index (NDSI) reaching R-2-values of 0.83 in common swards and 0.88-0.90 for species-specific calibrations, respectively. Broadening of bands up to 100 nm did only marginally reduce prediction accuracies. Using fixed NDSI bands selected from common swards instead of sward specific selected ones, did not significantly reduce prediction accuracy. It is identified that VIs act complementarily to USH and can avoid overestimations of BM frequently observed in grassland by the exclusive use of USH. Both, bandwidth flexibility and fixed NDSI band configurations can facilitate a configuration of sensors for legume-grass swards in a wide range of yield levels.
机译:在白三叶草(Trifolium repens L.),红三叶草(Trifolium pratense L.)或卢塞恩(Medicago sativa L.)与多年生黑麦草(Lolium perenne L.)的二元混合物中,以及每种单一物种的纯草皮中,已经评估了使用超声波距离传感器和光谱辐射反射测量草皮高度的生物质。在2005年9月至2006年9月的4个主要切割所定义的4个生长期的17个日期,对0.25 m(2)子图进行了大量生物量水平的测量和采样,以提高生物量(BM)预测的准确性。通过植被指数(VIs)的补充得出的超声波草地高度(USH),已与USH结合评估了现有和高光谱过孔的集合。尽管基于红色/ NIR的VI表现欠佳,但代表与吸水率或NIR肩部相关的波段的指数显示出更好的预测。通过将USH与特定于草皮的1 nm波段结合使用标准化的光谱植被指数(NDSI),在普通草皮中的R-2-值分别为0.83,对于特定物种的校准,R-2-值分别达到0.82和0.88-0.90,可获得最佳的预测精度。扩展至100 nm的波段只会稍微降低预测精度。使用从普通草地中选择的固定NDSI频段而不是特定草地中的特定NDSI频段不会显着降低预测准确性。可以确定的是,VI与USH具有互补作用,并且可以避免因USH的专有使用而经常在草原上经常观察到的BM被高估。带宽灵活性和固定的NDSI频段配置都可以在宽范围的产量水平上促进豆类草皮传感器的配置。

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