利用主动光学传感器估算牧草生物量

Advances in Animal Biosciences Pub Date : 2017-07-01 DOI:10.1017/S2040470017000838

K. Andersson, M. Trotter, A. Robson, D. Schneider, Lucy Frizell, Ashley Saint, D. Lamb, C. Blore

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引用次数: 19

摘要

我们研究了牧草生物量与高度和NDVI(归一化植被指数)之间的关系。牧场为高羊茅(Festuca arundinacea)、多年生黑麦草(Lolium perenne)和phalaris (phalaris aquatica)，分布在维多利亚州塔斯马尼亚州和澳大利亚新南威尔士州北部高地。使用Trimble®GreenSeeker®手持式有源光学传感器(AOS)测量NDVI和上升板计，在两年内估计绿色干生物量(GDM)的最佳模型是NDVI和下降板高度指数的组合。综合指数与各地区冬春季GDM呈显著相关(r 2 =0.62 ~ 0.77, P . 1)

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Estimating pasture biomass with active optical sensors

We investigated relationship between pasture biomass and measures of height and NDVI (normalised difference vegetation index). The pastures were tall fescue ( Festuca arundinacea ), perennial ryegrass ( Lolium perenne ), and phalaris ( Phalaris aquatica ) located in Tasmania, Victoria and in the Northern Tablelands of NSW, Australia. Using the Trimble® GreenSeeker® Handheld active optical sensor (AOS) to measure NDVI, and a rising plate meter, the optimal model to estimate green dry biomass (GDM) during two years was a combination of NDVI and falling plate height index. The combined index was significantly correlated with GDM in each region during winter and spring (r 2 =0.62–0.77, P

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Advances in Animal Biosciences

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