Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging
Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging
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DOI：
10.3390/rs61110395
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发表时间：
2014-11-01
期刊：
影响因子：
5
通讯作者：
Bareth, Georg
中科院分区：
文献类型：
--
作者：
Bendig, Juliane;Bolten, Andreas;Bareth, Georg
作物监测在精准农业中非常重要。估计地上生物量有助于监测作物活力和预测产量。在这项研究中，我们估计了18个品种和两个氮（N）处理的夏大麦试验点的鲜，干生物量使用作物表面模型（CSM）的株高（PH）。超高分辨率，多时间（1厘米/像素）的CSM来自红色，绿色，蓝色（RGB）的图像从一个小型无人机（UAV）捕获。与PH参考测量值的比较得出R-2为0.92。在“Biologische Bundesanstalt，Bundessortenamt und Chemische Industrie”（BBCH）阶段24-89期间监测具有不同品种和处理的试验地点。CSMs的pH值与鲜生物量（R-2 = 0.81）和干生物量（R-2 = 0.82）之间存在高度相关性。通过交叉验证对5个地上鲜、干生物量估算模型进行了检验。新鲜生物量的不同N处理之间的生物量建模产生了最好的结果（R-2 = 0.71）。主要的限制是在后期生长阶段倒伏品种的影响，产生不规则的植物高度。该方法具有未来由非专业人员应用的潜力，即，农民
Crop monitoring is important in precision agriculture. Estimating above-ground biomass helps to monitor crop vitality and to predict yield. In this study, we estimated fresh and dry biomass on a summer barley test site with 18 cultivars and two nitrogen (N)-treatments using the plant height (PH) from crop surface models (CSMs). The super-high resolution, multi-temporal (1 cm/pixel) CSMs were derived from red, green, blue (RGB) images captured from a small unmanned aerial vehicle (UAV). Comparison with PH reference measurements yielded an R-2 of 0.92. The test site with different cultivars and treatments was monitored during "Biologische Bundesanstalt, Bundessortenamt und CHemische Industrie" (BBCH) Stages 24-89. A high correlation was found between PH from CSMs and fresh biomass (R-2 = 0.81) and dry biomass (R-2 = 0.82). Five models for above-ground fresh and dry biomass estimation were tested by cross-validation. Modelling biomass between different N-treatments for fresh biomass produced the best results (R-2 = 0.71). The main limitation was the influence of lodging cultivars in the later growth stages, producing irregular plant heights. The method has potential for future application by non-professionals, i.e., farmers.