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Estimation of soil classes and their relationship to grapevine vigor in a Bordeaux vineyard: advancing the practical joint use of electromagnetic induction (EMI) and NDVI datasets for precision viticulture
Precision Agriculture ( IF 6.2 ) Pub Date : 2021-02-01 , DOI: 10.1007/s11119-021-09788-w
Susan S. Hubbard , Myriam Schmutz , Abdoulaye Balde , Nicola Falco , Luca Peruzzo , Baptiste Dafflon , Emmanuel Léger , Yuxin Wu

Working within a vineyard in the Pessac Léognan Appellation of Bordeaux, France, this study documents the potential of using simple statistical methods with spatially-resolved and increasingly available electromagnetic induction (EMI) geophysical and normalized difference vegetation index (NDVI) datasets to accurately estimate Bordeaux vineyard soil classes and to quantitatively explore the relationship between vineyard soil types and grapevine vigor. First, co-located electrical tomographic tomography (ERT) and EMI datasets were compared to gain confidence about how the EMI method averaged soil properties over the grapevine rooting depth. Then, EMI data were used with core soil texture and soil-pit based interpretations of Bordeaux soil types (Brunisol, Redoxisol, Colluviosol and Calcosol) to estimate the spatial distribution of geophysically-identified Bordeaux soil classes. A strong relationship (r = 0.75, p < 0.01) was revealed between the geophysically-identified Bordeaux soil classes and NDVI (both 2 m resolution), showing that the highest grapevine vigor was associated with the Bordeaux soil classes having the largest clay fraction. The results suggest that within-block variability of grapevine vigor was largely controlled by variability in soil classes, and that carefully collected EMI and NDVI datasets can be exceedingly helpful for providing quantitative estimates of vineyard soil and vigor variability, as well as their covariation. The method is expected to be transferable to other viticultural regions, providing an approach to use easy-to-acquire, high resolution datasets to guide viticultural practices, including routine management and replanting.



中文翻译:

估计波尔多葡萄园土壤类型及其与葡萄活力的关系:推进电磁感应(EMI)和NDVI数据集在精确葡萄栽培中的实际联合使用

该研究工作在法国波尔多PessacLéognan产区的葡萄园中,该研究记录了使用简单的统计方法以及空间分辨的和日益可用的电磁感应(EMI)地球物理和归一化差异植被指数(NDVI)数据集来准确估算波尔多的潜力葡萄园土壤分类,并定量探索葡萄园土壤类型与葡萄活力之间的关系。首先,比较了位于同一地点的电子断层扫描(ERT)和EMI数据集,从而获得了关于EMI方法如何在葡萄生根深度上平均土壤性质的信心。然后,将EMI数据与波尔多土壤类型(Brunisol,Redoxisol,Colluviosol和Calcosol)来估计由地球物理确定的波尔多土壤类别的空间分布。地理学上确定的波尔多土壤类别与NDVI(均为2 m分辨率)之间存在很强的关系(r = 0.75,p <0.01),表明葡萄活力最高与粘土含量最大的波尔多土壤类别相关。结果表明,葡萄活力的块内变异在很大程度上受土壤类别变异的控制,并且精心收集的EMI和NDVI数据集可以非常有用地提供葡萄园土壤和活力变异及其协变的定量估计。预计该方法可以转移到其他葡萄栽培地区,从而提供一种易于获取,

更新日期:2021-02-02
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