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Temporal stability of within-field patterns of NDVI in non irrigated Mediterranean vineyards

机译:非灌溉地中海葡萄园内NDVI田间模式的时间稳定性

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Aims: The objective of this paper is to study the temporal stability of withinfield spatial variability of the Normalised Difference Vegetative Index (NDVI) at two time scales: intra-annual and inter-annual. This study aims to provide answers to the practical use of NDVI and, in particular, to determine whether it is possible (i) to advance the date of image acquisition in order to increase the time required for image analysis and interpretation before harvest and (ii) to verify if an image acquired in one year can be used to manage the vineyard in the following years.Methods and results: The study was conducted on 17 individual fields. The analysis of the intra-annual stability was performed with four images in 2007 and two images in 2006 that were acquired at different stages of vine development. The analysis of the inter-annual stability was performed with five images taken around veraison on five different years over a period of 10 years (from 1999 to 2009). For the 17 fields of the study, a sampling grid was defined to take into account the characteristics of image processing and the particular shape of each field. A rank coefficient of correlation (Spearman) was used to characterize the correlation between dates of acquisition (images). A Kendall test was implemented to individually characterize and identify the source of the observed temporal stability.Conclusion: In Mediterranean conditions, this study highlighted the temporal stability of within-field NDVI patterns both within a season or between seasons. Regarding the intra-annual scale, an image acquired from 15 to 20 days before veraison had a significant correlation (p < 0.05) with an image acquired at harvest. For earlier images (i.e., taken around flowering), the strength of the correlation decreased as the time lag between two images increased. This decrease was probably linked to summer pruning operations, the presence of an inter-row cover crop or a spring vigour that differed from the final vigour in some fields. Regarding the inter-annual scale, images acquired at veraison were all significantly correlated (p < 0.05) over the 10 year period regardless of the time lag between image acquisition. The degree of the correlation decreases continuously with time. For the 17 fields of the experiment, a decrease in the stability of NDVI between years was noticeable when significant changes in vine training (irrigation, replanting) occurred. For fields that did not undergo major changes, the spatial patterns of NDVI could be considered relatively stable over time for periods up to 3 to 5 years according to the age of the vineyard.Significance and impact of the study: This study showed that in Mediterranean conditions it is possible (i) to advance the date of image acquisition to at least 20 days before veraison if the objective is to highlight the spatial variability at harvest, (ii) to use information from an image acquired at veraison over several subsequent years if the field does not undergo major changes in management practices and (iii) to use early-season images (around flowering) as a potential source of information for managing other operations.
机译:目的:本文的目的是在两个年度尺度上研究归一化差异植被指数(NDVI)的田间空间变异的时间稳定性。这项研究旨在为NDVI的实际使用提供答案,尤其是确定是否有可能(i)提前获取图像的日期,以增加收获前图像分析和解释所需的时间,以及(ii ),以验证一年后获得的图像是否可以在接下来的几年中用于管理葡萄园。方法和结果:该研究针对17个领域进行。对年内稳定性的分析是用2007年的四幅图像和2006年的两幅图像在葡萄生长的不同阶段进行的。对年际稳定性的分析是在10年(从1999年到2009年)的5个不同年份中,通过逐张拍摄的5张图像进行的。对于该研究的17个领域,定义了采样网格,以考虑图像处理的特性以及每个领域的特定形状。相关等级系数(Spearman)用于表征采集日期(图像)之间的相关性。进行了一项Kendall测试,以分别表征和确定观测到的时间稳定性的来源。结论:在地中海条件下,本研究着重说明了一个季节内或两个季节之间田间NDVI模式的时间稳定性。关于年内尺度,从veraison之前的15到20天获取的图像与收获时获取的图像具有显着的相关性(p <0.05)。对于较早的图像(即在开花前后拍摄),相关强度随着两个图像之间的时间滞后的增加而降低。这种减少可能与夏季修剪操作,行间覆盖作物的存在或春季活力与某些田间的最终活力不同有关。关于年际尺度,无论图像获取之间的时间间隔如何,在10年期间内,在veraison上获取的图像都具有显着相关性(p <0.05)。相关度随时间连续降低。对于该实验的17个田地,当葡萄树训练(灌溉,补种)发生重大变化时,NDVI的稳定性在几年之间会明显下降。对于没有发生重大变化的田地,根据葡萄园的年龄,NDVI的空间格局在长达3-5年的时间内可能被认为是相对稳定的。研究的意义和影响:该研究表明,在地中海地区在下列情况下:(i)如果目的是突出收获时的空间变异性,则可以(i)将图像获取的日期提前至少20天,(ii)如果在接下来的几年中使用来自[Veraison]的图像信息该领域在管理实践上未发生重大变化,并且(iii)使用早期季节图像(开花前后)作为管理其他业务的潜在信息源。

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