Answers are grounded in this paper and cite their sources.
To differentiate between canopy and vegetation cover is particularly challenging. Nonetheless, it is pivotal in obtaining the exact crops’ vegetation when using remote-sensing data. In this article, a method to automatically estimate and extract vineyards’ canopy is proposed. It combines vegetation indices and digital elevation models – derived from high-resolution images, acquired using unmanned aerial vehicles – to differentiate between vines’ canopy and inter-row vegetation cover. This enables the extraction of relevant information from a specific vineyard plot. The proposed method was applied to data acquired from some vineyards located in Portugal’s north-eastern region, and the resulting parameters were validated. It proved to be an effective method when applied with consumer-grade sensors, carried by unmanned aerial vehicles. Moreover, it also proved to be a fast and efficient way to extract vineyard information, enabling vineyard plots mapping for precision viticulture management tasks.
No takes yet. Share an insight, caveat, or question.
Pádua et al. (2018) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: