The increasing use of geospatial information from satellites and unmanned aerial vehicles (UAVs) has been contributing to significant growth in the availability of instruments and methodologies for data acquisition and analysis. For better management of vineyards (and most crops), it is crucial to access the spatial-temporal variability. This knowledge throughout the vegetative cycle of any crop is crucial for more efficient management, but in the specific case of viticulture, this knowledge is even more relevant. Some research studies have been carried out in recent years, exploiting the advantage of satellite and UAV data, used individually or in combination, for crop management purposes. However, only a few studies explore the multi-temporal use of these two types of data, isolated or synergistically. This research aims to clearly identify the most suitable data and strategies to be adopted in specific stages of the vineyard phenological cycle. Sentinel-2 data from two vineyard plots, located in the Douro Demarcated Region (Portugal), are compared with UAV multispectral data under three distinct conditions: considering the whole vineyard plot; considering only the grapevine canopy; and considering inter-row areas (excluding all grapevine vegetation). The results show that data from both platforms are able to describe the vineyards’ variability throughout the vegetative growth but at different levels of detail. Sentinel-2 data can be used to map vineyard soil variability, whilst the higher spatial resolution of UAV-based data allows diverse types of applications. In conclusion, it should be noted that, depending on the intended use, each type of data, individually, is capable of providing important information for vineyard management.


    Access

    Download


    Export, share and cite



    Title :

    Synergistic Use of Sentinel-2 and UAV Multispectral Data to Improve and Optimize Viticulture Management


    Contributors:


    Publication date :

    2022




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Using Multispectral Sentinel-2 Data to Monitor Submerse Macrophytes

    Wolf, P. / Roessler, S. / Schneider, T. et al. | British Library Conference Proceedings | 2012


    The Viticulture and Enology in Switzerland

    Rothen, F. / International Association for Winery Technology and Management | British Library Conference Proceedings | 1993


    Evaluation of Multispectral Image for Mangrove Health Assessment Using Sentinel 2A and Field Spectrometer Data

    Simarmata, Nirmawana / Wikantika, Ketut / Darmawan, Soni et al. | IEEE | 2022


    Irrigated Viticulture In Australia-Improving Wine Grape Irrigation

    Zoldoske, D. | British Library Online Contents | 1999


    Comparison of Sentinel-2 and UAV Multispectral Data for Use in Precision Agriculture: An Application from Northern Greece

    Nikolaos Bollas / Eleni Kokinou / Vassilios Polychronos | DOAJ | 2021

    Free access