terclim by ICS banner
IVES 9 IVES Conference Series 9 Application of satellite-derived vegetation indices for frost damage detection in grapevines

Application of satellite-derived vegetation indices for frost damage detection in grapevines

Abstract

Wine grape production is increasingly vulnerable to freeze damage due to warming climates, milder winters, and unpredictable late spring frosts. Traditional methods for assessing frost damage in grapevines which combine fieldwork and meteorological data, are expensive, time-consuming, and labor-intensive. Remote sensing could offer a rapid, inexpensive way to detect frost damage at a regional scale. Remote sensing approaches were used to assess freeze damage in grapevines by evaluating satellite-derived vegetation indices (VIs) to understand the severity and spatial distribution of damage in several New York vineyards immediately after a frost event (May 17th-18th, 2023). PlanetScope 3m satellite images acquired before and after the freeze were used to map damage and measure changes in VIs for vineyards in the Finger Lakes region. We compared growers’ data to time-series data of each index to assess how quickly satellite-derived VIs could detect changes in vegetation following the frost. We also used VIs to identify which varieties sustained the least amount of damage within an individual vineyard and compared these to grower-reported metrics. All indices showed vegetation decline after the frost, but index performance differed spatially within each vineyard. NDVI and EVI had higher sensitivity to freeze damage detection and time-series analyses showed a general delay in all indices for detecting vegetation changes following the frost. Studies to link other abiotic stress responses to hyperspectral signatures are ongoing with the goal of utilizing space-based imagery for evaluating historical impacts of climate stress and building prediction models for future climate resiliency.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Faith Twinamaani1, Kathleen Kanaley2, Katie Gold2, Jason P Londo1

1 School of Integrative Plant Science, Horticulture section. Cornell University, Cornell Agritech, Geneva, NY, USA
2 School of Integrative Plant Science, Plant Pathology and Plant-Microbe Biology section, Cornell University, Cornell Agritech, Geneva, NY, USA

Contact the author*

Keywords

Remote sensing, Frost damage, NDVI, Satellite-based phenotyping

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Effect of fertigation strategies to adapt PGI Côtes de Gascogne production to hot vintage

The development of fertigation could be a possible solution to adapt PGI Côtes de Gascogne (south-western France) wine production to climate change. The goal would be to limit the negative effects of water stress on yield performance expectation (around 15 tons per hectare) and to make the use of fertilizers more efficient. This study aimed to compare the effects of three strategies of water and minerals supply on grapes and wines qualities. Two fertigation practices were compared to a rainfed control which is the current standard of the local grape growing production. The fertilizers (nitrogen and potassium) were (i) fully brought by irrigation pipe during the season, (ii) partially brought by irrigation pipe and partially on the soil or (iii) fully brought on the soil at the beginning of the season for the non-irrigated control (local standard). The trial was run on cv. Colombard trained on spur pruned with vertical shoot positioning system on a sandy-silty-clay soil over the 2020 vintage which was particularly hot for the region. Moderate to strong water deficit appeared during the growing period of the berries and held on after veraison. Irrigation strategies allowed for maintaining grapevine without water deficit and being significantly different from the control water status. Grapevine with fully or partial fertigation strategies produced 25% more yield mainly due to the increase of the bunch weight. Also, the fully fertigation showed the best ratio between yield and maturity and brought 30% less of fertilizers (both nitrogen and potassium) than the two other strategies. Finally, the analysis of aromatic compounds in Colombard wines, varietal thiols family, showed the same level of concentrations for the 3 treatments, confirming that the yield performance did not impact the aromatic potential in this trial.

H-NMR metabolic profiling of wines from three cultivars, three soil types and two contrasting vintages

Differences in wine flavour proceed primarily from grape quality. Environmental factors determined by the climate, soil and training systems modify many grape and wine quality traits. Metabolic profiling based on proton nuclear magnetic resonance (1H-NMR) spectra has been proved to be useful to study multifactorial effects of the vine environment on intricate grape quality traits. The capacity of this method to discriminate the environmental effects on wine has to be demonstrated.

Understanding novel germplasm solutions: sensory, chemical and preliminary hedonic insights of wines made from Australian first-generation mildew resistant cultivars

One of the major issues for wine production in Australia is the management and eradication of powdery and downy mildews and the associated yield losses they present, costing Australian grape growers upwards of AUD$160M per annum [1].

Characterization of bunch compactness and identification of associated genes in a diverse collection of cultivars of Vitis vinifera L.

Compactness is a complex trait of V. vinifera L. and is defined ultimately by the portion of free space within the bunch which is not occupied by the berries. A high degree of compactness results in poor ventilation and consequently a higher susceptibility to fungal diseases, diminishing the quality of the fruit. The easiness to conceptualize the trait and its importance arguably contrasts with the difficulty to measure and quantify it. However, recent technical advancements have allowed to study this attribute more accurately over the last decade. Our main objective was to explore the underlying genetics determining bunch compactness by applying updated phenotyping methods in a collection of V. vinifera L. cultivars with a wide genetic diversity.

Assessing bunch architecture for grapevine yield forecasting by image analysis

It is fundamental for wineries to know the potential yield of their vineyards as soon as possible for future planning of winery logistics. As such, non-invasive image-based methods are being investigated for early yield prediction. Many of these techniques have limitations that make it difficult to implement for practical use commercially. The aim of this study was to assess whether yield can be estimated using images taken in-field with a smartphone at different phenological stages. The accuracy of the method for predicting bunch weight at different phenological stages was assessed for seven different varieties.