Airborne remote sensing in precision viticolture: assessment of quality and quantity vineyard production using multispectral imagery: a case study in Velletri, Rome surroundings (central Italy)

Gianluca Tramontana; Dario Papale; Filippo Girard; Claudio Belli; Paolo Pietromarchi; Domenico Tiberi; Maria C. Comandini

doi:10.1117/12.830450

18 September 2009 Airborne remote sensing in precision viticolture: assessment of quality and quantity vineyard production using multispectral imagery: a case study in Velletri, Rome surroundings (central Italy)

Gianluca Tramontana, Dario Papale, Filippo Girard, Claudio Belli, Paolo Pietromarchi, Domenico Tiberi, Maria C. Comandini

Author Affiliations +

Proceedings Volume 7472, Remote Sensing for Agriculture, Ecosystems, and Hydrology XI; 74721A (2009) https://doi.org/10.1117/12.830450
Event: SPIE Remote Sensing, 2009, Berlin, Germany

Abstract

During 2008 an experimental study aimed to investigate the capabilities of a new Airborne Remote sensing platform as an aid in precision viticulture was conducted. The study was carried out on 2 areas located in the town of Velletri, near Rome; the acquisitions were conducted on 07-08-2008 and on 09-09-2008, using ASPIS (Advanced Spectroscopic Imager System) the new airborne multispectral sensor, capable to acquire 12 narrow spectral bands (10 nm) located in the visible and near-infrared region. Several vegetation indices, for a total of 22 independent variables, were tested for the estimation of different oenological parameters. Anova test showed that several oenochemical parameters, such as sugars and acidity, differ according to the variety taken into consideration. The remotely sensed data were significantly correlated with the following oenochemical parameters: Leaf Surface Exposed (SFE) (correlation coefficient R² ~ 0.8), wood pruning (R² ~ 0.8), reducing sugars (R2 ~ 0.6 and Root Mean Square Error ~ 5g/l), total acidity (R² ~ 0.6 and RMSE ~ 0.5 g/l), polyphenols (R²~ 0.9) and anthocyanins content (R² ~ 0.89) in order to provide "prescriptives" thematic maps related to the oenological variables of interest, the relationships previously carried out have been applied to the vegetation indices.

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Gianluca Tramontana, Dario Papale, Filippo Girard, Claudio Belli, Paolo Pietromarchi, Domenico Tiberi, and Maria C. Comandini "Airborne remote sensing in precision viticolture: assessment of quality and quantity vineyard production using multispectral imagery: a case study in Velletri, Rome surroundings (central Italy)", Proc. SPIE 7472, Remote Sensing for Agriculture, Ecosystems, and Hydrology XI, 74721A (18 September 2009); https://doi.org/10.1117/12.830450

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KEYWORDS

Remote sensing

Vegetation

Airborne remote sensing

Data acquisition

Sensors

Multispectral imaging

Visible radiation

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