Estimation of soil classes and their relationship to grapevine vigor in a Bordeaux vineyard: advancing the practical joint use of electromagnetic induction (EMI) and NDVI datasets for precision viticulture

Working within a vineyard in the Pessac Léognan Appellation of Bordeaux, France, this study documents the potential of using simple statistical methods with spatially-resolved and increasingly available electromagnetic induction (EMI) geophysical and normalized difference vegetation index (NDVI) dat...

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Bibliographic Details
Published in:Precision agriculture 2021-08, Vol.22 (4), p.1353-1376
Main Authors: Hubbard, Susan S., Schmutz, Myriam, Balde, Abdoulaye, Falco, Nicola, Peruzzo, Luca, Dafflon, Baptiste, Léger, Emmanuel, Wu, Yuxin
Format: Article
Language:English
Subjects:
Agriculture
Atmospheric Sciences
Biomedical and Life Sciences
Bordeaux
Chemistry and Earth Sciences
Computer Science
Datasets
Electrical conductivity
Electromagnetic induction
Electromagnetic Induction (EMI)
ENVIRONMENTAL SCIENCES
Geophysical methods
Geophysics
Grapevine vigor
Grapevines
Hyperspectral
Life Sciences
NDVI
Normalized difference vegetative index
Physics
Precision viticulture
Remote Sensing/Photogrammetry
Rooting
Soil properties
Soil Science & Conservation
Soil texture
Soil types
Soils
Spatial distribution
Statistical methods
Statistics for Engineering
Texture
Vigor
Vineyard soil
Vineyards
Viticulture
Wineries & vineyards
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Summary:Working within a vineyard in the Pessac Léognan Appellation of Bordeaux, France, this study documents the potential of using simple statistical methods with spatially-resolved and increasingly available electromagnetic induction (EMI) geophysical and normalized difference vegetation index (NDVI) datasets to accurately estimate Bordeaux vineyard soil classes and to quantitatively explore the relationship between vineyard soil types and grapevine vigor. First, co-located electrical tomographic tomography (ERT) and EMI datasets were compared to gain confidence about how the EMI method averaged soil properties over the grapevine rooting depth. Then, EMI data were used with core soil texture and soil-pit based interpretations of Bordeaux soil types (Brunisol, Redoxisol, Colluviosol and Calcosol) to estimate the spatial distribution of geophysically-identified Bordeaux soil classes. A strong relationship (r = 0.75, p 
ISSN:1385-2256
1573-1618
DOI:10.1007/s11119-021-09788-w