Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)

  1. Baluja, J. 4
  2. Diago, M.P. 4
  3. Balda, P. 4
  4. Zorer, R. 3
  5. Meggio, F. 1
  6. Morales, F. 2
  7. Tardaguila, J. 4
  1. 1 University of Padua
    info

    University of Padua

    Padua, Italia

    ROR https://ror.org/00240q980

  2. 2 Estación Experimental de Aula Dei
    info

    Estación Experimental de Aula Dei

    Zaragoza, España

    ROR https://ror.org/056a37x91

  3. 3 GIS and Remote Sensing Unit, Biodiversity and Molecular Ecology Department-DBEM, IASMA Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010 San Michele all'Adige, TN, Italy
  4. 4 Instituto de Ciencias de la Vid y del Vino
    info

    Instituto de Ciencias de la Vid y del Vino

    Logroño, España

    ROR https://ror.org/01rm2sw78

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Revista:
Irrigation Science

ISSN: 0342-7188

Año de publicación: 2012

Volumen: 30

Número: 6

Páginas: 511-522

Tipo: Artículo

DOI: 10.1007/S00271-012-0382-9 SCOPUS: 2-s2.0-84867875843 WoS: WOS:000310229200005 GOOGLE SCHOLAR

Otras publicaciones en: Irrigation Science

Proyectos relacionados

TELEVITIS ADER 2008-I-ID-00132

2009/00194/001

Resumen

The goal of this study was to assess the water status variability of a commercial rain-fed Tempranillo vineyard (Vitis vinifera L.) by thermal and multispectral imagery using an unmanned aerial vehicle (UAV). The relationships between aerial temperatures or indices derived from the imagery and leaf stomatal conductance (g s) and stem water potential (Ψ stem) were determined. Aerial temperature was significantly correlated with g s (R 2 = 0.68, p <0.01) and Ψ stem (R 2 = 0.50, p < 0.05). Furthermore, the thermal indices derived from aerial imagery were also strongly correlated with Ψ stem and g s. Moreover, different spectral indices were related to vineyard water status, although NDVI (normalized difference vegetation index) and TCARI/OSAVI (ratio between transformed chlorophyll absorption in reflectance and optimized soil-adjusted vegetation index) showed the highest coefficient of determination with Ψ stem (R 2 = 0.68, p < 0.05) and g s (R 2 = 0.84, p < 0.05), respectively. While the relationship with thermal imagery and water status parameters could be considered as a short-term response, NDVI and TCARI/OSAVI indices were probably reflecting the result of cumulative water deficits, hence a long-term response. In conclusion, thermal and multispectral imagery using an UAV allowed assessing and mapping spatial variability of water status within the vineyard. © 2012 Springer-Verlag.