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

    GRID grid.5608.b

  2. 2 Estación Experimental de Aula Dei
    info

    Estación Experimental de Aula Dei

    Zaragoza, España

    GRID grid.466637.6

  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

    GRID grid.481584.4

Journal:
Irrigation Science

ISSN: 0342-7188

Year of publication: 2012

Volume: 30

Issue: 6

Pages: 511-522

Type: Article

Export: RIS
DOI: 10.1007/s00271-012-0382-9 SCOPUS: 2-s2.0-84867875843 WoS: 000310229200005 GOOGLE SCHOLAR

Metrics

Cited by

  • Scopus Cited by: 231 (14-07-2021)

Journal Citation Reports

  • Year 2012
  • Journal Impact Factor: 2.289
  • Best Quartile: Q1
  • Area: AGRONOMY Quartile: Q1 Rank in area: 15/78 (Ranking edition: SCIE)
  • Area: WATER RESOURCES Quartile: Q1 Rank in area: 12/80 (Ranking edition: SCIE)

SCImago Journal Rank

  • Year 2012
  • SJR Journal Impact: 1.336
  • Best Quartile: Q1
  • Area: Agronomy and Crop Science Quartile: Q1 Rank in area: 19/342
  • Area: Soil Science Quartile: Q1 Rank in area: 17/124
  • Area: Water Science and Technology Quartile: Q1 Rank in area: 18/258

CiteScore

  • Year 2012
  • CiteScore of the Journal : 4.2
  • Area: Agronomy and Crop Science Percentile: 91
  • Area: Water Science and Technology Percentile: 89
  • Area: Soil Science Percentile: 86

Related Projects

Abstract

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.