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23d. Evaluating remotely-sensed grapevine (Vitis viniferaL.) water stress responses across a viticultural region

Evaluating remotely-sensed grapevine (Vitis viniferaL.) water stress responses across a
viticultural region [Article]

Vinay Pagay 1,* and Catherine M. Kidman 2

1 School of Agriculture, Food andWine, The University of Adelaide, PMB 1, Glen Osmond, SA 5064, Australia
2 Wynns Coonawarra Estate, Memorial Drive, Coonawarra, SA 5263, Australia;
catherine.kidman@tweglobal.com
* Correspondence: vinay.pagay@adelaide.edu.au; Tel.: +61-8-83130773
Received: 20 September 2019; Accepted: 23 October 2019; Published: 25 October 2019

Agronomy v. 9 n. (11): 782 p. 1 – 17 2019

Abstract: The evolving spatial and temporal knowledge about vineyard performance through the
use of remote sensing o ers new perspectives for vine water status studies. This paper describes the
application of aerial thermal imaging to evaluate vine water status to improve irrigation scheduling
decisions, water use eciency, and overall winegrape quality in the Coonawarra viticultural region of
South Australia. Airborne infrared images were acquired during the 2016 and 2017 growing seasons
in the region of Coonawarra, South Australia. Several thermal indices of crop water status (CWSI,
Ig, (Tc-Ta)) were calculated that correlated with conventional soil and vine water status measures
(Ypd, Ys, gs). CWSI and Ig could discriminate between the two cultivars used in this study, Cabernet
Sauvignon (CAS) and Shiraz (SHI), as did the conventional water stress measures. The relationship
between conventional vine water status measures appeared stronger with CWSI in the warmer and
drier season (2016) compared to the cooler and wetter season (2017), where Ig and (Tc-Ta) showed
stronger correlations. The study identified CWSI, Ig and (Tc-Ta) to be reliable indicators of vine water
status under a variety of environmental conditions. This is the first study to report on high resolution
vine water status at a regional scale in Australia using a combination of remote and direct sensing
methods. This methodology is promising for aerial surveillance of vine water status across multiple
blocks and cultivars to inform irrigation scheduling.