Seasonal evolution of crop water stress index in grapevine varieties determined with high-resolution remote sensing thermal imagery

Bellvert, Joaquim; Marsal, J.; Girona, J.; Zarco‐Tejada, Pablo J.

doi:10.1007/s00271-014-0456-y

Cited by 123 publications

(101 citation statements)

References 29 publications

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“…Studies about the use of the CWSI as an indicator of water stress have indicated that plants in a good water condition show CWSI values under 0.5 and plants under water stress had CWSI values over 0.5 in olive orchards [37,38] and vineyards [26,39]. The CWSI was shown to be effective for detecting stress during the period of maximum atmospheric demand.…”

Section: Discussionmentioning

confidence: 99%

“…Some authors proposed that phenological stages could have affected the CWSI accuracy of water stress prediction. Möller et al [26] found that in vineyards at the end of the growing season, leaves were in a senescence condition and may not have been representative of complete canopy conditions, and Bellvert et al [39] found differences between varieties and the phenological stage in vineyards, as well as peach and nectarine orchards [41].…”

Section: Discussionmentioning

confidence: 99%

“…Under the no-water stress period, the CWSI did not show statistical differences for most combinations. These conditions were present at the beginning of the season, when plants are under non-water stress conditions, and at the end of season near to harvest, when plants were close to senescence conditions [26,39].…”

Section: Discussionmentioning

confidence: 99%

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Selecting Canopy Zones and Thresholding Approaches to Assess Grapevine Water Status by Using Aerial and Ground-Based Thermal Imaging

et al. 2016

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Aerial and terrestrial thermography has become a practical tool to determine water stress conditions in vineyards. However, for proper use of this technique it is necessary to consider vine architecture (canopy zone analysis) and image thresholding approaches (determination of the upper and lower baseline temperature values). During the 2014-2015 growing season, an experimental study under different water conditions (slight, mild, moderate, and severe water stress) was carried out in a commercial vineyard (Vitis vinifera L., cv. Carménè). In this study thermal images were obtained from different canopy zones by using both aerial (>60 m height) and ground-based (sunlit, shadow and nadir views) thermography. Using customized code that was written specifically for this research, three different thresholding approaches were applied to each image: (i) the standard deviation technique (SDT); (ii) the energy balance technique (EBT); and (iii) the field reference temperature technique (FRT). Results obtained from three different approaches showed that the EBT had the best performance. The EBT was able to discriminate over 95% of the leaf material, while SDT and FRT were able to detect around 70% and 40% of the leaf material, respectively. In the case of canopy zone analysis, ground-based nadir images presented the best correlations with stomatal conductance (g s ) and stem water potential (Ψ stem ), reaching determination coefficients (r 2 ) of 0.73 and 0.82, respectively. The best relationships between thermal indices and plant-based variables were registered during the period of maximum atmospheric demand (near veraison) with significant correlations for all methods.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Selecting Canopy Zones and Thresholding Approaches to Assess Grapevine Water Status by Using Aerial and Ground-Based Thermal Imaging

et al. 2016

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“…The ability to accurately classify crop varieties could potentially improve yield forecasting models and monitoring the indicators of crop conditions through better parameterization [175]. Knowledge of crop variety can also help to reduce negative impacts associated with disease spread, providing important information for certification and control.…”

Section: Crop Varietiesmentioning

confidence: 99%

Remote Sensing and Cropping Practices: A Review

et al. 2018

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For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this context, we reviewed the literature on remote sensing for mapping cropping practices. The reviewed studies were grouped into three categories of practices: crop succession (crop rotation and fallowing), cropping pattern (single tree crop planting pattern, sequential cropping, and intercropping/agroforestry), and cropping techniques (irrigation, soil tillage, harvest and post-harvest practices, crop varieties, and agro-ecological infrastructures). We observed that the majority of the studies were exploratory investigations, tested on a local scale with a high dependence on ground data, and used only one type of remote sensing sensor. Furthermore, to be correctly implemented, most of the methods relied heavily on local knowledge on the management practices, the environment, and the biological material. These limitations point to future research directions, such as the use of land stratification, multi-sensor data combination, and expert knowledge-driven methods. Finally, the new spatial technologies, and particularly the Sentinel constellation, are expected to improve the monitoring of cropping practices in the challenging context of food security and better management of agro-environmental issues.

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“…Bellvert et al determined the lower and upper baselines for calculating crop water stress index for the Chardonnay etc. at different phenological stages by high-resolution remote sensing thermal imagery [6]. The planar monitoring method is a promising method and its application is widening, but current researches seemed to overlook the spatial information while applying it.…”

Section: Introductionmentioning

confidence: 99%

Partitioning the Wheat Grains by the Uniformity of Protein Quality Based on Remote Sensing

Weixin¹,

Chen²,

Song³

et al. 2017

International Journal of Robotics and Automation

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Seasonal evolution of crop water stress index in grapevine varieties determined with high-resolution remote sensing thermal imagery

Cited by 123 publications

References 29 publications

Selecting Canopy Zones and Thresholding Approaches to Assess Grapevine Water Status by Using Aerial and Ground-Based Thermal Imaging

Selecting Canopy Zones and Thresholding Approaches to Assess Grapevine Water Status by Using Aerial and Ground-Based Thermal Imaging

Remote Sensing and Cropping Practices: A Review

Partitioning the Wheat Grains by the Uniformity of Protein Quality Based on Remote Sensing

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