Journal article

Automatic Coregistration Algorithm to Remove Canopy Shaded Pixels in UAV-Borne Thermal Images to Improve the Estimation of Crop Water Stress Index of a Drip-Irrigated Cabernet Sauvignon Vineyard

Tomas Poblete, Samuel Ortega-Farias, Dongryeol Ryu

SENSORS | MDPI | Published : 2018

Abstract

Water stress caused by water scarcity has a negative impact on the wine industry. Several strategies have been implemented for optimizing water application in vineyards. In this regard, midday stem water potential (SWP) and thermal infrared (TIR) imaging for crop water stress index (CWSI) have been used to assess plant water stress on a vine-by-vine basis without considering the spatial variability. Unmanned Aerial Vehicle (UAV)-borne TIR images are used to assess the canopy temperature variability within vineyards that can be related to the vine water status. Nevertheless, when aerial TIR images are captured over canopy, internal shadow canopy pixels cannot be detected, leading to mixed inf..

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Grants

Awarded by Chilean government through the project CONICYT-PFCHA


Awarded by Chilean government through the project FONDECYT


Awarded by Universidad de Talca through the research program Adaptation of Agriculture to Climate Change


Funding Acknowledgements

This study was supported by the Chilean government through the projects CONICYT-PFCHA (No. 2014-21140229) and FONDECYT (No. 1160997) and by the Universidad de Talca through the research program Adaptation of Agriculture to Climate Change (A2C2). Finally, the authors also express their gratitude to Luis Ahumada, Fernando Fuentes, and Camilo Riveros for their active collaboration on the data collection and field expertise during the flight campaigns.