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Using Aerial Thermal Imagery to Evaluate Water Status in Vitis vinifera cv. Loureiro

The crop water stress index (CWSI) is a widely used analytical tool based on portable thermography. This method can be useful in replacing the traditional stem water potential method obtained with a Scholander chamber (PMS Model 600) because the latter is not feasible for large-scale studies due to...

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Autores principales: Araújo-Paredes, Cláudio, Portela, Fernando, Mendes, Susana, Valín, M. Isabel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611973/
https://www.ncbi.nlm.nih.gov/pubmed/36298406
http://dx.doi.org/10.3390/s22208056
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author Araújo-Paredes, Cláudio
Portela, Fernando
Mendes, Susana
Valín, M. Isabel
author_facet Araújo-Paredes, Cláudio
Portela, Fernando
Mendes, Susana
Valín, M. Isabel
author_sort Araújo-Paredes, Cláudio
collection PubMed
description The crop water stress index (CWSI) is a widely used analytical tool based on portable thermography. This method can be useful in replacing the traditional stem water potential method obtained with a Scholander chamber (PMS Model 600) because the latter is not feasible for large-scale studies due to the time involved and the fact that it is invasive and can cause damage to the plant. The present work had three objectives: (i) to understand if CWSI estimated using an aerial sensor can estimate the water status of the plant; (ii) to compare CWSI from aerial-thermographic and portable thermal cameras with stem water potential; (iii) to estimate the capacity of an unmanned aerial vehicle (UAV) to calculate and spatialize CWSI. Monitoring of CWSI (CWSI(P)) using a portable device was performed directly in the canopy, by measuring reference temperatures (T(dry), T(wet,) and canopy temperature (T(c))). Aerial CWSI calculation was performed using two models: (i) a simplified CWSI model (CWSI(S)), where the T(dry) and T(wet) were estimated as the average of 1% of the extreme temperature, and (ii) an air temperature model (CWSI(Tair)) where air temperatures (T(air) + 7 °C) were recorded as T(dry) and in the T(wet), considering the average of the lowest 33% of histogram values. In these two models, the T(c) value corresponded to the temperature value in each pixel of the aerial thermal image. The results show that it was possible to estimate CWSI by calculating canopy temperatures and spatializing CWSI using aerial thermography. Of the two models, it was found that for CWSI(Tair), CWSI(S) (R(2) = 0.55) evaluated crop water stress better than stem water potential. The CWSI(S) had good correlation compared with the portable sensor (R(2) = 0.58), and its application in field measurements is possible.
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spelling pubmed-96119732022-10-28 Using Aerial Thermal Imagery to Evaluate Water Status in Vitis vinifera cv. Loureiro Araújo-Paredes, Cláudio Portela, Fernando Mendes, Susana Valín, M. Isabel Sensors (Basel) Article The crop water stress index (CWSI) is a widely used analytical tool based on portable thermography. This method can be useful in replacing the traditional stem water potential method obtained with a Scholander chamber (PMS Model 600) because the latter is not feasible for large-scale studies due to the time involved and the fact that it is invasive and can cause damage to the plant. The present work had three objectives: (i) to understand if CWSI estimated using an aerial sensor can estimate the water status of the plant; (ii) to compare CWSI from aerial-thermographic and portable thermal cameras with stem water potential; (iii) to estimate the capacity of an unmanned aerial vehicle (UAV) to calculate and spatialize CWSI. Monitoring of CWSI (CWSI(P)) using a portable device was performed directly in the canopy, by measuring reference temperatures (T(dry), T(wet,) and canopy temperature (T(c))). Aerial CWSI calculation was performed using two models: (i) a simplified CWSI model (CWSI(S)), where the T(dry) and T(wet) were estimated as the average of 1% of the extreme temperature, and (ii) an air temperature model (CWSI(Tair)) where air temperatures (T(air) + 7 °C) were recorded as T(dry) and in the T(wet), considering the average of the lowest 33% of histogram values. In these two models, the T(c) value corresponded to the temperature value in each pixel of the aerial thermal image. The results show that it was possible to estimate CWSI by calculating canopy temperatures and spatializing CWSI using aerial thermography. Of the two models, it was found that for CWSI(Tair), CWSI(S) (R(2) = 0.55) evaluated crop water stress better than stem water potential. The CWSI(S) had good correlation compared with the portable sensor (R(2) = 0.58), and its application in field measurements is possible. MDPI 2022-10-21 /pmc/articles/PMC9611973/ /pubmed/36298406 http://dx.doi.org/10.3390/s22208056 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Araújo-Paredes, Cláudio
Portela, Fernando
Mendes, Susana
Valín, M. Isabel
Using Aerial Thermal Imagery to Evaluate Water Status in Vitis vinifera cv. Loureiro
title Using Aerial Thermal Imagery to Evaluate Water Status in Vitis vinifera cv. Loureiro
title_full Using Aerial Thermal Imagery to Evaluate Water Status in Vitis vinifera cv. Loureiro
title_fullStr Using Aerial Thermal Imagery to Evaluate Water Status in Vitis vinifera cv. Loureiro
title_full_unstemmed Using Aerial Thermal Imagery to Evaluate Water Status in Vitis vinifera cv. Loureiro
title_short Using Aerial Thermal Imagery to Evaluate Water Status in Vitis vinifera cv. Loureiro
title_sort using aerial thermal imagery to evaluate water status in vitis vinifera cv. loureiro
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611973/
https://www.ncbi.nlm.nih.gov/pubmed/36298406
http://dx.doi.org/10.3390/s22208056
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