Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru

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In view of the growing scarcity of water for agriculture, the increase in food demand and future drought scenarios posed by climate change, it is essential to design new technologies that contribute to lower water consumption. In this research, high-resolution images have been used to estimate evapo...

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Autores: Ramos-Fernandez, Lia, Quispe-Tito, David, Altamirano-Gutiérrez, Lisette, Cruz-Grimaldo, Camila, Quille-Mamani, Javier Alvaro, Carbonell-Rivera, Juan Pedro, Torralba, Jesus, Ruiz, Luis Ángel
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Nacional de Trujillo
Repositorio:Revistas - Universidad Nacional de Trujillo
Lenguaje:español
OAI Identifier:oai:ojs.revistas.unitru.edu.pe:article/5248
Enlace del recurso:https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5248
Nivel de acceso:acceso abierto
Materia:Oryza sativa
alternating wetting and drying
water stress
energy balance
unmanned aerial vehicle
remote sensing
alternancia humedecimiento y secado
estrés hídrico
balance de energía
vehículo aéreo no tripulado
teledetección
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network_acronym_str REVUNITRU
network_name_str Revistas - Universidad Nacional de Trujillo
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dc.title.none.fl_str_mv Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru
Estimación de la evapotranspiración a partir de imágenes de alta resolución de VANT para sistemas de riego en arrozales de la costa norte de Perú
title Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru
spellingShingle Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru
Ramos-Fernandez, Lia
Oryza sativa
alternating wetting and drying
water stress
energy balance
unmanned aerial vehicle
remote sensing
Oryza sativa
alternancia humedecimiento y secado
estrés hídrico
balance de energía
vehículo aéreo no tripulado
teledetección
title_short Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru
title_full Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru
title_fullStr Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru
title_full_unstemmed Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru
title_sort Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru
dc.creator.none.fl_str_mv Ramos-Fernandez, Lia
Quispe-Tito, David
Altamirano-Gutiérrez, Lisette
Cruz-Grimaldo, Camila
Quille-Mamani, Javier Alvaro
Carbonell-Rivera, Juan Pedro
Torralba, Jesus
Ruiz, Luis Ángel
author Ramos-Fernandez, Lia
author_facet Ramos-Fernandez, Lia
Quispe-Tito, David
Altamirano-Gutiérrez, Lisette
Cruz-Grimaldo, Camila
Quille-Mamani, Javier Alvaro
Carbonell-Rivera, Juan Pedro
Torralba, Jesus
Ruiz, Luis Ángel
author_role author
author2 Quispe-Tito, David
Altamirano-Gutiérrez, Lisette
Cruz-Grimaldo, Camila
Quille-Mamani, Javier Alvaro
Carbonell-Rivera, Juan Pedro
Torralba, Jesus
Ruiz, Luis Ángel
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Oryza sativa
alternating wetting and drying
water stress
energy balance
unmanned aerial vehicle
remote sensing
Oryza sativa
alternancia humedecimiento y secado
estrés hídrico
balance de energía
vehículo aéreo no tripulado
teledetección
topic Oryza sativa
alternating wetting and drying
water stress
energy balance
unmanned aerial vehicle
remote sensing
Oryza sativa
alternancia humedecimiento y secado
estrés hídrico
balance de energía
vehículo aéreo no tripulado
teledetección
description In view of the growing scarcity of water for agriculture, the increase in food demand and future drought scenarios posed by climate change, it is essential to design new technologies that contribute to lower water consumption. In this research, high-resolution images have been used to estimate evapotranspiration in rice fields by applying the METRICTM (Mapping Evapotranspiration at High Resolution using Internalized Calibration) energy balance model. For this purpose, 5900 m2 of crop were monitored under continuous flood irrigation (CF) and 2600 m2 under alternate wetting and drying irrigation (AWD), in addition to some plots with lateral filtration. Ten flights were conducted between tillering and flowering phases, five flights with a Matrice 210 UAV equipped with a Parrot Sequoia multispectral camera, and five flights with a Matrice 300 RTK equipped with a H20T thermal camera. Field data were collected from vegetation indices (NDVI and LAI), and readings from a radiometer, to adjust information from multispectral and thermal images, respectively, and to obtain the components of the surface energy balance. Mean values for crop evapotranspiration (ETc) of 6.34 ± 1.49 and 5.84 ± 0.41 mm d-1 were obtained for IC irrigation and AWD irrigation, respectively, obtaining a water saving of 42% with a yield reduction of 14%, providing a guide for proper irrigation management, however, it is suggested to use the model to optimize yield by obtaining critical thresholds for optimal application of AWD in the face of water resource scarcity. Keywords: Rice fields, AWD; Evapotranspiration; METRIC; UAV.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5248
url https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5248
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5248/6460
https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5248/5859
dc.rights.none.fl_str_mv Derechos de autor 2024 Scientia Agropecuaria
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2024 Scientia Agropecuaria
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de Trujillo
publisher.none.fl_str_mv Universidad Nacional de Trujillo
dc.source.none.fl_str_mv Scientia Agropecuaria; Vol. 15 Núm. 1 (2024): Enero-Marzo; 7-21
Scientia Agropecuaria; Vol. 15 No. 1 (2024): Enero-Marzo; 7-21
2306-6741
2077-9917
reponame:Revistas - Universidad Nacional de Trujillo
instname:Universidad Nacional de Trujillo
instacron:UNITRU
instname_str Universidad Nacional de Trujillo
instacron_str UNITRU
institution UNITRU
reponame_str Revistas - Universidad Nacional de Trujillo
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repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of PeruEstimación de la evapotranspiración a partir de imágenes de alta resolución de VANT para sistemas de riego en arrozales de la costa norte de PerúRamos-Fernandez, LiaQuispe-Tito, DavidAltamirano-Gutiérrez, LisetteCruz-Grimaldo, CamilaQuille-Mamani, Javier AlvaroCarbonell-Rivera, Juan PedroTorralba, JesusRuiz, Luis ÁngelOryza sativaalternating wetting and dryingwater stressenergy balanceunmanned aerial vehicleremote sensingOryza sativaalternancia humedecimiento y secadoestrés hídricobalance de energíavehículo aéreo no tripuladoteledetecciónIn view of the growing scarcity of water for agriculture, the increase in food demand and future drought scenarios posed by climate change, it is essential to design new technologies that contribute to lower water consumption. In this research, high-resolution images have been used to estimate evapotranspiration in rice fields by applying the METRICTM (Mapping Evapotranspiration at High Resolution using Internalized Calibration) energy balance model. For this purpose, 5900 m2 of crop were monitored under continuous flood irrigation (CF) and 2600 m2 under alternate wetting and drying irrigation (AWD), in addition to some plots with lateral filtration. Ten flights were conducted between tillering and flowering phases, five flights with a Matrice 210 UAV equipped with a Parrot Sequoia multispectral camera, and five flights with a Matrice 300 RTK equipped with a H20T thermal camera. Field data were collected from vegetation indices (NDVI and LAI), and readings from a radiometer, to adjust information from multispectral and thermal images, respectively, and to obtain the components of the surface energy balance. Mean values for crop evapotranspiration (ETc) of 6.34 ± 1.49 and 5.84 ± 0.41 mm d-1 were obtained for IC irrigation and AWD irrigation, respectively, obtaining a water saving of 42% with a yield reduction of 14%, providing a guide for proper irrigation management, however, it is suggested to use the model to optimize yield by obtaining critical thresholds for optimal application of AWD in the face of water resource scarcity. Keywords: Rice fields, AWD; Evapotranspiration; METRIC; UAV.Ante la creciente escasez del agua para la agricultura, el incremento de la demanda de alimentos y los futuros escenarios de sequía que nos plantea el cambio climático es indispensable diseñar nuevas tecnologías que contribuyan a un menor consumo de agua. En esta investigación se han empleado imágenes de alta resolución para estimar la evapotranspiración en arrozales aplicando el modelo de balance de energía METRICTM (Mapping Evapotranspiration at High Resolution using Internalized Calibration). Para ello, se monitorizaron 5900 m2 de cultivo bajo riego por inundación continua (IC) y 2600 m2 bajo la técnica de riego de alternancia humedecimiento y secado (AWD, por sus siglas en inglés), además de algunas parcelas con filtración lateral. Se realizaron 10 vuelos entre las etapas de macollamiento y floración, cinco vuelos con un VANT Matrice 210 con una cámara multiespectral Parrot Sequoia, y cinco vuelos con un Matrice 300 RTK equipado con una cámara térmica H20T. Se colectó información de campo de los índices de vegetación (NDVI e IAF), y lecturas de un radiómetro, para ajustar información de las imágenes multiespectrales y térmicas, respectivamente; y obtener los componentes del balance de energía en superficie. Se obtuvo valores medios para evapotranspiración del cultivo (ETc) de 6,34 ±1,49 y 5,84 ± 0,41 mm d-1 para riego IC y riego AWD, respectivamente, obteniéndose un ahorro de agua del 42% con una reducción del rendimiento en 14%, proporcionando una guía para la gestión adecuada del riego, sin embargo, se sugiere utilizar el modelo para optimizar el rendimiento obteniendo umbrales críticos para la aplicación óptima de AWD frente a la escasez del recurso hídrico.Universidad Nacional de Trujillo2024-02-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfhttps://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5248Scientia Agropecuaria; Vol. 15 Núm. 1 (2024): Enero-Marzo; 7-21Scientia Agropecuaria; Vol. 15 No. 1 (2024): Enero-Marzo; 7-212306-67412077-9917reponame:Revistas - Universidad Nacional de Trujilloinstname:Universidad Nacional de Trujilloinstacron:UNITRUspahttps://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5248/6460https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5248/5859Derechos de autor 2024 Scientia Agropecuariahttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessoai:ojs.revistas.unitru.edu.pe:article/52482024-02-05T18:18:58Z
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