气候变化领域集成服务门户(CCPortal): Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru

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DOI	10.17268/sci.agropecu.2024.001
	Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru
	Ramos-Fernandez, Lia; Quispe-Tito, David; Altamirano-Gutierrez, Lisette; Cruz-Grimaldo, Camila; Quille-Mamani, Javier Alvaro; Carbonell-Rivera, Juan Pedro; Torralba, Jesus; Ruiz, Luis Angel
发表日期	2024
ISSN	2077-9917
EISSN	2306-6741
起始页码	15
结束页码	1
卷号	15 期号:1
英文摘要	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 m(2) of crop were monitored under continuous flood irrigation (CF) and 2600 m(2) 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.
英文关键词	Oryza sativa; alternating wetting and drying; water stress; energy balance; unmanned aerial vehicle; remote sensing
语种	英语
WOS研究方向	Agriculture
WOS类目	Agriculture, Dairy & Animal Science
WOS记录号	WOS:001206937800001
来源期刊	SCIENTIA AGROPECUARIA
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300961
作者单位	University Nacional Agraria La Molina; Universitat Politecnica de Valencia
推荐引用方式 GB/T 7714	Ramos-Fernandez, Lia,Quispe-Tito, David,Altamirano-Gutierrez, Lisette,et al. Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru[J],2024,15(1).
APA	Ramos-Fernandez, Lia.,Quispe-Tito, David.,Altamirano-Gutierrez, Lisette.,Cruz-Grimaldo, Camila.,Quille-Mamani, Javier Alvaro.,...&Ruiz, Luis Angel.(2024).Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru.SCIENTIA AGROPECUARIA,15(1).
MLA	Ramos-Fernandez, Lia,et al."Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru".SCIENTIA AGROPECUARIA 15.1(2024).