Articles | Volume 20, issue 2
https://doi.org/10.5194/hess-20-697-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-697-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Estimating evaporation with thermal UAV data and two-source energy balance models
H. Hoffmann
CORRESPONDING AUTHOR
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
H. Nieto
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
R. Jensen
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
R. Guzinski
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
now at: DHI GRAS, Agern Allé 5, 2970 Hørsholm, Denmark
P. Zarco-Tejada
Instituto de Agricultura Sostenible (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Campus Alameda del Obispo, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
T. Friborg
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
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107 citations as recorded by crossref.
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- Evapotranspiration partitioning by integrating eddy covariance, micro-lysimeter and unmanned aerial vehicle observations: A case study in the North China Plain J. Bian et al. 10.1016/j.agwat.2024.108735
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- Estimation and partitioning of actual daily evapotranspiration at an intensive olive grove using the STSEB model based on remote sensing M. Häusler et al. 10.1016/j.agwat.2018.01.027
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- Evaluating the feasibility of using Sentinel-2 and Sentinel-3 satellites for high-resolution evapotranspiration estimations R. Guzinski & H. Nieto 10.1016/j.rse.2018.11.019
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- Estimation of turbulent fluxes over almond orchards using high-resolution aerial imagery with one and two-source energy balance models S. Peddinti & I. Kisekka 10.1016/j.agwat.2022.107671
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- Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities P. Stoy et al. 10.5194/bg-16-3747-2019
- Inferring surface energy fluxes using drone data assimilation in large eddy simulations N. Pirk et al. 10.5194/amt-15-7293-2022
- Applications of UAV Thermal Imagery in Precision Agriculture: State of the Art and Future Research Outlook G. Messina & G. Modica 10.3390/rs12091491
- A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops D. Gautam & V. Pagay 10.3390/agronomy10010140
- Two source energy balance maize evapotranspiration estimates using close-canopy mobile infrared sensors and upscaling methods under variable water stress conditions A. Katimbo et al. 10.1016/j.agwat.2022.107972
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- Using infrared thermometry to improve irrigation scheduling on variable soils H. Brown et al. 10.1016/j.agrformet.2020.108033
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Latest update: 21 Nov 2024
Short summary
Thermal images collected with an unmanned aerial vehicle (UAV) are applied to algorithms originally developed to be operational with satellite images, in order to estimate evapotranspiration in very high resolution.
It is concluded that the thermal UAV data can be used for model input and for other potential applications requiring good quality, consistent, and high resolution land surface temperature.
Thermal images collected with an unmanned aerial vehicle (UAV) are applied to algorithms...