Articles | Volume 18, issue 3
https://doi.org/10.5194/bg-18-861-2021
https://doi.org/10.5194/bg-18-861-2021
Research article
 | 
05 Feb 2021
Research article |  | 05 Feb 2021

Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation

Florian Ellsäßer, Christian Stiegler, Alexander Röll, Tania June, Hendrayanto, Alexander Knohl, and Dirk Hölscher

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Cited articles

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Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M.: A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation, J. Hydrol., 212/213, 198–212, https://doi.org/10.1016/S0022-1694(98)00253-4, 1998. 
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Recording land surface temperatures using drones offers new options to predict evapotranspiration based on energy balance models. This study compares predictions from three energy balance models with the eddy covariance method. A model II Deming regression indicates interchangeability for latent heat flux estimates from certain modeling methods and eddy covariance measurements. This complements the available methods for evapotranspiration studies by fine grain and spatially explicit assessments.
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