Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation
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Published:2021-02-05
Issue:3
Volume:18
Page:861-872
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ISSN:1726-4189
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Container-title:Biogeosciences
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language:en
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Short-container-title:Biogeosciences
Author:
Ellsäßer Florian, Stiegler ChristianORCID, Röll AlexanderORCID, June Tania, Knohl AlexanderORCID, Hölscher Dirk,
Abstract
Abstract. For the assessment of evapotranspiration, near-surface airborne thermography
offers new opportunities for studies with high numbers of spatial replicates
and in a fine spatial resolution. We tested drone-based thermography and the
subsequent application of the DATTUTDUT energy balance model using the widely accepted eddy covariance technique as a reference
method. The study site was a mature oil palm plantation in lowland Sumatra,
Indonesia. For the 61 flight missions, latent heat flux estimates of the
DATTUTDUT (Deriving Atmosphere Turbulent Transport Useful To Dummies Using
Temperature) model with measured net radiation agreed well with eddy covariance
measurements (r2 = 0.85; MAE = 47; RMSE = 60) across
variable weather conditions and times of day. Confidence intervals for slope and
intercept of a model II Deming regression suggest no difference between
drone-based and eddy covariance methods, thus indicating interchangeability.
The DATTUTDUT model is sensitive to the configuration of the net radiation assessment. Overall, we
conclude that drone-based thermography with energy balance modeling is a
reliable method complementing available methods for evapotranspiration
studies. It offers promising, additional opportunities for fine grain and
spatially explicit studies.
Funder
Deutsche Forschungsgemeinschaft
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Ecology, Evolution, Behavior and Systematics
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