Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation
<p>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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2021-02-01
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| Series: | Biogeosciences |
| Online Access: | https://bg.copernicus.org/articles/18/861/2021/bg-18-861-2021.pdf |
| _version_ | 1819275147286151168 |
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| author | F. Ellsäßer C. Stiegler A. Röll T. June Hendrayanto A. Knohl A. Knohl D. Hölscher D. Hölscher |
| author_facet | F. Ellsäßer C. Stiegler A. Röll T. June Hendrayanto A. Knohl A. Knohl D. Hölscher D. Hölscher |
| author_sort | F. Ellsäßer |
| collection | DOAJ |
| description | <p>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 (<span class="inline-formula"><i>r</i><sup>2</sup></span> <span class="inline-formula">=</span> 0.85; MAE <span class="inline-formula">=</span> 47; RMSE <span class="inline-formula">=</span> 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.</p> |
| first_indexed | 2024-12-23T23:19:42Z |
| format | Article |
| id | doaj.art-ffc78e5420484fc994bac26fee50abab |
| institution | Directory Open Access Journal |
| issn | 1726-4170 1726-4189 |
| language | English |
| last_indexed | 2024-12-23T23:19:42Z |
| publishDate | 2021-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Biogeosciences |
| spelling | doaj.art-ffc78e5420484fc994bac26fee50abab2022-12-21T17:26:22ZengCopernicus PublicationsBiogeosciences1726-41701726-41892021-02-011886187210.5194/bg-18-861-2021Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantationF. Ellsäßer0C. Stiegler1A. Röll2T. June3Hendrayanto4A. Knohl5A. Knohl6D. Hölscher7D. Hölscher8Tropical Silviculture and Forest Ecology, University of Göttingen, Büsgenweg 1, 37077 Göttingen, GermanyBioclimatology, University of Göttingen, Büsgenweg 2, 37077 Göttingen, GermanyTropical Silviculture and Forest Ecology, University of Göttingen, Büsgenweg 1, 37077 Göttingen, GermanyGeophysics and Meteorology, Bogor Agricultural University, Jln. Meranti, 16680 Bogor, IndonesiaForest Management, Bogor Agricultural University, Kampus IPB Darmaga, 16680 Bogor, IndonesiaBioclimatology, University of Göttingen, Büsgenweg 2, 37077 Göttingen, GermanyCentre of Biodiversity and Sustainable Land Use, University of Göttingen, Platz der Göttinger Sieben 5, 37073 Göttingen, GermanyTropical Silviculture and Forest Ecology, University of Göttingen, Büsgenweg 1, 37077 Göttingen, GermanyCentre of Biodiversity and Sustainable Land Use, University of Göttingen, Platz der Göttinger Sieben 5, 37073 Göttingen, Germany<p>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 (<span class="inline-formula"><i>r</i><sup>2</sup></span> <span class="inline-formula">=</span> 0.85; MAE <span class="inline-formula">=</span> 47; RMSE <span class="inline-formula">=</span> 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.</p>https://bg.copernicus.org/articles/18/861/2021/bg-18-861-2021.pdf |
| spellingShingle | F. Ellsäßer C. Stiegler A. Röll T. June Hendrayanto A. Knohl A. Knohl D. Hölscher D. Hölscher Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation Biogeosciences |
| title | Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation |
| title_full | Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation |
| title_fullStr | Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation |
| title_full_unstemmed | Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation |
| title_short | Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation |
| title_sort | predicting evapotranspiration from drone based thermography a method comparison in a tropical oil palm plantation |
| url | https://bg.copernicus.org/articles/18/861/2021/bg-18-861-2021.pdf |
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