Articles | Volume 18, issue 3
https://doi.org/10.5194/bg-18-861-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-861-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation
Tropical Silviculture and Forest Ecology, University of Göttingen,
Büsgenweg 1, 37077 Göttingen, Germany
Christian Stiegler
Bioclimatology, University of Göttingen, Büsgenweg 2, 37077
Göttingen, Germany
Alexander Röll
Tropical Silviculture and Forest Ecology, University of Göttingen,
Büsgenweg 1, 37077 Göttingen, Germany
Tania June
Geophysics and Meteorology, Bogor Agricultural University, Jln.
Meranti, 16680 Bogor, Indonesia
Hendrayanto
Forest Management, Bogor Agricultural University, Kampus IPB
Darmaga, 16680 Bogor, Indonesia
Alexander Knohl
Bioclimatology, University of Göttingen, Büsgenweg 2, 37077
Göttingen, Germany
Centre of Biodiversity and Sustainable Land
Use, University of Göttingen, Platz der Göttinger Sieben 5, 37073 Göttingen, Germany
Dirk Hölscher
Tropical Silviculture and Forest Ecology, University of Göttingen,
Büsgenweg 1, 37077 Göttingen, Germany
Centre of Biodiversity and Sustainable Land
Use, University of Göttingen, Platz der Göttinger Sieben 5, 37073 Göttingen, Germany
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Cited
11 citations as recorded by crossref.
- Challenges in studying water fluxes within the soil-plant-atmosphere continuum: A tracer-based perspective on pathways to progress N. Orlowski et al. 10.1016/j.scitotenv.2023.163510
- Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. 10.1029/2021WR029925
- The dilemma of analytical method changes for soil organic carbon in long‐term experiments K. Grahmann et al. 10.1111/ejss.13362
- UAV-based thermography reveals spatial and temporal variability of evapotranspiration from a tropical rainforest M. Bulusu et al. 10.3389/ffgc.2023.1232410
- Changes in leaf area index by tropical forest transformation to plantations increase below-canopy surface temperatures . Pallavi et al. 10.1016/j.gecco.2024.e03001
- A Systematic Review of the UAV Technology Usage in ASEAN A. Gohari et al. 10.1109/OJVT.2024.3436065
- Combining UAV thermography, point cloud analysis and machine learning for assessing small‐scale evapotranspiration patterns in a tropical rainforest Á. Cortés‐Molino et al. 10.1002/eco.2604
- Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model T. Mikita et al. 10.17221/191/2022-JFS
- Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system L. Donfack et al. 10.1016/j.dib.2021.107615
- Microclimate and land surface temperature in a biodiversity enriched oil palm plantation L. Donfack et al. 10.1016/j.foreco.2021.119480
- Predicting Tree Sap Flux and Stomatal Conductance from Drone-Recorded Surface Temperatures in a Mixed Agroforestry System—A Machine Learning Approach F. Ellsäßer et al. 10.3390/rs12244070
8 citations as recorded by crossref.
- Challenges in studying water fluxes within the soil-plant-atmosphere continuum: A tracer-based perspective on pathways to progress N. Orlowski et al. 10.1016/j.scitotenv.2023.163510
- Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. 10.1029/2021WR029925
- The dilemma of analytical method changes for soil organic carbon in long‐term experiments K. Grahmann et al. 10.1111/ejss.13362
- UAV-based thermography reveals spatial and temporal variability of evapotranspiration from a tropical rainforest M. Bulusu et al. 10.3389/ffgc.2023.1232410
- Changes in leaf area index by tropical forest transformation to plantations increase below-canopy surface temperatures . Pallavi et al. 10.1016/j.gecco.2024.e03001
- A Systematic Review of the UAV Technology Usage in ASEAN A. Gohari et al. 10.1109/OJVT.2024.3436065
- Combining UAV thermography, point cloud analysis and machine learning for assessing small‐scale evapotranspiration patterns in a tropical rainforest Á. Cortés‐Molino et al. 10.1002/eco.2604
- Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model T. Mikita et al. 10.17221/191/2022-JFS
3 citations as recorded by crossref.
- Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system L. Donfack et al. 10.1016/j.dib.2021.107615
- Microclimate and land surface temperature in a biodiversity enriched oil palm plantation L. Donfack et al. 10.1016/j.foreco.2021.119480
- Predicting Tree Sap Flux and Stomatal Conductance from Drone-Recorded Surface Temperatures in a Mixed Agroforestry System—A Machine Learning Approach F. Ellsäßer et al. 10.3390/rs12244070
Latest update: 13 Oct 2024
Short summary
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.
Recording land surface temperatures using drones offers new options to predict...
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