Articles | Volume 24, issue 7
https://doi.org/10.5194/hess-24-3643-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-3643-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Jul 2020
Research article |
| 22 Jul 2020
| 22 Jul 2020
Temporal interpolation of land surface fluxes derived from remote sensing – results with an unmanned aerial system
Department of Environmental Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Department of Environmental Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Andreas Ibrom
Department of Environmental Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Peter Bauer-Gottwein
Department of Environmental Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
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Cited
15 citations as recorded by crossref.
- The Importance of Spatial Variability in Estimating Evapotranspiration From a Subalpine Wetland S. Chau et al. https://doi.org/10.1002/hyp.70451
- Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms T. Tanaka et al. https://doi.org/10.3390/drones8060212
- Robust County-Level Corn Yield Estimation Using Ensemble Machine Learning and Multisource Remote Sensing A. Vafaeinejad et al. https://doi.org/10.1109/JSTARS.2025.3585779
- Independent estimates of net carbon uptake in croplands: UAV-LiDAR and machine learning vs. eddy covariance J. Revenga et al. https://doi.org/10.1016/j.agrformet.2024.110106
- Diurnal and Seasonal Mapping of Water Deficit Index and Evapotranspiration by an Unmanned Aerial System: A Case Study for Winter Wheat in Denmark V. Antoniuk et al. https://doi.org/10.3390/rs13152998
- Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. https://doi.org/10.1029/2021WR029925
- Integrating urban air mobility, unmanned aerial systems, and eVTOL in the low-altitude economy: Bibliometric analysis of research hotspots and development trends H. Cui et al. https://doi.org/10.1016/j.jtte.2025.07.007
- Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring U. Ahmad et al. https://doi.org/10.3390/agronomy12030555
- Understanding spatio-temporal complexity of vegetation using drones, what could we improve? J. Müllerová et al. https://doi.org/10.1016/j.jenvman.2024.123656
- Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting Ö. Baydaroğlu & I. Demir https://doi.org/10.2166/hydro.2024.235
- An Inverse Modeling Approach for Retrieving High-Resolution Surface Fluxes of Greenhouse Gases from Measurements of Their Concentrations in the Atmospheric Boundary Layer I. Mukhartova et al. https://doi.org/10.3390/rs16132502
- Integrating Remotely Sensed Thermal Observations for Calibration of Process-Based Land-Surface Models: Accuracy, Revisit Windows, and Implications in a Dryland Ecosystem A. Riba et al. https://doi.org/10.3390/rs17213630
- Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems W. Zhou et al. https://doi.org/10.1016/j.agrformet.2021.108521
- Estimating Fine‐Scale Transpiration From UAV‐Derived Thermal Imagery and Atmospheric Profiles B. Morgan & K. Caylor https://doi.org/10.1029/2023WR035251
- Biophysical constraints on evapotranspiration partitioning for a conductance-based two source energy balance model J. Bu et al. https://doi.org/10.1016/j.jhydrol.2021.127179
15 citations as recorded by crossref.
- The Importance of Spatial Variability in Estimating Evapotranspiration From a Subalpine Wetland S. Chau et al. https://doi.org/10.1002/hyp.70451
- Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms T. Tanaka et al. https://doi.org/10.3390/drones8060212
- Robust County-Level Corn Yield Estimation Using Ensemble Machine Learning and Multisource Remote Sensing A. Vafaeinejad et al. https://doi.org/10.1109/JSTARS.2025.3585779
- Independent estimates of net carbon uptake in croplands: UAV-LiDAR and machine learning vs. eddy covariance J. Revenga et al. https://doi.org/10.1016/j.agrformet.2024.110106
- Diurnal and Seasonal Mapping of Water Deficit Index and Evapotranspiration by an Unmanned Aerial System: A Case Study for Winter Wheat in Denmark V. Antoniuk et al. https://doi.org/10.3390/rs13152998
- Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. https://doi.org/10.1029/2021WR029925
- Integrating urban air mobility, unmanned aerial systems, and eVTOL in the low-altitude economy: Bibliometric analysis of research hotspots and development trends H. Cui et al. https://doi.org/10.1016/j.jtte.2025.07.007
- Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring U. Ahmad et al. https://doi.org/10.3390/agronomy12030555
- Understanding spatio-temporal complexity of vegetation using drones, what could we improve? J. Müllerová et al. https://doi.org/10.1016/j.jenvman.2024.123656
- Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting Ö. Baydaroğlu & I. Demir https://doi.org/10.2166/hydro.2024.235
- An Inverse Modeling Approach for Retrieving High-Resolution Surface Fluxes of Greenhouse Gases from Measurements of Their Concentrations in the Atmospheric Boundary Layer I. Mukhartova et al. https://doi.org/10.3390/rs16132502
- Integrating Remotely Sensed Thermal Observations for Calibration of Process-Based Land-Surface Models: Accuracy, Revisit Windows, and Implications in a Dryland Ecosystem A. Riba et al. https://doi.org/10.3390/rs17213630
- Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems W. Zhou et al. https://doi.org/10.1016/j.agrformet.2021.108521
- Estimating Fine‐Scale Transpiration From UAV‐Derived Thermal Imagery and Atmospheric Profiles B. Morgan & K. Caylor https://doi.org/10.1029/2023WR035251
- Biophysical constraints on evapotranspiration partitioning for a conductance-based two source energy balance model J. Bu et al. https://doi.org/10.1016/j.jhydrol.2021.127179
Saved (final revised paper)
Latest update: 13 Oct 2026
Short summary
Remote sensing only provides snapshots of rapidly changing land surface variables; this limits its application for water resources and ecosystem management. To obtain continuous estimates of surface temperature, soil moisture, evapotranspiration, and ecosystem productivity, a simple and operational modelling scheme is presented. We demonstrate it with temporally sparse optical and thermal remote sensing data from an unmanned aerial system at a Danish bioenergy plantation eddy covariance site.
Remote sensing only provides snapshots of rapidly changing land surface variables; this limits...
