Articles | Volume 18, issue 5
https://doi.org/10.5194/hess-18-1885-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-1885-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Upscaling of evapotranspiration fluxes from instantaneous to daytime scales for thermal remote sensing applications
C. Cammalleri
US Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA
now at: European Commission, Joint Research Centre, 21027 Ispra (VA), Italy
M. C. Anderson
US Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA
W. P. Kustas
US Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA
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77 citations as recorded by crossref.
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- Impact of clouds on the estimation of daily evapotranspiration from MODIS-derived instantaneous evapotranspiration using the constant global shortwave radiation ratio method Y. Jiang et al. 10.1080/01431161.2018.1482025
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- A decadal (2008–2017) daily evapotranspiration data set of 1 km spatial resolution and spatial completeness across the North China Plain using TSEB and data fusion C. Zhang et al. 10.1016/j.rse.2021.112519
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- Modelling actual evapotranspiration using a two source energy balance model with Sentinel imagery in herbaceous-free and herbaceous-cover Mediterranean olive orchards S. Aguirre-García et al. 10.1016/j.agrformet.2021.108692
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- Evaporation estimates using weather station data and boundary layer theory P. Gentine et al. 10.1002/2016GL070819
- Impact of the Revisit of Thermal Infrared Remote Sensing Observations on Evapotranspiration Uncertainty—A Sensitivity Study Using AmeriFlux Data P. Guillevic et al. 10.3390/rs11050573
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- Robust estimates of soil moisture and latent heat flux coupling strength obtained from triple collocation W. Crow et al. 10.1002/2015GL065929
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- Assessment of the clumped model to estimate olive orchard evapotranspiration using meteorological data and UAV-based thermal infrared imagery C. Riveros-Burgos et al. 10.1007/s00271-020-00716-w
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- Analysis and forecast of crop water demand in irrigation districts across the eastern part of the Ebro river basin (Catalonia, Spain): estimation of evapotranspiration through copernicus-based inputs J. Bellvert et al. 10.1007/s00271-024-00971-1
- Estimating annual water storage variations in medium-scale (2000–10 000 km<sup>2</sup>) basins using microwave-based soil moisture retrievals W. Crow et al. 10.5194/hess-21-1849-2017
- Modeling Evapotranspiration at Larger Temporal Scales: Effects of Temporal Aggregation and Data Gaps K. Athira et al. 10.3390/rs14174142
- A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops D. Gautam & V. Pagay 10.3390/agronomy10010140
- Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales M. Anderson et al. 10.1016/j.rse.2020.112189
- Upscaling evapotranspiration from the instantaneous to the daily time scale: Assessing six methods including an optimized coefficient based on worldwide eddy covariance flux network L. Jiang et al. 10.1016/j.jhydrol.2021.126135
- Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach K. Semmens et al. 10.1016/j.rse.2015.10.025
- A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales M. Anderson et al. 10.1016/j.agrformet.2024.109951
- Utility of an Automated Thermal-Based Approach for Monitoring Evapotranspiration W. Timmermans et al. 10.1515/acgeo-2015-0016
- Remote Sensing of Evapotranspiration over the Central Arizona Irrigation and Drainage District, USA A. French et al. 10.3390/agronomy8120278
- Redefining droughts for the U.S. Corn Belt: The dominant role of atmospheric vapor pressure deficit over soil moisture in regulating stomatal behavior of Maize and Soybean H. Kimm et al. 10.1016/j.agrformet.2020.107930
- Daily Actual Evapotranspiration Estimation in a Mediterranean Ecosystem from Landsat Observations Using SEBAL Approach H. Awada et al. 10.3390/f12020189
- Evapotranspiration Characteristics of Different Oases and Effects of Human Activities on Evapotranspiration in Heihe River Basin Y. Wang et al. 10.3390/rs14246283
- Temporal Upscaling and Reconstruction of Thermal Remotely Sensed Instantaneous Evapotranspiration T. Xu et al. 10.3390/rs70303400
- Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an artificial neural network approach L. Wandera et al. 10.5194/hess-21-197-2017
- Resolve the Clear‐Sky Continuous Diurnal Cycle of High‐Resolution ECOSTRESS Evapotranspiration and Land Surface Temperature J. Wen et al. 10.1029/2022WR032227
- Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley F. Chen et al. 10.1007/s00271-022-00789-9
- Understanding Drainage Dynamics and Irrigation Management in a Semi-Arid Mediterranean Basin V. Altés et al. 10.3390/w15010016
- A Hybrid Model Coupling Physical Constraints and Machine Learning to Estimate Daily Evapotranspiration in the Heihe River Basin X. Li et al. 10.3390/rs16122143
- Mapping evapotranspiration with high-resolution aircraft imagery over vineyards using one- and two-source modeling schemes T. Xia et al. 10.5194/hess-20-1523-2016
2 citations as recorded by crossref.
- Assessment of a Remote Sensing Energy Balance Methodology (SEBAL) Using Different Interpolation Methods to Determine Evapotranspiration in a Citrus Orchard M. Jimenez-Bello et al. 10.1109/JSTARS.2015.2418817
- Comparison of prognostic and diagnostic surface flux modeling approaches over the Nile River basin M. Yilmaz et al. 10.1002/2013WR014194
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