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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70 citations as recorded by crossref.
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67 citations as recorded by crossref.
- Comparison of three remote sensing based models for the estimation of latent heat flux over India R. Eswar et al. 10.1080/02626667.2017.1404067
- 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. 10.3390/rs13152998
- 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
- Accounting for Almond Crop Water Use under Different Irrigation Regimes with a Two-Source Energy Balance Model and Copernicus-Based Inputs C. Jofre-Čekalović et al. 10.3390/rs14092106
- Effect of Cloud Cover on Temporal Upscaling of Instantaneous Evapotranspiration Y. Jiang et al. 10.1061/(ASCE)HE.1943-5584.0001635
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- Decreased latency in landsat-derived land surface temperature products: A case for near-real-time evapotranspiration estimation in California K. Knipper et al. 10.1016/j.agwat.2023.108316
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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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- Estimating Evapotranspiration Using Coupled Remote Sensing and Three SEB Models in an Arid Region A. Elkatoury et al. 10.1007/s40710-019-00410-w
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- Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem A. Nassar et al. 10.3390/rs14020372
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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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- A drought indicator reflecting ecosystem responses to water availability: The Normalized Ecosystem Drought Index K. Chang et al. 10.1016/j.agrformet.2017.12.001
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- Remotely sensed land-surface energy fluxes at sub-field scale in heterogeneous agricultural landscape and coniferous plantation R. Guzinski et al. 10.5194/bg-11-5021-2014
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- Utility of an Automated Thermal-Based Approach for Monitoring Evapotranspiration W. Timmermans et al. 10.1515/acgeo-2015-0016
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- 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
- On the Use of a Water Balance to Evaluate Interannual Terrestrial ET Variability E. Han et al. 10.1175/JHM-D-14-0175.1
- 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
3 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
- Derivation of Daily Evaporative Fraction Based on Temporal Variations in Surface Temperature, Air Temperature, and Net Radiation J. Lu et al. 10.3390/rs5105369
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Latest update: 06 Dec 2023