Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-197-2017
© Author(s) 2017. 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-21-197-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Jan 2017
Research article |
| 11 Jan 2017
Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an artificial neural network approach
Remote Sensing and Ecohydrological Modeling, Dept. ERIN, Luxembourg
Institute of Science and Technology, Belvaux, Luxembourg
Water Resources, Dept. ITC, University of Twente, Enschede,
the Netherlands
Kaniska Mallick
CORRESPONDING AUTHOR
Remote Sensing and Ecohydrological Modeling, Dept. ERIN, Luxembourg
Institute of Science and Technology, Belvaux, Luxembourg
Gerard Kiely
Civil and Environmental Engineering Dept., and Environmental Research Institute,
University College Cork, Cork, Ireland
Olivier Roupsard
CIRAD, UMR Eco&Sols, 2 Place Viala, Montpellier, France
CATIE, Centro Agronómico Tropical de Investigación y Enseñanza,
Turrialba, Cartago, Costa Rica
Matthias Peichl
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
Vincenzo Magliulo
Consiglio Nazionale delle Ricerche, ISAFOM, Ercolano, Naples, Italy
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Cited
11 citations as recorded by crossref.
- 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
- Up-scaling the latent heat flux from instantaneous to daily-scale: A comparison of three methods M. Cheng et al. 10.1016/j.ejrh.2022.101057
- Estimation of surface downward shortwave radiation over China from AVHRR data based on four machine learning methods Y. Wei et al. 10.1016/j.solener.2018.11.008
- Improving time upscaling of instantaneous evapotranspiration based on machine learning models D. Yang et al. 10.1080/20964471.2024.2423431
- Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project A. Nassar et al. 10.3390/rs13152887
- How High to Fly? Mapping Evapotranspiration from Remotely Piloted Aircrafts at Different Elevations L. Ebert et al. 10.3390/rs14071660
- Spatial estimation of actual evapotranspiration over irrigated turfgrass using sUAS thermal and multispectral imagery and TSEB model K. Meza et al. 10.1007/s00271-023-00899-y
- Thermally derived evapotranspiration from the Surface Temperature Initiated Closure (STIC) model improves cropland GPP estimates under dry conditions Y. Bai et al. 10.1016/j.rse.2022.112901
- Evaluating the performance of the TSEB model for sorghum evapotranspiration estimation using time series UAV imagery E. Tunca 10.1007/s00271-023-00887-2
- The accuracy of temporal upscaling of instantaneous evapotranspiration to daily values with seven upscaling methods Z. Liu 10.5194/hess-25-4417-2021
- Comparison of evapotranspiration upscaling methods from instantaneous to daytime scale for tea and wheat in southeast China H. Yan et al. 10.1016/j.agwat.2022.107464
11 citations as recorded by crossref.
- 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
- Up-scaling the latent heat flux from instantaneous to daily-scale: A comparison of three methods M. Cheng et al. 10.1016/j.ejrh.2022.101057
- Estimation of surface downward shortwave radiation over China from AVHRR data based on four machine learning methods Y. Wei et al. 10.1016/j.solener.2018.11.008
- Improving time upscaling of instantaneous evapotranspiration based on machine learning models D. Yang et al. 10.1080/20964471.2024.2423431
- Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project A. Nassar et al. 10.3390/rs13152887
- How High to Fly? Mapping Evapotranspiration from Remotely Piloted Aircrafts at Different Elevations L. Ebert et al. 10.3390/rs14071660
- Spatial estimation of actual evapotranspiration over irrigated turfgrass using sUAS thermal and multispectral imagery and TSEB model K. Meza et al. 10.1007/s00271-023-00899-y
- Thermally derived evapotranspiration from the Surface Temperature Initiated Closure (STIC) model improves cropland GPP estimates under dry conditions Y. Bai et al. 10.1016/j.rse.2022.112901
- Evaluating the performance of the TSEB model for sorghum evapotranspiration estimation using time series UAV imagery E. Tunca 10.1007/s00271-023-00887-2
- The accuracy of temporal upscaling of instantaneous evapotranspiration to daily values with seven upscaling methods Z. Liu 10.5194/hess-25-4417-2021
- Comparison of evapotranspiration upscaling methods from instantaneous to daytime scale for tea and wheat in southeast China H. Yan et al. 10.1016/j.agwat.2022.107464
Discussed (preprint)
Latest update: 23 Nov 2024
Short summary
Upscaling instantaneous to daily evapotranspiration (ETi–ETd) is one of the central challenges in regional vegetation water-use mapping using polar orbiting satellites. Here we developed a robust ETi upscaling for global studies using the ratio between daily and instantaneous global radiation (RSd/RSi). Using data from 126 FLUXNET tower sites, this study demonstrated the RSd/RSi ratio to be the most robust factor explaining ETd/ETi variability across variable sky conditions and multiple biomes.
Upscaling instantaneous to daily evapotranspiration (ETi–ETd) is one of the central challenges...
