Articles | Volume 13, issue 8
https://doi.org/10.5194/essd-13-3995-2021
© 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/essd-13-3995-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation
Minghan Cheng
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing, 100081, PR China
Hohai University, College of Agricultural Science and Engineering, Nanjing, Jiangsu Province, 210048, PR China
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing, Jiangsu Province, 210048, PR China
Xiyun Jiao
CORRESPONDING AUTHOR
Hohai University, College of Agricultural Science and Engineering, Nanjing, Jiangsu Province, 210048, PR China
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing, Jiangsu Province, 210048, PR China
Binbin Li
Monitoring Center of Soil and Water Conservation, Ministry of Water Resources of the People's Republic of China, Beijing, 100053, PR China
Xun Yu
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing, 100081, PR China
Mingchao Shao
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing, 100081, PR China
Xiuliang Jin
CORRESPONDING AUTHOR
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing, 100081, PR China
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27 citations as recorded by crossref.
- Evaluating the Potential of Different Evapotranspiration Datasets for Distributed Hydrological Model Calibration X. Guo et al. 10.3390/rs14030629
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- Effect of urbanization on energy balance and evapotranspiration in an Amazon–Cerrado transition region in Brazil J. Pinheiro et al. 10.1117/1.JRS.16.044516
- Evapotranspiration Estimation Using Remote Sensing Technology Based on a SEBAL Model in the Upper Reaches of the Huaihe River Basin L. Tan et al. 10.3390/atmos12121599
- Significant Disparity in Spatiotemporal Changes of Terrestrial Evapotranspiration across Reanalysis Datasets in China from 1982 to 2020 J. Bai et al. 10.3390/rs15184522
- 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
- A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020 S. He et al. 10.5194/essd-14-5463-2022
- Using Remote Sensing to Quantify the Joint Effects of Climate and Land Use/Land Cover Changes on the Caatinga Biome of Northeast Brazilian A. Jardim et al. 10.3390/rs14081911
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- STEEP: A remotely-sensed energy balance model for evapotranspiration estimation in seasonally dry tropical forests U. Bezerra et al. 10.1016/j.agrformet.2023.109408
- Estimation of Evapotranspiration and Soil Water Content at a Regional Scale Using Remote Sensing Data H. Chen et al. 10.3390/w14203283
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- Trends and Changes in Hydrologic Cycle in the Huanghuaihai River Basin from 1956 to 2018 X. Yang et al. 10.3390/w14142148
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- Evaluating the added value of multi-variable calibration of SWAT with remotely sensed evapotranspiration data for improving hydrological modeling S. Shah et al. 10.1016/j.jhydrol.2021.127046
- Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize M. Cheng et al. 10.1016/j.agwat.2023.108442
- A gridded dataset of consumptive water footprints, evaporation, transpiration, and associated benchmarks related to crop production in China during 2000–2018 W. Wang et al. 10.5194/essd-15-4803-2023
- Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods M. Shao et al. 10.1016/j.compag.2023.108029
- Identification of the dominant factors and altitudinal variation in water use efficiency in the Qinling–Daba Mountains T. Zhao et al. 10.1016/j.ecolind.2024.111626
- Estimating the Actual Evapotranspiration Using Remote Sensing and SEBAL Model in an Arid Environment of Northwest China X. Chen et al. 10.3390/w15081555
- A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation M. Cheng et al. 10.1080/01431161.2023.2240523
- Error characterization of global land evapotranspiration products: Collocation-based approach C. Li et al. 10.1016/j.jhydrol.2022.128102
- MODIS-based modeling of evapotranspiration from woody vegetation supported by root-zone water storage G. Cui et al. 10.1016/j.rse.2024.114000
- geeSEBAL-MODIS: Continental-scale evapotranspiration based on the surface energy balance for South America B. Comini de Andrade et al. 10.1016/j.isprsjprs.2023.12.001
- Urbanization-induced impacts on heat-energy fluxes in tropical South America from 1984 to 2020: The Metropolitan Area of Rio de Janeiro/Brazil V. Miranda et al. 10.1016/j.buildenv.2022.109008
- Multi-scale spatial analysis of satellite-retrieved surface evapotranspiration in Beijing, a rapidly urbanizing region under continental monsoon climate R. Liu et al. 10.1007/s11356-022-23580-x
27 citations as recorded by crossref.
- Evaluating the Potential of Different Evapotranspiration Datasets for Distributed Hydrological Model Calibration X. Guo et al. 10.3390/rs14030629
- Impacts of climatic zones on urban heat island: Spatiotemporal variations, trends, and drivers in China from 2001–2020 X. Geng et al. 10.1016/j.scs.2022.104303
- Effect of urbanization on energy balance and evapotranspiration in an Amazon–Cerrado transition region in Brazil J. Pinheiro et al. 10.1117/1.JRS.16.044516
- Evapotranspiration Estimation Using Remote Sensing Technology Based on a SEBAL Model in the Upper Reaches of the Huaihe River Basin L. Tan et al. 10.3390/atmos12121599
- Significant Disparity in Spatiotemporal Changes of Terrestrial Evapotranspiration across Reanalysis Datasets in China from 1982 to 2020 J. Bai et al. 10.3390/rs15184522
- 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
- A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020 S. He et al. 10.5194/essd-14-5463-2022
- Using Remote Sensing to Quantify the Joint Effects of Climate and Land Use/Land Cover Changes on the Caatinga Biome of Northeast Brazilian A. Jardim et al. 10.3390/rs14081911
- Simulating critical nutrient loadings of regime shift in the shallow plateau Lake Dianchi D. Wu et al. 10.1016/j.ecolmodel.2024.110689
- STEEP: A remotely-sensed energy balance model for evapotranspiration estimation in seasonally dry tropical forests U. Bezerra et al. 10.1016/j.agrformet.2023.109408
- Estimation of Evapotranspiration and Soil Water Content at a Regional Scale Using Remote Sensing Data H. Chen et al. 10.3390/w14203283
- A global terrestrial evapotranspiration product based on the three-temperature model with fewer input parameters and no calibration requirement L. Yu et al. 10.5194/essd-14-3673-2022
- Trends and Changes in Hydrologic Cycle in the Huanghuaihai River Basin from 1956 to 2018 X. Yang et al. 10.3390/w14142148
- Simulation and Assessment of Daily Evapotranspiration in the Heihe River Basin over a Long Time Series Based on TSEB-SM S. Tao et al. 10.3390/rs16030462
- Untangling the effects of climate change and land use/cover change on spatiotemporal variation of evapotranspiration over China X. Li et al. 10.1016/j.jhydrol.2022.128189
- Evaluating the added value of multi-variable calibration of SWAT with remotely sensed evapotranspiration data for improving hydrological modeling S. Shah et al. 10.1016/j.jhydrol.2021.127046
- Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize M. Cheng et al. 10.1016/j.agwat.2023.108442
- A gridded dataset of consumptive water footprints, evaporation, transpiration, and associated benchmarks related to crop production in China during 2000–2018 W. Wang et al. 10.5194/essd-15-4803-2023
- Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods M. Shao et al. 10.1016/j.compag.2023.108029
- Identification of the dominant factors and altitudinal variation in water use efficiency in the Qinling–Daba Mountains T. Zhao et al. 10.1016/j.ecolind.2024.111626
- Estimating the Actual Evapotranspiration Using Remote Sensing and SEBAL Model in an Arid Environment of Northwest China X. Chen et al. 10.3390/w15081555
- A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation M. Cheng et al. 10.1080/01431161.2023.2240523
- Error characterization of global land evapotranspiration products: Collocation-based approach C. Li et al. 10.1016/j.jhydrol.2022.128102
- MODIS-based modeling of evapotranspiration from woody vegetation supported by root-zone water storage G. Cui et al. 10.1016/j.rse.2024.114000
- geeSEBAL-MODIS: Continental-scale evapotranspiration based on the surface energy balance for South America B. Comini de Andrade et al. 10.1016/j.isprsjprs.2023.12.001
- Urbanization-induced impacts on heat-energy fluxes in tropical South America from 1984 to 2020: The Metropolitan Area of Rio de Janeiro/Brazil V. Miranda et al. 10.1016/j.buildenv.2022.109008
- Multi-scale spatial analysis of satellite-retrieved surface evapotranspiration in Beijing, a rapidly urbanizing region under continental monsoon climate R. Liu et al. 10.1007/s11356-022-23580-x
Latest update: 01 May 2024
Short summary
Evapotranspiration (ET) is a key node linking surface water and energy balance. Satellite observations of ET have been widely used for water resources management in China. In this study, an ET product with high spatiotemporal resolution was generated using a surface energy balance algorithm and multisource remote sensing data. The generated ET product can be used for geoscience studies, especially global change, water resources management, and agricultural drought monitoring, for example.
Evapotranspiration (ET) is a key node linking surface water and energy balance. Satellite...
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