Dataset List


Data Details

1-km/daily Evapotranspiration Dataset over Heihe River Basin in China (2000-2015)

HU Guangcheng1JIA Li1ZHENG Chaolei1CUI Yaokui2
1 State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China2 Institute of RS and GIS,School of Earth and Space Sciences,Peking University,Beijing 100871,China


Published:Oct. 2021

Visitors:3054       Data Files Downloaded:605      
Data Downloaded:208149.88 MB      Citations:

Key Words:

evapotranspiration,ETMonitor,daily,spatiotemporally continuous,Heihe River Basin


The 1-km/daily Evapotranspiration Dataset over Heihe River Basin in China (2000-2015) was developed using the evapotranspiration estimation model ETMonitor. The model considers land surface energy balance, water transfer and vegetation physiological processes, and is driven by a variety of biophysical parameters derived from multi-source remote sensing data. In order to fully consider the response of evapotranspiration to soil moisture conditions, a three-layer soil water transport model is added to ETMonitor, and the Ensemble Kalman Filter (EnKF) data assimilation method is used to improve the simulation effect of soil moisture conditions. The coordinate system of the dataset is latitude-longitude, the spatiotemporal resolution is 0.01°/1-day, and the spatial coverage is 96.5°E-102.5°E, 37.5°N-43°N. The dataset is archived daily, and the data format is ENVI standard. The data type is single precision floating point, and the unit is mm/day. The size of annual data is 460 MB, and the total data size is 7.2 GB (compressed to 16 files with 5.37 GB).

Foundation Item:

Chinese Academy of Sciences (XDA19030203);National Natural Science Foundation of China (42090014, 41801346, 41901348, 91425303)

Data Citation:

HU Guangcheng, JIA Li, ZHENG Chaolei, CUI Yaokui. 1-km/daily Evapotranspiration Dataset over Heihe River Basin in China (2000-2015)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021.


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     [2] Cui, Y. K., Jia, L., Hu, G. C., et al. Mapping of interception loss of vegetation in the Heihe River basin of China using remote sensing observations [J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(1): 23–27.
     [3] Cui, Y. K., Jia, L., Fan, W. J. Estimation of actual evapotranspiration and its components in an irrigated area by integrating the Shuttleworth-Wallace and surface temperature-vegetation index schemes using the particle swarm optimization algorithm [J]. Agricultural and Forest Meteorology, 2021, 307: 108488.
     [4] Cui, Y. K., Jia, L. Estimation of evapotranspiration of “soil-vegetation” system with a scheme combining a dual-source model and satellite data assimilation [J]. Journal of Hydrology, 2021.
     [5] Hu, G. C., Jia, L. Monitoring of evapotranspiration in a semi-arid inland river basin by combining microwave and optical remote sensing observations [J]. Remote Sensing, 2015, 7(3): 3056–3087.
     [6] Zheng, C. L., Jia, L., Hu, G. C., et al. Global evapotranspiration derived by ETMonitor model based on earth observations [A]. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016: 222–225.
     [7] Zheng, C. L., Jia, L., Hu, G. C., et al. Earth observations-based evapotranspiration in northeastern Thailand [J]. Remote Sensing, 2019, 11(2): 138.
     [8] Zheng, C. L., Jia, L. Global canopy rainfall interception loss derived from satellite earth observations [J]. Ecohydrology, 2020, 13(2): e2186.

Data Product:

ID Data Name Data Size Operation
1 352955.13KB
2 351738.66KB
3 352071.81KB
4 353876.54KB
5 353110.98KB
6 351763.78KB
7 352022.96KB
8 351965.34KB
9 353830.77KB
10 350872.75KB
11 351674.51KB
12 352142.50KB
13 352461.73KB
14 351001.39KB
15 352796.40KB
16 353147.15KB