Satellite-based Global Irrigation Water Use data set (2011-2018)

Satellite-based Global Irrigation Water Use data set (2011-2018)

Agricultural irrigation consumes a large amount of available freshwater resources and is the most immediate human disturbance to the natural water cycle process, with accelerated regional water cycles accompanied by cooling effects. Therefore, estimating irrigation water use (IWU) is important for exploring the impact of human activities on the natural water cycle, quantifying water resources budget, and optimizing agricultural water management. However, the current irrigation data are mainly based on the survey statistics, which is scattered and lacks uniformity, and cannot meet the demand for estimating the spatial and temporal changes of IWU. The Global Irrigation Water Use Estimation Dataset (2011-2018) is calculated by the satellite soil moisture, precipitation, vegetation index, and meteorological data (such as incoming radiation and temperature) based on the principle of soil water balance. The framework of IWU estimation in this study coupled the remotely sensed evapotranspiration process module and the data-model fusion algorithm based on differential evolution. The IWU estimates provided from this dataset have small bias at different spatial scales (e.g., regional, state/province and national) compared to traditional discrete survey statistics, such as at Chinese provinces for 2015 (bias = −3.10 km^3), at U.S. states for 2013 (bias = −0.42 km^3), and at various FAO countries (bias = −10.84 km^3). Also, the ensemble IWU estimates show lower uncertainty compared to the results derived from individual precipitation and soil moisture satellite products. The dataset is unified using a global geographic latitude and longitude grid, with associated metadata stored in corresponding NetCDF file. The spatial resolution is about 25 km, the time resolution is monthly, and the time span is 2011-2018. This dataset will help to quantitatively assess the spatial and temporal patterns of agricultural irrigation water use during the historical period and support scientific agricultural water management.

File naming and required software

Filename: grid-based irrigation water use is stored in NetCDF format, and the file name is "IWU_ ens_ Yyyyy ", where yyyy stands for the year. Like IWU_ ens_ represents this NetCDF file to describe the grid-based data of global irrigation water use with a monthly scale in 2011.

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Cite as:

Zhang, K., Li, X., Zheng, D., Zhang, L., Zhu, G. (2021). Satellite-based Global Irrigation Water Use data set (2011-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Hydro.tpdc.271220. CSTR: 18406.11.Hydro.tpdc.271220. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Zhang, K., Li, X., Zheng, D., Zhang, L., & Zhu, G. (2022). Estimation of Global Irrigation Water Use by the Integration of Multiple Satellite Observations. Water Resources Research, 58(3), e2021WR030031. View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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Geographic coverage
East: 180.00 West: 180.00
South: 90.00 North: 90.00
  • Temporal resolution: Monthly
  • Spatial resolution: 10km - 100km
  • File size: 759 MB
  • Views: 11220
  • Downloads: 1203
  • Access: Open Access
  • Temporal coverage: 2011-01-01 To 2018-12-31
  • Updated time: 2022-04-15
: ZHANG Kun   LI Xin   ZHENG Donghai   ZHANG Ling   ZHU Gaofeng   

Distributor: A Big Earth Data Platform for Three Poles


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