Articles | Volume 23, issue 2
https://doi.org/10.5194/hess-23-897-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-897-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data
Felix Zaussinger
CORRESPONDING AUTHOR
CLIMERS – Research Group Climate and Environmental Remote Sensing, Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
Wouter Dorigo
CORRESPONDING AUTHOR
CLIMERS – Research Group Climate and Environmental Remote Sensing, Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
Alexander Gruber
CLIMERS – Research Group Climate and Environmental Remote Sensing, Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
Department of Earth and Environmental Sciences, KU Leuven, Heverlee, Belgium
Angelica Tarpanelli
Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy
Paolo Filippucci
Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy
Luca Brocca
Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy
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- Integrating remote sensing, irrigation suitability and statistical data for irrigated cropland mapping over mainland China L. Zhang et al. 10.1016/j.jhydrol.2022.128413
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- Is It Possible to Quantify Irrigation Water‐Use by Assimilating a High‐Resolution Satellite Soil Moisture Product? E. Jalilvand et al. 10.1029/2022WR033342
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- Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture L. Zappa et al. 10.3390/rs13091727
- A sensitivity analysis of a FAO-56 dual crop coefficient-based model under various field conditions P. Laluet et al. 10.1016/j.envsoft.2022.105608
- A Method to Estimate Surface Soil Moisture and Map the Irrigated Cropland Area Using Sentinel-1 and Sentinel-2 Data S. Rabiei et al. 10.3390/su132011355
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- Estimation of Irrigation Water Use by Using Irrigation Signals from SMAP Soil Moisture Data L. Zhu et al. 10.3390/agriculture13091709
- Estimation of Global Irrigation Water Use by the Integration of Multiple Satellite Observations K. Zhang et al. 10.1029/2021WR030031
- Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US – Part 1: An overview M. Huang et al. 10.5194/acp-21-11013-2021
- Evaluating Uncertainties in an SM-Based Inversion Algorithm for Irrigation Estimation in a Subtropical Humid Climate L. Almendra-Martín et al. 10.3390/w16172445
- Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data P. Filippucci et al. 10.1016/j.advwatres.2019.103502
- A Sensitivity Analysis of a Fao-56 Dual Crop Coefficient-Based Model Under Various Field Conditions P. Laluet et al. 10.2139/ssrn.4170062
- A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses L. Karthikeyan et al. 10.1016/j.jhydrol.2020.124905
- Assessment of irrigation water use for dry beans in center pivots using ERA5 Land climate variables and Sentinel 2 NDVI time series in the Brazilian Cerrado L. De La Guardia et al. 10.1016/j.agwat.2024.109128
- A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements J. Peng et al. 10.1016/j.rse.2020.112162
- Remote sensing of field-scale irrigation withdrawals in the central Ogallala aquifer region S. Filippelli et al. 10.1016/j.agwat.2022.107764
- Irrigation and Precipitation Hydrological Consistency with SMOS, SMAP, ESA-CCI, Copernicus SSM1km, and AMSR-2 Remotely Sensed Soil Moisture Products N. Paciolla et al. 10.3390/rs12223737
- A Systematic Review and Meta-Analysis of Intelligent Irrigation Systems H. Hammouch et al. 10.1109/ACCESS.2024.3421322
- Double-scale analysis on the detectability of irrigation signals from remote sensing soil moisture over an area with complex topography in central Italy J. Dari et al. 10.1016/j.advwatres.2022.104130
- How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture? L. Zappa et al. 10.1016/j.jag.2022.102979
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Discussed (preprint)
Latest update: 20 Nov 2024
Short summary
About 70 % of global freshwater is consumed by irrigation. Yet, policy-relevant estimates of irrigation water use (IWU) are virtually lacking at regional to global scales. To bridge this gap, we develop a method for quantifying IWU from a combination of state-of-the-art remotely sensed and modeled soil moisture products and apply it over the United States for the period 2013–2016. Overall, our estimates agree well with reference data on irrigated area and irrigation water withdrawals.
About 70 % of global freshwater is consumed by irrigation. Yet, policy-relevant estimates of...