Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1119-2018
© Author(s) 2018. 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-22-1119-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A global approach to estimate irrigated areas – a comparison between different data and statistics
Jonas Meier
CORRESPONDING AUTHOR
Department of Geography, Ludwig Maximilians University, 80333 Munich, Germany
Florian Zabel
Department of Geography, Ludwig Maximilians University, 80333 Munich, Germany
Wolfram Mauser
Department of Geography, Ludwig Maximilians University, 80333 Munich, Germany
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114 citations as recorded by crossref.
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113 citations as recorded by crossref.
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- Climate change will exacerbate land conflict between agriculture and timber production C. Bousfield et al. 10.1038/s41558-024-02113-z
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- Trade-Off and Synergy Relationships of Ecosystem Services and Driving Force Analysis based on Land Cover Change in Altay Prefecture L. Hao et al. 10.5814/j.issn.1674-764x.2021.06.006
- Characterization and control of irrigation canal seepage losses: A review and perspective focused on field data A. Lund et al. 10.1016/j.agwat.2023.108516
- STATISTICAL DATA COLLECTION METHODOLOGIES OF IRRIGATED AREAS AND THEIR LIMITATIONS: A REVIEW A. Ajaz et al. 10.1002/ird.2365
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- Global inventory of suitable, cultivable and available cropland under different scenarios and policies J. Schneider et al. 10.1038/s41597-022-01632-8
- Application of the Random Forest Classifier to Map Irrigated Areas Using Google Earth Engine J. Magidi et al. 10.3390/rs13050876
- An integrated approach for multi-year irrigation benchmarking using satellites, surveys and on-farm measured data Z. Gao et al. 10.1016/j.agwat.2024.108962
- Implementation of a new crop phenology and irrigation scheme in the ISBA land surface model using SURFEX_v8.1 A. Druel et al. 10.5194/gmd-15-8453-2022
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- Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies A. Puy et al. 10.1088/1748-9326/ac5768
- A Review of Irrigation Information Retrievals from Space and Their Utility for Users C. Massari et al. 10.3390/rs13204112
- Mapping Irrigated Area at Field Scale Based on the OPtical TRApezoid Model (OPTRAM) Using Landsat Images and Google Earth Engine Z. Yao et al. 10.1109/TGRS.2022.3148274
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Latest update: 20 Nov 2024
Short summary
The following study extends existing irrigation maps based on official reports. The main idea was to extend the reported irrigated areas using agricultural suitability data and compare them with remote sensing information about plant conditions. The analysis indicates an increase in irrigated land by 18 % compared to the reported statistics. The additional areas are mainly identified within already known irrigated regions where irrigation is more dense than previously estimated.
The following study extends existing irrigation maps based on official reports. The main idea...