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- 2026
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Mark
Ground deformation and groundwater dynamics : the role of interferometric synthetic aperture radar analysis in confined aquifer systems
(2026) p.223-238
- Chapter in Book/Report/Conference proceeding › Book chapter
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Mark
Assessing dust storm risks in water-scarce regions : a machine learning approach
(2026) p.13-24
- Chapter in Book/Report/Conference proceeding › Book chapter
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Mark
Machine learning in groundwater drought forecasting : a bibliometric perspective
(2026) p.293-304
- Chapter in Book/Report/Conference proceeding › Book chapter
-
Mark
Water scarcity crisis : overview of challenges and solutions
(2026) p.1-12
- Chapter in Book/Report/Conference proceeding › Book chapter
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Mark
From fractions to fragments : Policy to practice through AI-driven multiscale spatial planning for groundwater nitrate management
- Contribution to journal › Article
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Mark
Multi-model simulation performance of monthly water balance models for global catchments : Thresholds and structural sensitivity
- Contribution to journal › Article
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Mark
Enhanced remote sensing of water surface elevation through fusion of Sentinel-3 altimeter data and climate variables using machine learning
(2026) p.261-272
- Chapter in Book/Report/Conference proceeding › Book chapter
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Mark
WQEye (v1) : A Python-based software for machine learning-based retrieval of water quality parameters from Sentinel-2 and Landsat-8/9 remote sensing data aided by Google Earth Engine
- Contribution to journal › Article
- 2025
-
Mark
Unraveling the link between agricultural patterns and dust storm occurrence in Mesopotamia
- Contribution to journal › Article
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Mark
Enhancing Pan evaporation predictions : Accuracy and uncertainty in hybrid machine learning models
- Contribution to journal › Article
