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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
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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
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
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Mark
Enhanced multi-mission remote sensing of inland water surface elevation using Sentinel-3, Sentinel-6, and SWOT satellite altimeters and an environmentally informed LSTM-based neural network
- Contribution to journal › Article
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Mark
Assessing groundwater nitrate hotspot mitigation through management scenarios and AI-based risk prediction across Europe under climate change
(2026) EGU General Assembly 2026
- Contribution to conference › Abstract
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Mark
An End-to-End Python-Based Toolkit for Facilitated Time-Series Interferometric Synthetic Aperture Radar (InSAR) Analysis of Sentinel-1 Remote Sensing Data
(2026) EGU General Assembly 2026
- Contribution to conference › Abstract
