Alireza Taheri Dehkordi
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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
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
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
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Mark
A novel hybrid dual-stream deep learning architecture integrating multi-state LSTM, CNN, and multi-head self-attention for water level and discharge prediction (Missouri River Basin, USA)
- Contribution to journal › Article
- 2025
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Mark
A New Framework for Vertical Accuracy Assessment and Spatial Error Mapping of Global Digital Elevation Models Using ICESat-2
- Contribution to journal › Article
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Mark
Enhanced Remote Sensing of Inland Water Surface Elevation Using Sentinel-3 Radar Altimeter (SRAL)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Machine Learning Framework for Hydrological Drought Forecasting in Brazilian Basins with Diverse Climates
(2025) EGU General Assembly, 2025
- Contribution to conference › Abstract
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Mark
Groundwater Level Retrieval Using Temporal Integration of Sentinel-1 InSAR Time-Series and Recurrent Neural Networks
(2025) EGU General Assembly, 2025
- Contribution to conference › Abstract
