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Dan Tian
The University of AlabamaMeeting roles in:
Constructing a High-Resolution Reservoir Dataset Across the Contiguous United States Using Sentinel-1 SAR Imagery
Derivation of Full‑Depth Velocity Profiles across River Channels by using Drone-based Particle Imagining Velocimetry and Entry-based Velocity Distribution Model
Toward Robust Large-scale Evaluations of Flood Inundation Predictions
A Framework for Large-scale Flood Inundation Mapping and Evaluation over an Extensive Benchmark Database.
Commission Error Analysis and Correction in Remote Sensing Flood Maps Using an Object-Oriented, Hydrologically Informed Approach
Generation of High-Resolution Flood Inundation Maps from Airborne Imagery Using Supervised Machine Learning
Stage-Specific Intercomparison of Five Flood Inundation Models Across the Rising and Falling Limbs of a Flood Event
High-Fidelity Spatio-temporal Fusion of Multi-sensor Satellite Data: A Two-Stage Generative Adversarial Framework Built Upon ConvLSTM and ViT Deep Learning Models
Automated Extraction of River Channels and Morphological Attributes from SAR Imagery Using a Fine-Tuned Deep Learning Foundation Model and Computer Vision Post-Processing Algorithms
Evaluation of SWOT-Derived Lake Products and Development of Lake Hypsometric Rating Curves through the Integration of SWOT, Satellite Altimetry, and Satellite Imagery
A Framework for the Evaluation of Flood Inundation Predictions Over Extensive Benchmark Databases
A Neural Network-Based Integration of HEC-RAS, LISFLOOD-FP, and OWP-HAND FIM for Enhanced Flood Inundation Mapping
Automated Basin-Scale River Reach Segmentation using Morphologic Attributes Derived from Sentinel-1 SAR and SAM2 Deep Learning Foundation Model
Cloud-Based Water Quality Mapping with Landsat-8/9 and Sentinel-2 on Google Earth Engine
Evaluating the Generalizability and Transferability of Water Quality Remote Sensing Models Calibrated with Drone-Based Hyperspectral Imagery and Dense in situ Measurements from an Autonomous Surface Vehicle
Remote Sensing-Based Mapping and Monitoring Salinity and Dissolved Oxygen in Mobile Bay and Coastal Alabama Using Deep Learning and Sentinel‑3 OLCI Data
GLWaterlevel-Analyst: An Open-Source Remote Sensing Toolbox in QGIS for Global Lake Water Level Analysis and Prediction
Streamlining Satellite-Based Water Quality Assessment: The RS-WaterQuality Mapper Toolbox for QGIS
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