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Author/Chair

Hongxing Liu

University of Alabama

Notes

Meeting 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
Integrating UAV-Based Remote Sensing and In-Situ Monitoring for High-Resolution Water Quality Assessment in North River and Lake Tuscaloosa
Monitoring Dynamic Shifts in Dissolved Organic Matter (DOM) Using Satellite Remote Sensing at a Large River Confluence
Toward Robust Large-scale Evaluations of Flood Inundation Predictions
Mapping and Monitoring Reservoir Dynamics with a Fine-Tuned Foundation Deep Learning Model and Time-Series SAR Data
Spatiotemporal Dynamics of Water Quality and Trophic State of the African Great Lakes using Sentinel-3 OLCI Observations
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
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
Field Validation of SWOT-Derived Reservoir Water Levels in the Southeastern U.S.
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
Integrating Aquatic Drone, Autonomous Surface Vehicle, and Unmanned Aerial Vehicle Platforms for 3D Flow and Water Quality Mapping in Riverine Systems

Sessions

Links & Materials

Hongxing Liu

H31K-1201: 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

My ORCID Profile

High-Fidelity Spatio-temporal Fusion of Multi-sensor Satellite Data: A Two-Stage Generative Adversarial Framework Built Upon ConvLSTM and ViT Deep Learning Models

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

Integrating UAV-Based Remote Sensing and In-Situ Monitoring for High-Resolution Water Quality Assessment in North River and Lake Tuscaloosa

Monitoring Dynamic Shifts in Dissolved Organic Matter (DOM) Using Satellite Remote Sensing at a Large River Confluence

Mapping and Monitoring Reservoir Dynamics with a Fine-Tuned Foundation Deep Learning Model and Time-Series SAR Data

Toward Robust Large-scale Evaluations of Flood Inundation Predictions

Spatiotemporal Dynamics of Water Quality and Trophic State of the African Great Lakes using Sentinel-3 OLCI Observations

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

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

Automated Basin-Scale River Reach Segmentation using Morphologic Attributes Derived from Sentinel-1 SAR and SAM2 Deep Learning Foundation Model

Field Validation of SWOT-Derived Reservoir Water Levels in the Southeastern U.S.

Evaluation of SWOT-Derived Lake Products and Development of Lake Hypsometric Rating Curves through the Integration of SWOT, Satellite Altimetry, and Satellite Imagery

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

Integrating Aquatic Drone, Autonomous Surface Vehicle, and Unmanned Aerial Vehicle Platforms for 3D Flow and Water Quality Mapping in Riverine Systems

Streamlining Satellite-Based Water Quality Assessment: The RS-WaterQuality Mapper Toolbox for QGIS