3rd NOAA Workshop on Leveraging AI in Environmental Sciences

Chairs: Jebb Stewart; Yoonjin Lee

Posters:
Rackhun Son – "Machine Learning provides substantial improvements to county-level fire weather forecasting over the western United States"
Meghna Babbar-Sebens – "InterACTWEL Cyberinfrastructure: Enabling Longitudinal Stakeholder Decision Support for Adaptation Planning in Local Communities"
Carroll A. Hood – "Proof-of-concept Demonstrations of the Application of Emerging Technologies into the Environmental Data Stewardship Lifecycle"
Lakshmish Ramaswamy – "Engineering Robust Machine Learning Systems for Blue Carbon Assessment"
Katherine Wilson – "Development of automated video review tools and processing to evaluate the performance of bycatch reduction devices in Alaska’s walleye pollock (Gadus chalcogrammus) fishery "
Jordan A. Caraballo-Vega – "Applicability of Mask R-CNN for Object Classification in Very High-Resolution Satellite Imagery"
Devaki Raj – "Scaling Computer Vision (CV) for Environmental Monitoring through Code-Free Tools
Izzat Kamarudzaman – "Towards AI Adoption: Data-driven Machine Learning Systems"
Gabrielle Gantos – "4D Post-Processing of Holographic Images"
Achraf Tounsi – "The use of machine learning to account for reservoir management and predict downstream streamflow values"
Xingming Liang – "A Deep Learning Based Forward Microwave Radiative Transfer Model "
Fan Meng – "Forecasting Tropical Cyclones Wave Height using Bidirectional Gated Recurrent Unit"
Handan Sun – "Tropical cyclone frequency prediction method based on neural network"
Ruchika – "DATA-DRIVEN WEATHER FORECASTING USING ML METHODS ON IMDAA DATA"