Dr John Beck

Posters
	Development of a Deep Learning Super-Resolution Generative Adversarial Network (SGAN) for Improving the Resolution of Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) Data (AGU Fall Meeting 2019)
	Using Earth Observations within a Health Management Information System for Improving Malaria Decision Support (AGU Fall Meeting 2019)
	Machine Learning for Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) Resolution Improvement (AGU Fall Meeting 2018)
	Deep Learning for Multisensor Image Resolution Enhancement (11th Annual Science & Technology Jamboree 2017)
	Deployment of Small Unmanned Aerial Systems (sUAS) in Emergency and Disaster Response Scenarios to Support Integration of Geospatial Technologies into Local Emergency Management: A Use Case Study with GeoHuntsville in Huntsville, Alabama (AGU 2017)
	Disaster Event-Based Data Collection and ARCGIS Online Services (ESRI User Conference 2017)

Projects

Cloud-based Analytical Framework for Precipitation Research (CAPRi)

Researchers at the University of Alabama in Huntsville’s (UAH) Information Technology and Systems Center (ITSC) and Earth Systems Science Center (ESSC), in collaboration with the NASA Marshall Space Flight Center (NASA/MSFC), are developing a Cloud-based Analytic Framework for Precipitation...

Super Multispectral Enhancement and Radar Fusion (SMERF)

Comparison of low-resolution satellite image (left) and CNN super-resolution image (right) for a region where no corresponding high-resolution image is available.

Researchers at the University of Alabama in Huntsville’s (UAH) Information Technology and Systems Center (ITSC) are conducting research in deep learning and super image resolution to develop an improved method of pan-sharpening MSI and fusing the results with SAR data. Results will provide an...

MoSqUITO (Malaria Support UsIng earTh Observations)

Researchers at UAH in collaboration with the Center for Disease Control and Prevention (CDC) and NASA are working to improve malaria control decision making in sub-Saharan Africa by developing and deploying a technology for incorporating the latest NASA Earth observations for surface...