Dr John Beck

Posters
Decision Support Applications for Public Health Surveillance using NASA Earth Observations (AGU Fall Meeting 2022) Decision Support Applications for Public Health Surveillance using NASA Earth Observations (AGU Fall Meeting 2022)
Accessing NASA Precipitation Data via a Cloud-based Analytical Framework for Precipitation Research (CAPRi) Accessing NASA Precipitation Data via a Cloud-based Analytical Framework for Precipitation Research (CAPRi) (AGU Fall Meeting 2022)
Cloud-based Analytic Framework for Precipitation Research (CAPRi) to Enhance the Spatial Resolution of GPM (AGU Fall Meeting 2021) Cloud-based Analytic Framework for Precipitation Research (CAPRi) to Enhance the Spatial Resolution of GPM (AGU Fall Meeting 2021)
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) 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) 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) 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) 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 Fall Meeting 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) Disaster Event-Based Data Collection and ARCGIS Online Services (ESRI User Conference 2017)

Projects

Harnessing citizen-science to understand stressors on groundwater quality in the Alabama Gulf Coast
Water Quality Data Collection Portal - Prototype

Access to clean drinking water is a cornerstone of community resilience and sustainability, and contaminated drinking water can expose people to a variety of pollutants and pathogens. This study investigates the effects of multiple stressors on groundwater quality in the Alabama Gulf Coast...

NEOH (NASA Earth Observations for Health)
DHIS2 Interface

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...

Cloud-based Analytical Framework for Precipitation Research (CAPRi)
Components, 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...

Biblio

Converting Soil Survey Maps into Digital Products
Data Preparedness for Disasters, Hazards and Other Events
Deep Learning for Multisensor Image Resolution Enhancement
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
Disaster Event-Based Data Collections with ArcGIS Online Data Processing
Event-Driven Virtual Collections for Community Solutions
General introduction to GIS
Highly weathered mineralogy of select soils from Southeastern U.S. Coastal Plain and Piedmont landscapes
Image rectification for recompiling and digitizing soil survey maps.
Techniques for marketing SeaWiFS ocean color satellite imagery on the internet
Using Earth Observations within a Health Management Information System for Improving Malaria Decision Support
Using NASA Earth Observations within DHIS2 to support Malaria Control Decisions