individual
What campus are you from?
Daytona Beach
Authors' Class Standing
Kaycie Williams, Senior
Lead Presenter's Name
Kaycie Williams
Faculty Mentor Name
Stephen Medeiros
Abstract
The Global Navigation Satellite System (GNSS) is mostly known for providing positioning data to users across a broad spectrum of applications, including navigation, mobile device location services, and attitude control for spacecraft. By processing the signals differently, GNSS is also a useful tool for studying weather anomalies and tracking natural disasters. Global Navigation Satellite System Reflectometry (GNSS-R) is a remote sensing technology that utilizes GNSS signals reflected off the Earth's surface to study geophysical processes. GNSS-R can be deployed through spaceborne, airborne, UAV-based, and ground-based platforms, each for specific natural disaster applications. Spaceborne GNSS-R, such as CYGNSS, is commonly used in large-scale monitoring of soil moisture, droughts, and extreme weather. Airborne and UAV-based GNSS-R systems are used for applications such as flood detection and hurricane tracking. Ground-based GNSS-R is used for continuous monitoring of floods and tsunamis. Multi-platform approaches integrate different data sources such as satellite imagery and in-situ observations, often increasing spatio-temporal resolution, precision, and accuracy. This review explores the applications of GNSS-R to monitor environmental conditions with a focus on hydrological natural hazards. GNSS-R technologies are categorized based on their platform, typical spatial and temporal resolutions, latency, and performance in a wide variety of applications to guide emergency and natural resource managers in the use of GNSS-R.
Did this research project receive funding support from the Office of Undergraduate Research.
No
Advancements in GNSS-R: Applications in Environmental Monitoring and Natural Hazards
The Global Navigation Satellite System (GNSS) is mostly known for providing positioning data to users across a broad spectrum of applications, including navigation, mobile device location services, and attitude control for spacecraft. By processing the signals differently, GNSS is also a useful tool for studying weather anomalies and tracking natural disasters. Global Navigation Satellite System Reflectometry (GNSS-R) is a remote sensing technology that utilizes GNSS signals reflected off the Earth's surface to study geophysical processes. GNSS-R can be deployed through spaceborne, airborne, UAV-based, and ground-based platforms, each for specific natural disaster applications. Spaceborne GNSS-R, such as CYGNSS, is commonly used in large-scale monitoring of soil moisture, droughts, and extreme weather. Airborne and UAV-based GNSS-R systems are used for applications such as flood detection and hurricane tracking. Ground-based GNSS-R is used for continuous monitoring of floods and tsunamis. Multi-platform approaches integrate different data sources such as satellite imagery and in-situ observations, often increasing spatio-temporal resolution, precision, and accuracy. This review explores the applications of GNSS-R to monitor environmental conditions with a focus on hydrological natural hazards. GNSS-R technologies are categorized based on their platform, typical spatial and temporal resolutions, latency, and performance in a wide variety of applications to guide emergency and natural resource managers in the use of GNSS-R.