Cindy Thatcher is a geographer with the U.S. Geological Survey National Geospatial Program in Reston, VA.
She serves as the elevation planning and management lead for the 3D Elevation Program (3DEP). She has a background in ecological applications of airborne and terrestrial lidar, with a focus on the use of lidar for mapping coastal topography and analyzing vegetation structure. Cindy previously worked at USGS science centers in Virginia, Louisiana, and Tennessee, where she conducted research on coastal environments, wetlands, and wildlife habitat.
Education and Certifications
Master’s degree in Geography from the University of Arkansas
Bachelor’s degree from James Madison University.
Science and Products
Evaluation and testing of standardized forest vegetation metrics derived from lidar data
The USGS 3D Elevation Program (3DEP) is managing the acquisition of lidar data across the Nation for high resolution mapping of the land surface, useful for multiple applications. Lidar data is initially collected as 3-dimensional “point clouds” that map the interaction of the airborne laser with earth surface features, including vegetation, buildings, and ground features. Generally the product of...
Collecting Elevation Data to Understand Climate Change Effects in the Marshall Islands
The Intergovernmental Panel on Climate Change reports that low-lying atolls (ring-shaped islands or island chains made of coral) in the Pacific Ocean are extremely vulnerable to high tide events (“king tides”), storm surge, tsunamis, and sea-level rise. The Republic of the Marshall Islands (RMI) spreads over 29 atolls and has a population of over 50,000 people with homes and communities that may b...
SERAP: Assessment of Shoreline Retreat in Response to Sea Level Rise
The broad range of complex factors influencing coastal systems contribute to large uncertainties in predicting long-term sea level rise impacts. Researchers demonstrated the capabilities of a Bayesian network (BN) to predict long-term shoreline change associated with sea level rise and make quantitative assessments for predicting uncertainty. A BN was used to define relationships between driving f
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Evaluation and testing of standardized forest vegetation metrics derived from lidar data
The USGS 3D Elevation Program (3DEP) is managing the acquisition of lidar data across the Nation for high resolution mapping of the land surface, useful for multiple applications. Lidar data is initially collected as 3-dimensional “point clouds” that map the interaction of the airborne laser with earth surface features, including vegetation, buildings, and ground features. Generally the product of...Collecting Elevation Data to Understand Climate Change Effects in the Marshall Islands
The Intergovernmental Panel on Climate Change reports that low-lying atolls (ring-shaped islands or island chains made of coral) in the Pacific Ocean are extremely vulnerable to high tide events (“king tides”), storm surge, tsunamis, and sea-level rise. The Republic of the Marshall Islands (RMI) spreads over 29 atolls and has a population of over 50,000 people with homes and communities that may b...SERAP: Assessment of Shoreline Retreat in Response to Sea Level Rise
The broad range of complex factors influencing coastal systems contribute to large uncertainties in predicting long-term sea level rise impacts. Researchers demonstrated the capabilities of a Bayesian network (BN) to predict long-term shoreline change associated with sea level rise and make quantitative assessments for predicting uncertainty. A BN was used to define relationships between driving f - Multimedia