Justin Birchler
Justin Birchler is a Physical Scientist at the St. Petersburg Coastal and Marine Science Center.
For the last decade, he has been part of the National Assessment of Storm-Induced Coastal Change Hazards project. His work in this project includes:
- Producing real-time forecasts and scenario-based predictions of coastal total water level and geomorphic change during storms.
- Analysis of lidar-derived measures of coastal change.
- Installing and maintaining USGS CoastCam sites and processing imagery obtained from coastcams.
Professional Experience
Physical Scientist, U.S. Geological Survey, St. Petersburg Coastal & Marine Geology Science Center, 2017 to present
Researcher IV, Cherokee Nation Technologies contracted to the U.S. Geological Survey, St. Petersburg Coastal & Marine Science Center, 2014 to 2017
Education and Certifications
M.S. Marine Science, College of William & Mary
B.S. Marine Science, Coastal Carolina University
Science and Products
Filter Total Items: 29
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Puerto Rico National Assessment of Hurricane-Induced Coastal Erosion Hazards: Puerto Rico
These datasets contain information on the probabilities of hurricane-induced erosion (collision, inundation, and overwash) for each 100-meter (m) section of the Puerto Rico open-ocean coastline for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model (Sallenger, 2000; https://www.jstor.org/stable/4300099) that uses observations of beach morphology combined with
Beach Profile Data Collected from Madeira Beach, Florida Beach Profile Data Collected from Madeira Beach, Florida
This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides beach profile data collected at Madeira Beach, Florida. Data were collected by a walking person equipped with a Global Positioning System receiver and a GPS antenna affixed to a surveying backpack. The horizontal position data are given in the Universal Transverse Mercator (UTM...
Storm-Induced Overwash Extent Storm-Induced Overwash Extent
The Coastal Change Hazards Technical Capabilities and Applications project at the U.S. Geological Survey (USGS) exists to understand and predict storm impacts to our nation’s coastlines. This data release defines the alongshore extent of overwash deposits, determined from aerial photograph analysis, attributed to coastal processes during storm events. Note: This data release was...
National Assessment of Hurricane-Induced Coastal Erosion Hazards National Assessment of Hurricane-Induced Coastal Erosion Hazards
These datasets contain information on the probabilities of hurricane-induced erosion (collision, inundation, and overwash) for each 1-km section of the United States sandy open-ocean coastline for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model (Sallenger, 2000; https://www.jstor.org/stable/4300099) that uses observations of beach morphology combined with
Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines
The U.S. Geological Survey (USGS)Coastal Change Hazards Technical Capabilities and Applications (TCA) project aims to identify areas of the nation’s coastline that are most vulnerable to extreme storms and long-term shoreline change. These assessments require coastal elevation data across diverse geographic regions and covering a time span of many years. The datasets published here...
Storm-Induced Coastal Change Forecasts: Archive of Individual Storm Events Storm-Induced Coastal Change Forecasts: Archive of Individual Storm Events
These data sets contain information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf and Atlantic coasts during real-time peak forecast conditions. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast...
Science and Products
Filter Total Items: 29
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Puerto Rico National Assessment of Hurricane-Induced Coastal Erosion Hazards: Puerto Rico
These datasets contain information on the probabilities of hurricane-induced erosion (collision, inundation, and overwash) for each 100-meter (m) section of the Puerto Rico open-ocean coastline for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model (Sallenger, 2000; https://www.jstor.org/stable/4300099) that uses observations of beach morphology combined with
Beach Profile Data Collected from Madeira Beach, Florida Beach Profile Data Collected from Madeira Beach, Florida
This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides beach profile data collected at Madeira Beach, Florida. Data were collected by a walking person equipped with a Global Positioning System receiver and a GPS antenna affixed to a surveying backpack. The horizontal position data are given in the Universal Transverse Mercator (UTM...
Storm-Induced Overwash Extent Storm-Induced Overwash Extent
The Coastal Change Hazards Technical Capabilities and Applications project at the U.S. Geological Survey (USGS) exists to understand and predict storm impacts to our nation’s coastlines. This data release defines the alongshore extent of overwash deposits, determined from aerial photograph analysis, attributed to coastal processes during storm events. Note: This data release was...
National Assessment of Hurricane-Induced Coastal Erosion Hazards National Assessment of Hurricane-Induced Coastal Erosion Hazards
These datasets contain information on the probabilities of hurricane-induced erosion (collision, inundation, and overwash) for each 1-km section of the United States sandy open-ocean coastline for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model (Sallenger, 2000; https://www.jstor.org/stable/4300099) that uses observations of beach morphology combined with
Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines
The U.S. Geological Survey (USGS)Coastal Change Hazards Technical Capabilities and Applications (TCA) project aims to identify areas of the nation’s coastline that are most vulnerable to extreme storms and long-term shoreline change. These assessments require coastal elevation data across diverse geographic regions and covering a time span of many years. The datasets published here...
Storm-Induced Coastal Change Forecasts: Archive of Individual Storm Events Storm-Induced Coastal Change Forecasts: Archive of Individual Storm Events
These data sets contain information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf and Atlantic coasts during real-time peak forecast conditions. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast...