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
USGS CoastCam at Isla Verde, Puerto Rico: 2018-2019 Timestack Imagery and Coordinate Data USGS CoastCam at Isla Verde, Puerto Rico: 2018-2019 Timestack Imagery and Coordinate Data
A digital video camera was installed at Isla Verde Beach in San Juan, Puerto Rico (PR) and faced northeast along the beach. Every hour during daylight hours, daily from February 1, 2019, to July 15, 2019, the camera collected raw video and produced snapshots and time-averaged image products. One such product is a "runup timestack". Runup timestacks are images created by sampling a cross...
USGS CoastCam at Sand Key, Florida: Timestack Imagery and Coordinate Data USGS CoastCam at Sand Key, Florida: Timestack Imagery and Coordinate Data
Two digital video cameras were installed at Sand Key, Florida (FL), facing south (camera 1) and north (camera 2) along the beach. Every hour during daylight hours, daily from 2018 to 2022, the cameras collected raw video and produced snapshots and time-averaged image products. For camera 2, one such product that is created is a "runup timestack". Runup timestacks are images created by...
USGS CoastCam at Sand Key, Florida: Calibration Data USGS CoastCam at Sand Key, Florida: Calibration Data
Two digital video cameras were installed at Sand Key, Florida (FL), facing south (camera 1) and north (camera 2) along the beach. Every hour during daylight hours, daily from 2018 to 2022, the cameras collected raw video and produced snapshots and time-averaged image products. This data release includes the necessary intrinsic orientation (IO) and extrinsic orientation (EO) calibration...
Lidar-derived Beach Volumes and Shoreline Change for New Jersey and New York Lidar-derived Beach Volumes and Shoreline Change for New Jersey and New York
This data release defines beach volumes and shoreline change for each 10-meter-wide profile along the New Jersey and New York coastline. The profiles are derived from light detection and ranging (lidar)-digital elevation models (DEMs). These data support the National Fish and Wildlife Foundation (NFWF)-funded project entitled “Monitoring Hurricane Sandy Beach and Marsh Resilience in New...
Beach Profile Data Collected From Sand Key Beach in Clearwater, Florida Beach Profile Data Collected From Sand Key Beach in Clearwater, Florida
This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a surveying backpack outfitted for surveying location and elevation data (XYZ) along...
USGS Madeira Beach, Florida CoastCam Imagery and Calibration Data USGS Madeira Beach, Florida CoastCam Imagery and Calibration Data
A digital video camera was installed at Madeira Beach, Florida (FL) and faced west along the beach. Every hour during daylight hours, daily from 2017 to 2022, the camera collected raw video and produced snapshots and time-averaged image products. This data release includes the necessary intrinsic orientation (IO) and extrinsic orientation (EO) calibration data to utilize imagery to make
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
USGS CoastCam at Isla Verde, Puerto Rico: 2018-2019 Timestack Imagery and Coordinate Data USGS CoastCam at Isla Verde, Puerto Rico: 2018-2019 Timestack Imagery and Coordinate Data
A digital video camera was installed at Isla Verde Beach in San Juan, Puerto Rico (PR) and faced northeast along the beach. Every hour during daylight hours, daily from February 1, 2019, to July 15, 2019, the camera collected raw video and produced snapshots and time-averaged image products. One such product is a "runup timestack". Runup timestacks are images created by sampling a cross...
USGS CoastCam at Sand Key, Florida: Timestack Imagery and Coordinate Data USGS CoastCam at Sand Key, Florida: Timestack Imagery and Coordinate Data
Two digital video cameras were installed at Sand Key, Florida (FL), facing south (camera 1) and north (camera 2) along the beach. Every hour during daylight hours, daily from 2018 to 2022, the cameras collected raw video and produced snapshots and time-averaged image products. For camera 2, one such product that is created is a "runup timestack". Runup timestacks are images created by...
USGS CoastCam at Sand Key, Florida: Calibration Data USGS CoastCam at Sand Key, Florida: Calibration Data
Two digital video cameras were installed at Sand Key, Florida (FL), facing south (camera 1) and north (camera 2) along the beach. Every hour during daylight hours, daily from 2018 to 2022, the cameras collected raw video and produced snapshots and time-averaged image products. This data release includes the necessary intrinsic orientation (IO) and extrinsic orientation (EO) calibration...
Lidar-derived Beach Volumes and Shoreline Change for New Jersey and New York Lidar-derived Beach Volumes and Shoreline Change for New Jersey and New York
This data release defines beach volumes and shoreline change for each 10-meter-wide profile along the New Jersey and New York coastline. The profiles are derived from light detection and ranging (lidar)-digital elevation models (DEMs). These data support the National Fish and Wildlife Foundation (NFWF)-funded project entitled “Monitoring Hurricane Sandy Beach and Marsh Resilience in New...
Beach Profile Data Collected From Sand Key Beach in Clearwater, Florida Beach Profile Data Collected From Sand Key Beach in Clearwater, Florida
This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a surveying backpack outfitted for surveying location and elevation data (XYZ) along...
USGS Madeira Beach, Florida CoastCam Imagery and Calibration Data USGS Madeira Beach, Florida CoastCam Imagery and Calibration Data
A digital video camera was installed at Madeira Beach, Florida (FL) and faced west along the beach. Every hour during daylight hours, daily from 2017 to 2022, the camera collected raw video and produced snapshots and time-averaged image products. This data release includes the necessary intrinsic orientation (IO) and extrinsic orientation (EO) calibration data to utilize imagery to make
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...