Where are coastal landscapes likely to change?
Elizabeth A Pendleton
I am a geologist at the Woods Hole Coastal and Marine Science Center. I am most interested in exploring the complexities, compounding, dependencies, and uncertainties that exist among climate and coastal hazards and landscape change. I rely on spatial analysis, mapping, and machine learning techniques to synthesize coastal datasets into decision support science and products
Research
- Development and Application of a Coastal Change Likelihood Assessment for the N…
- Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia
- Shallow Geology, Sea-Floor Texture, and Physiographic Zones of the Inner Contin…
- Optimizing an inner-continental shelf geologic framework investigation through …
- Sand ridge morphology and bedform migration patterns derived from bathymetry an…
- Sea-floor texture and physiographic zones of the inner continental shelf from S…
I am a project coordinator for the Future Landscape Adaptation and Coastal Change project, which provides user-focused, decision-support information through the integration of data and knowledge in multidisciplinary probabilistic frameworks and assessments. The Coastal Change Likelihood assessment is an effort that I lead within this project space that will supersede the popular but outdated Coastal Vulnerability Index (CVI). This update incorporates technological updates and improvements in coastal data source quality, resolution, data processing, stakeholder engagement, and product usability.
I am also a USGS peer support worker (PSW). The training and learning opportunities that the PSW program provides has helped me, professionally and personally, from learning more inclusive language skills to recognizing the value of nuerodiversity and self-care.
Professional Experience
Geologist, U.S. Geological Survey, Woods Hole Coastal and Marine Science Center, 2002 - Present.
Education and Certifications
M.A. Earth Science, Boston University, 2002.
B.S. Marine Science, Coastal Carolina University, 1999.
Science and Products
Future Landscape Adaptation and Coastal Change (FLACC)
Coastal Change Likelihood
Coastal Vulnerability in National Park Units
Sea-Level Rise Hazards and Decision Support
Geologic Mapping of the Massachusetts Seafloor
Hurricane Sandy Response- Linking the Delmarva Peninsula's Geologic Framework to Coastal Vulnerability
Sea Floor Mapping Group
Aerial Imaging and Mapping
Relative Coastal Vulnerability Assessment of National Park Units to Sea-Level Rise
Topographic and multispectral reflectance products, aerial imagery, ground spectra, vegetation, and associated GPS data collected during uncrewed aircraft system operations - Dog Head Marsh at South Cape Beach, Mashpee, MA, October 7-8, 2021
Geospatial data layers of shallow geology from the inner continental shelf of the Delmarva Peninsula, including Maryland and Virginia state waters
Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia
Aerial imagery and ground control points collected during an uncrewed aerial systems (UAS) survey at Plum Island Estuary and Parker River NWR (PIEPR), November 14, 2017 and March 28, 2019
Aerial Imagery collected during unoccupied aircraft systems (UAS) operations in Massachusetts and Maine between March 2018 - September 2018
Sea-Floor Sediment and Imagery Data Collected in Nantucket Sound, Massachusetts, 2016 and 2017
Aerial imagery and photogrammetric products from unmanned aerial systems (UAS) flights over the Lake Ontario shoreline at Chimney Bluffs, New York, July 14, 2017
Aerial imagery from unmanned aerial systems (UAS) flights: Plum Island Estuary and Parker River NWR (PIEPR), February 27th, 2018
Geospatial Data Layers of Shallow Geology, Sea-Floor Texture, and Physiographic Zones from the Inner Continental Shelf of Martha's Vineyard from Aquinnah to Wasque Point, and Nantucket from Eel Point to Great Point
USGS_Delmarva_SedTexture_Geomorph: Sediment Texture and Geomorphology of the Sea Floor from Fenwick Island, Maryland to Fisherman's Island, Virginia (polygon shapefile, Geographic, WGS84)
High-resolution geophysical data collected along the Delmarva Peninsula 2015, U.S. Geological Survey Field Activity 2015-001-FA
High-resolution geophysical data collected along the Delmarva Peninsula 2014, USGS Field Activity 2014-002-FA
Where are coastal landscapes likely to change?
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. Here is the CCL map for Chesapeake, Va.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. Here is the CCL map for Chesapeake, Va.
The assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change to produce the initial fabric layer.
The assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change to produce the initial fabric layer.
Data defining the drivers of change that impact the coast, such as waves and flooding are synthesized in hazards layers.
Data defining the drivers of change that impact the coast, such as waves and flooding are synthesized in hazards layers.
The CCL assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change, with data defining the drivers of change that impact the coast, such as waves and flooding. These data types are known as fabric and hazards, respectively.
The CCL assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change, with data defining the drivers of change that impact the coast, such as waves and flooding. These data types are known as fabric and hazards, respectively.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. The CCL data displayed here are for the mid-Atlantic Bight, and extend from the shoreline to 10m elevation inland.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. The CCL data displayed here are for the mid-Atlantic Bight, and extend from the shoreline to 10m elevation inland.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast coastline in the next decade. Pictured here is coastal change likelihood on Cape Cod.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast coastline in the next decade. Pictured here is coastal change likelihood on Cape Cod.
Department of Interior UAS pilots from left to right – Elizabeth Pendleton (USGS, Woods Hole, MA), Colin Milone (Office of Aviation Services, AK), John Vogel (USGS; Flagstaff, AZ), Sandy Brosnahan (USGS, Woods Hole, MA), Brandon Forbes (USGS; Tucson, AZ), Chris Holmquist-Johnson (USGS; Fort Collins, CO),&nb
Department of Interior UAS pilots from left to right – Elizabeth Pendleton (USGS, Woods Hole, MA), Colin Milone (Office of Aviation Services, AK), John Vogel (USGS; Flagstaff, AZ), Sandy Brosnahan (USGS, Woods Hole, MA), Brandon Forbes (USGS; Tucson, AZ), Chris Holmquist-Johnson (USGS; Fort Collins, CO),&nb
USGS Unmanned Aerial Systems (UAS) pilot, Elizabeth Pendleton, setting a target in Great Marsh, Sandy Neck Beach, Cape Cod, Massachusetts
USGS Unmanned Aerial Systems (UAS) pilot, Elizabeth Pendleton, setting a target in Great Marsh, Sandy Neck Beach, Cape Cod, Massachusetts
Woods Hole Coastal and Marine Science Center Unmanned Aerial Systems (UAS) pilots Sandy Brosnahan (left) and Elizabeth Pendleton conduct a drone flight from atop a dune at Sandy Neck (Cape Cod).
Woods Hole Coastal and Marine Science Center Unmanned Aerial Systems (UAS) pilots Sandy Brosnahan (left) and Elizabeth Pendleton conduct a drone flight from atop a dune at Sandy Neck (Cape Cod).
Woods Hole Coastal and Marine Science Center's Aerial Imaging and Mapping Unmanned Aerial Systems (UAS) pilots, Emily Sturdivant (left) and Elizabeth Pendleton (right) working the night shift in Hawaii at the Kileaua volcano site.
Woods Hole Coastal and Marine Science Center's Aerial Imaging and Mapping Unmanned Aerial Systems (UAS) pilots, Emily Sturdivant (left) and Elizabeth Pendleton (right) working the night shift in Hawaii at the Kileaua volcano site.
Providing situational awareness at night, Elizabeth Pendleton, Sandy Brosnahan, and Emily Sturdivant prepare for a UAS take-off
Providing situational awareness at night, Elizabeth Pendleton, Sandy Brosnahan, and Emily Sturdivant prepare for a UAS take-off
Elizabeth Pendleton and Seth Ackerman of the Woods Hole Coastal and Marine Science Center at A-450 drone pilot training in Gainesville, Florida in January 2018. Drone pilot training was provided by the DOI Office of Aviation Services (OAS), and was also attended by employees from USGS water and volcano centers, other DOI agencies, and the US Forest Service.
Elizabeth Pendleton and Seth Ackerman of the Woods Hole Coastal and Marine Science Center at A-450 drone pilot training in Gainesville, Florida in January 2018. Drone pilot training was provided by the DOI Office of Aviation Services (OAS), and was also attended by employees from USGS water and volcano centers, other DOI agencies, and the US Forest Service.
Elizabeth Pendleton describes USGS work to map the Massachusetts seafloor to State Senator Viriato “Vinny” deMacedo.
Elizabeth Pendleton describes USGS work to map the Massachusetts seafloor to State Senator Viriato “Vinny” deMacedo.
Development and application of a coastal change likelihood assessment for the northeast region, Maine to Virginia
Seismic stratigraphic framework of the continental shelf offshore Delmarva, U.S.A.: Implications for Mid-Atlantic Bight evolution since the Pliocene
Optimizing an inner-continental shelf geologic framework investigation through data repurposing and machine learning
Shallow geology, sea-floor texture, and physiographic zones of the inner continental shelf from Aquinnah to Wasque Point, Martha’s Vineyard, and Eel Point to Great Point, Nantucket, Massachusetts
Sand ridge morphology and bedform migration patterns derived from bathymetry and backscatter on the inner-continental shelf offshore of Assateague Island, USA
Shallow geology, sea-floor texture, and physiographic zones of Vineyard and western Nantucket Sounds, Massachusetts
Sea-floor texture and physiographic zones of the inner continental shelf from Salisbury to Nahant, Massachusetts, including the Merrimack Embayment and Western Massachusetts Bay
Shallow geology, sea-floor texture, and physiographic zones of Buzzards Bay, Massachusetts
National Oceanic and Atmospheric Administration hydrographic survey data used in a U.S. Geological Survey regional geologic framework study along the Delmarva Peninsula
High-resolution swath interferometric data collected within Muskeget Channel, Massachusetts
Using a Bayesian Network to predict shore-line change vulnerability to sea-level rise for the coasts of the United States
High-resolution geophysical data collected aboard the U.S. Geological Survey research vessel Rafael to supplement existing datasets from Buzzards Bay and Vineyard Sound, Massachusetts
Science and Products
Future Landscape Adaptation and Coastal Change (FLACC)
Coastal Change Likelihood
Coastal Vulnerability in National Park Units
Sea-Level Rise Hazards and Decision Support
Geologic Mapping of the Massachusetts Seafloor
Hurricane Sandy Response- Linking the Delmarva Peninsula's Geologic Framework to Coastal Vulnerability
Sea Floor Mapping Group
Aerial Imaging and Mapping
Relative Coastal Vulnerability Assessment of National Park Units to Sea-Level Rise
Topographic and multispectral reflectance products, aerial imagery, ground spectra, vegetation, and associated GPS data collected during uncrewed aircraft system operations - Dog Head Marsh at South Cape Beach, Mashpee, MA, October 7-8, 2021
Geospatial data layers of shallow geology from the inner continental shelf of the Delmarva Peninsula, including Maryland and Virginia state waters
Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia
Aerial imagery and ground control points collected during an uncrewed aerial systems (UAS) survey at Plum Island Estuary and Parker River NWR (PIEPR), November 14, 2017 and March 28, 2019
Aerial Imagery collected during unoccupied aircraft systems (UAS) operations in Massachusetts and Maine between March 2018 - September 2018
Sea-Floor Sediment and Imagery Data Collected in Nantucket Sound, Massachusetts, 2016 and 2017
Aerial imagery and photogrammetric products from unmanned aerial systems (UAS) flights over the Lake Ontario shoreline at Chimney Bluffs, New York, July 14, 2017
Aerial imagery from unmanned aerial systems (UAS) flights: Plum Island Estuary and Parker River NWR (PIEPR), February 27th, 2018
Geospatial Data Layers of Shallow Geology, Sea-Floor Texture, and Physiographic Zones from the Inner Continental Shelf of Martha's Vineyard from Aquinnah to Wasque Point, and Nantucket from Eel Point to Great Point
USGS_Delmarva_SedTexture_Geomorph: Sediment Texture and Geomorphology of the Sea Floor from Fenwick Island, Maryland to Fisherman's Island, Virginia (polygon shapefile, Geographic, WGS84)
High-resolution geophysical data collected along the Delmarva Peninsula 2015, U.S. Geological Survey Field Activity 2015-001-FA
High-resolution geophysical data collected along the Delmarva Peninsula 2014, USGS Field Activity 2014-002-FA
Where are coastal landscapes likely to change?
Where are coastal landscapes likely to change?
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. Here is the CCL map for Chesapeake, Va.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. Here is the CCL map for Chesapeake, Va.
The assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change to produce the initial fabric layer.
The assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change to produce the initial fabric layer.
Data defining the drivers of change that impact the coast, such as waves and flooding are synthesized in hazards layers.
Data defining the drivers of change that impact the coast, such as waves and flooding are synthesized in hazards layers.
The CCL assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change, with data defining the drivers of change that impact the coast, such as waves and flooding. These data types are known as fabric and hazards, respectively.
The CCL assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change, with data defining the drivers of change that impact the coast, such as waves and flooding. These data types are known as fabric and hazards, respectively.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. The CCL data displayed here are for the mid-Atlantic Bight, and extend from the shoreline to 10m elevation inland.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. The CCL data displayed here are for the mid-Atlantic Bight, and extend from the shoreline to 10m elevation inland.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast coastline in the next decade. Pictured here is coastal change likelihood on Cape Cod.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast coastline in the next decade. Pictured here is coastal change likelihood on Cape Cod.
Department of Interior UAS pilots from left to right – Elizabeth Pendleton (USGS, Woods Hole, MA), Colin Milone (Office of Aviation Services, AK), John Vogel (USGS; Flagstaff, AZ), Sandy Brosnahan (USGS, Woods Hole, MA), Brandon Forbes (USGS; Tucson, AZ), Chris Holmquist-Johnson (USGS; Fort Collins, CO),&nb
Department of Interior UAS pilots from left to right – Elizabeth Pendleton (USGS, Woods Hole, MA), Colin Milone (Office of Aviation Services, AK), John Vogel (USGS; Flagstaff, AZ), Sandy Brosnahan (USGS, Woods Hole, MA), Brandon Forbes (USGS; Tucson, AZ), Chris Holmquist-Johnson (USGS; Fort Collins, CO),&nb
USGS Unmanned Aerial Systems (UAS) pilot, Elizabeth Pendleton, setting a target in Great Marsh, Sandy Neck Beach, Cape Cod, Massachusetts
USGS Unmanned Aerial Systems (UAS) pilot, Elizabeth Pendleton, setting a target in Great Marsh, Sandy Neck Beach, Cape Cod, Massachusetts
Woods Hole Coastal and Marine Science Center Unmanned Aerial Systems (UAS) pilots Sandy Brosnahan (left) and Elizabeth Pendleton conduct a drone flight from atop a dune at Sandy Neck (Cape Cod).
Woods Hole Coastal and Marine Science Center Unmanned Aerial Systems (UAS) pilots Sandy Brosnahan (left) and Elizabeth Pendleton conduct a drone flight from atop a dune at Sandy Neck (Cape Cod).
Woods Hole Coastal and Marine Science Center's Aerial Imaging and Mapping Unmanned Aerial Systems (UAS) pilots, Emily Sturdivant (left) and Elizabeth Pendleton (right) working the night shift in Hawaii at the Kileaua volcano site.
Woods Hole Coastal and Marine Science Center's Aerial Imaging and Mapping Unmanned Aerial Systems (UAS) pilots, Emily Sturdivant (left) and Elizabeth Pendleton (right) working the night shift in Hawaii at the Kileaua volcano site.
Providing situational awareness at night, Elizabeth Pendleton, Sandy Brosnahan, and Emily Sturdivant prepare for a UAS take-off
Providing situational awareness at night, Elizabeth Pendleton, Sandy Brosnahan, and Emily Sturdivant prepare for a UAS take-off
Elizabeth Pendleton and Seth Ackerman of the Woods Hole Coastal and Marine Science Center at A-450 drone pilot training in Gainesville, Florida in January 2018. Drone pilot training was provided by the DOI Office of Aviation Services (OAS), and was also attended by employees from USGS water and volcano centers, other DOI agencies, and the US Forest Service.
Elizabeth Pendleton and Seth Ackerman of the Woods Hole Coastal and Marine Science Center at A-450 drone pilot training in Gainesville, Florida in January 2018. Drone pilot training was provided by the DOI Office of Aviation Services (OAS), and was also attended by employees from USGS water and volcano centers, other DOI agencies, and the US Forest Service.
Elizabeth Pendleton describes USGS work to map the Massachusetts seafloor to State Senator Viriato “Vinny” deMacedo.
Elizabeth Pendleton describes USGS work to map the Massachusetts seafloor to State Senator Viriato “Vinny” deMacedo.