Rachel Elizabeth Henderson
(She/her)I conduct research at USGS within the Coastal and Marine Hazards and Resources Program focused on shoreline change - from data collection to the development of software that measures change.
I am a Physical Scientist at the Woods Hole Coastal and Marine Science Center with the U.S. Geological Survey. I oversee projects that define shorelines and measure shoreline change. I am interested in maintaining foundational shoreline datasets that support more complex models of coastal change. My focus recently has been helping migrate the USGS's Digital Shoreline Analysis System software (an application that calculates shoreline or boundary change over time) to a platform agnostic application that can run without the need for a licensed GIS software, supporting the needs of the global user base for change analysis.
Professional Experience
2023 - present, Physical Scientist, USGS Woods Hole Coastal and Marine Science Center
2008- 2023, Research Scientist, Contractor to the USGS, Woods Hole Coastal and Marine Science Center
Education and Certifications
2007, M.S. Environmental Science, Department of Geosciences, University of Rhode Island
2004, B.S. Geology and Environmental Science University of Connecticut
Science and Products
Digital Shoreline Analysis System (DSAS)
Software for calculating positional boundary change over time The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions...
Filter Total Items: 17
USGS National Shoreline Change - 2017 lidar-derived mean high water shoreline and associated shoreline change data for coastal North Carolina
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These dat
Assateague Island Seabeach Amaranth Survey Data — 2001 to 2018
Seabeach amaranth (Amaranthus pumilus) is a plant species that was once prevalent on beaches of the U.S. mid-Atlantic coast but is now listed as threatened by the U.S. Fish and Wildlife Service. For much of the 20th century, seabeach amaranth was absent from the mid-Atlantic coast and thought to be extinct, presumably as a result of increased development and recreational pressure. One region wher
USGS National Shoreline Change - A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These dat
USGS National Shoreline Change — A GIS compilation of vector shorelines and associated shoreline change data for coastal Virginia from the 1840s to 2010s
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These dat
Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia
Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes
Seabeach amaranth presence-absence and barrier island geomorphology metrics as relates to shorebird habitat for Assateague Island National Seashore — 2008, 2010, and 2014
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this probl
Puerto Rico shoreline change: A GIS compilation of shorelines, baselines, intersects, and change rates calculated using the Digital Shoreline Analysis system version 5.1 (ver. 2.0, March 2023)
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change.
A GIS Compilation of Vector Shorelines for Puerto Rico from 2015 to 2018
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the Digital Shoreline Analysis System software to compute their rates of change. Keeping a record of h
Historical Shorelines for Puerto Rico from 1901 to 1987
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photograph or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the Digital Shoreline Analysis System software (v5.1) to compute their rates of change. Keeping a recor
USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts.
During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. T
Preliminary estimates of forecasted shoreline positions and associated uncertainties for Florida and Georgia
During Hurricane Irma, Florida and Georgia experienced substantial impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses from hurricanes result in increased vulnerability of coastal regions, including densely populated areas. Erosion may put critical infrastructure at risk of future flooding and may cause economic loss. The U.S. Geological Survey (USGS) Co
Massachusetts Shoreline Change Project, 2021 Update: A GIS Compilation of Shoreline Change Rates Calculated Using Digital Shoreline Analysis System Version 5.1, With Supplementary Intersects and Baselines for Massachusetts
The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994
Filter Total Items: 15
National shoreline change—Summary statistics for vector shorelines from the early 1900s to the 2010s for Puerto Rico
The U.S. Geological Survey (USGS) maintains a database of historical shoreline positions for the United States coasts derived from historical sources, such as aerial photographs or topographic surveys, and contemporary sources, such as modern orthophotography, light detection and ranging (lidar) point clouds, and digital elevation models. These shorelines are compiled within a geographic informati
Authors
Rachel E. Henderson, Julia L. Heslin, Emily A. Himmelstoss, Maritza Barreto-Orta
Development and application of a coastal change likelihood assessment for the northeast region, Maine to Virginia
Coastal resources are increasingly affected by erosion, extreme weather events, sea level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying effects on coastal landscapes because of the compounding of geologic, oceanographic, ecologic, and socioeconomic factors that exist at a given location. An assessment framework is introduced in this report
Authors
Elizabeth A. Pendleton, Erika Lentz, Travis K. Sterne, Rachel E. Henderson
Digital Shoreline Analysis System (DSAS) version 5.1 user guide
The Digital Shoreline Analysis System version 5 software is an add-in to Esri ArcGIS Desktop version 10.4–10.7 that enables a user to calculate rate-of-change statistics from a time series of vector shoreline positions. The Digital Shoreline Analysis System provides an automated method for establishing measurement locations, performs rate calculations, provides the statistical data necessary to as
Authors
Emily A. Himmelstoss, Rachel E. Henderson, Meredith G. Kratzmann, Amy S. Farris
Forecasting future beach width- A case study along the Florida Atlantic coast
Historical cross-shore positions of the shoreline and dune base were used as inputs for a Kalman filter algorithm to forecast the positions of these features in the year 2028. The beach width was also computed as the cross-shore distance between the forecasted 2028 shoreline and dune-base positions. While it does not evaluate the suitability of a nesting beach or identify optimal nesting habitat,
Authors
Joseph W. Long, Rachel E. Henderson, David M. Thompson
Digital Shoreline Analysis System (DSAS) version 5.0 user guide
OverviewThe Digital Shoreline Analysis System (DSAS) is a freely available software application that works within the Esri Geographic Information System (ArcGIS) software. DSAS computes rate-of-change statistics for a time series of shoreline vector data. DSAS version 5.0 (v5.0) was released in December 2018 and has been tested for compatibility with ArcGIS versions 10.4 and 10.5. It is supported
Authors
Emily A. Himmelstoss, Rachel E. Henderson, Meredith G. Kratzmann, Amy S. Farris
Assessing the impact of open-ocean and back-barrier shoreline change on Dauphin Island, Alabama, at multiple time scales over the last 75 years
Dauphin Island and Little Dauphin Island, collectively, make up a geomorphically complex barrier island system located along Alabama’s southern coast, separating Mississippi Sound from the Gulf of Mexico and Mobile Bay. The barrier island system provides numerous economical (tourism, fisheries) and natural (habitat for migratory birds, natural protection of inland and coastal areas from storms) be
Authors
Christopher G. Smith, Joseph W. Long, Rachel E. Henderson, Paul R. Nelson
Characterizing storm response and recovery using the beach change envelope: Fire Island, New York
Hurricane Sandy at Fire Island, New York presented unique challenges in the quantification of storm impacts using traditional metrics of coastal change, wherein measured changes (shoreline, dune crest, and volume change) did not fully reflect the substantial changes in sediment redistribution following the storm. We used a time series of beach profile data at Fire Island, New York to define a new
Authors
Owen T. Brenner, Erika Lentz, Cheryl J. Hapke, Rachel Henderson, Kathleen Wilson, Timothy Nelson
UAS-SfM for coastal research: Geomorphic feature extraction and land cover classification from high-resolution elevation and optical imagery
The vulnerability of coastal systems to hazards such as storms and sea-level rise is typically characterized using a combination of ground and manned airborne systems that have limited spatial or temporal scales. Structure-from-motion (SfM) photogrammetry applied to imagery acquired by unmanned aerial systems (UAS) offers a rapid and inexpensive means to produce high-resolution topographic and vis
Authors
Emily J. Sturdivant, Erika Lentz, E. Robert Thieler, Amy S. Farris, Kathryn M. Weber, David P. Remsen, Simon Miner, Rachel E. Henderson
Morphologic evolution of the wilderness area breach at Fire Island, New York—2012–15
IntroductionHurricane Sandy, which made landfall on October 29, 2012, near Atlantic City, New Jersey, had a significant impact on the coastal system along the south shore of Long Island, New York. A record significant wave height of 9.6 meters (m) was measured at wave buoy 44025, approximately 48 kilometers offshore of Fire Island, New York. Surge and runup during the storm resulted in extensive b
Authors
Cheryl J. Hapke, Timothy R. Nelson, Rachel E. Henderson, Owen T. Brenner, Jennifer L. Miselis
Coastal bathymetry data collected in May 2015 from Fire Island, New York—Wilderness breach and shoreface
Scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island from May 6-20, 2015. The USGS is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B. During this study, b
Authors
Timothy R. Nelson, Jennifer L. Miselis, Cheryl J. Hapke, Owen T. Brenner, Rachel E. Henderson, Billy J. Reynolds, Kathleen E. Wilson
Bathymetry data collected in October 2014 from Fire Island, New York—The wilderness breach, shoreface, and bay
Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the wilderness breach, which formed in October 2012 during Hurricane Sandy,
Authors
Timothy R. Nelson, Jennifer L. Miselis, Cheryl J. Hapke, Owen T. Brenner, Rachel E. Henderson, Billy J. Reynolds, Kathleen E. Wilson
Decoupling processes and scales of shoreline morphodynamics
Behavior of coastal systems on time scales ranging from single storm events to years and decades is controlled by both small-scale sediment transport processes and large-scale geologic, oceanographic, and morphologic processes. Improved understanding of coastal behavior at multiple time scales is required for refining models that predict potential erosion hazards and for coastal management plannin
Authors
Cheryl J. Hapke, Nathaniel G. Plant, Rachel E. Henderson, William C. Schwab, Timothy R. Nelson
Digital Shoreline Analysis System (version 6)
The Digital Shoreline Analysis System (version 6) is a stand-alone desktop application that complements a Geographic Information System (GIS). The DSAS software requires users to input a reference baseline and compilation of shoreline positions to generate measurement transects and shoreline intersections used to calculate rate-of-change statistics. DSAS provides an automated method for establish
Digital Shoreline Analysis System
Digital Shoreline Analysis System version 5.0
Science and Products
Digital Shoreline Analysis System (DSAS)
Software for calculating positional boundary change over time The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions...
Filter Total Items: 17
USGS National Shoreline Change - 2017 lidar-derived mean high water shoreline and associated shoreline change data for coastal North Carolina
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These dat
Assateague Island Seabeach Amaranth Survey Data — 2001 to 2018
Seabeach amaranth (Amaranthus pumilus) is a plant species that was once prevalent on beaches of the U.S. mid-Atlantic coast but is now listed as threatened by the U.S. Fish and Wildlife Service. For much of the 20th century, seabeach amaranth was absent from the mid-Atlantic coast and thought to be extinct, presumably as a result of increased development and recreational pressure. One region wher
USGS National Shoreline Change - A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These dat
USGS National Shoreline Change — A GIS compilation of vector shorelines and associated shoreline change data for coastal Virginia from the 1840s to 2010s
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These dat
Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia
Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes
Seabeach amaranth presence-absence and barrier island geomorphology metrics as relates to shorebird habitat for Assateague Island National Seashore — 2008, 2010, and 2014
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this probl
Puerto Rico shoreline change: A GIS compilation of shorelines, baselines, intersects, and change rates calculated using the Digital Shoreline Analysis system version 5.1 (ver. 2.0, March 2023)
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change.
A GIS Compilation of Vector Shorelines for Puerto Rico from 2015 to 2018
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the Digital Shoreline Analysis System software to compute their rates of change. Keeping a record of h
Historical Shorelines for Puerto Rico from 1901 to 1987
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photograph or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the Digital Shoreline Analysis System software (v5.1) to compute their rates of change. Keeping a recor
USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts.
During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. T
Preliminary estimates of forecasted shoreline positions and associated uncertainties for Florida and Georgia
During Hurricane Irma, Florida and Georgia experienced substantial impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses from hurricanes result in increased vulnerability of coastal regions, including densely populated areas. Erosion may put critical infrastructure at risk of future flooding and may cause economic loss. The U.S. Geological Survey (USGS) Co
Massachusetts Shoreline Change Project, 2021 Update: A GIS Compilation of Shoreline Change Rates Calculated Using Digital Shoreline Analysis System Version 5.1, With Supplementary Intersects and Baselines for Massachusetts
The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994
Filter Total Items: 15
National shoreline change—Summary statistics for vector shorelines from the early 1900s to the 2010s for Puerto Rico
The U.S. Geological Survey (USGS) maintains a database of historical shoreline positions for the United States coasts derived from historical sources, such as aerial photographs or topographic surveys, and contemporary sources, such as modern orthophotography, light detection and ranging (lidar) point clouds, and digital elevation models. These shorelines are compiled within a geographic informati
Authors
Rachel E. Henderson, Julia L. Heslin, Emily A. Himmelstoss, Maritza Barreto-Orta
Development and application of a coastal change likelihood assessment for the northeast region, Maine to Virginia
Coastal resources are increasingly affected by erosion, extreme weather events, sea level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying effects on coastal landscapes because of the compounding of geologic, oceanographic, ecologic, and socioeconomic factors that exist at a given location. An assessment framework is introduced in this report
Authors
Elizabeth A. Pendleton, Erika Lentz, Travis K. Sterne, Rachel E. Henderson
Digital Shoreline Analysis System (DSAS) version 5.1 user guide
The Digital Shoreline Analysis System version 5 software is an add-in to Esri ArcGIS Desktop version 10.4–10.7 that enables a user to calculate rate-of-change statistics from a time series of vector shoreline positions. The Digital Shoreline Analysis System provides an automated method for establishing measurement locations, performs rate calculations, provides the statistical data necessary to as
Authors
Emily A. Himmelstoss, Rachel E. Henderson, Meredith G. Kratzmann, Amy S. Farris
Forecasting future beach width- A case study along the Florida Atlantic coast
Historical cross-shore positions of the shoreline and dune base were used as inputs for a Kalman filter algorithm to forecast the positions of these features in the year 2028. The beach width was also computed as the cross-shore distance between the forecasted 2028 shoreline and dune-base positions. While it does not evaluate the suitability of a nesting beach or identify optimal nesting habitat,
Authors
Joseph W. Long, Rachel E. Henderson, David M. Thompson
Digital Shoreline Analysis System (DSAS) version 5.0 user guide
OverviewThe Digital Shoreline Analysis System (DSAS) is a freely available software application that works within the Esri Geographic Information System (ArcGIS) software. DSAS computes rate-of-change statistics for a time series of shoreline vector data. DSAS version 5.0 (v5.0) was released in December 2018 and has been tested for compatibility with ArcGIS versions 10.4 and 10.5. It is supported
Authors
Emily A. Himmelstoss, Rachel E. Henderson, Meredith G. Kratzmann, Amy S. Farris
Assessing the impact of open-ocean and back-barrier shoreline change on Dauphin Island, Alabama, at multiple time scales over the last 75 years
Dauphin Island and Little Dauphin Island, collectively, make up a geomorphically complex barrier island system located along Alabama’s southern coast, separating Mississippi Sound from the Gulf of Mexico and Mobile Bay. The barrier island system provides numerous economical (tourism, fisheries) and natural (habitat for migratory birds, natural protection of inland and coastal areas from storms) be
Authors
Christopher G. Smith, Joseph W. Long, Rachel E. Henderson, Paul R. Nelson
Characterizing storm response and recovery using the beach change envelope: Fire Island, New York
Hurricane Sandy at Fire Island, New York presented unique challenges in the quantification of storm impacts using traditional metrics of coastal change, wherein measured changes (shoreline, dune crest, and volume change) did not fully reflect the substantial changes in sediment redistribution following the storm. We used a time series of beach profile data at Fire Island, New York to define a new
Authors
Owen T. Brenner, Erika Lentz, Cheryl J. Hapke, Rachel Henderson, Kathleen Wilson, Timothy Nelson
UAS-SfM for coastal research: Geomorphic feature extraction and land cover classification from high-resolution elevation and optical imagery
The vulnerability of coastal systems to hazards such as storms and sea-level rise is typically characterized using a combination of ground and manned airborne systems that have limited spatial or temporal scales. Structure-from-motion (SfM) photogrammetry applied to imagery acquired by unmanned aerial systems (UAS) offers a rapid and inexpensive means to produce high-resolution topographic and vis
Authors
Emily J. Sturdivant, Erika Lentz, E. Robert Thieler, Amy S. Farris, Kathryn M. Weber, David P. Remsen, Simon Miner, Rachel E. Henderson
Morphologic evolution of the wilderness area breach at Fire Island, New York—2012–15
IntroductionHurricane Sandy, which made landfall on October 29, 2012, near Atlantic City, New Jersey, had a significant impact on the coastal system along the south shore of Long Island, New York. A record significant wave height of 9.6 meters (m) was measured at wave buoy 44025, approximately 48 kilometers offshore of Fire Island, New York. Surge and runup during the storm resulted in extensive b
Authors
Cheryl J. Hapke, Timothy R. Nelson, Rachel E. Henderson, Owen T. Brenner, Jennifer L. Miselis
Coastal bathymetry data collected in May 2015 from Fire Island, New York—Wilderness breach and shoreface
Scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island from May 6-20, 2015. The USGS is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B. During this study, b
Authors
Timothy R. Nelson, Jennifer L. Miselis, Cheryl J. Hapke, Owen T. Brenner, Rachel E. Henderson, Billy J. Reynolds, Kathleen E. Wilson
Bathymetry data collected in October 2014 from Fire Island, New York—The wilderness breach, shoreface, and bay
Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the wilderness breach, which formed in October 2012 during Hurricane Sandy,
Authors
Timothy R. Nelson, Jennifer L. Miselis, Cheryl J. Hapke, Owen T. Brenner, Rachel E. Henderson, Billy J. Reynolds, Kathleen E. Wilson
Decoupling processes and scales of shoreline morphodynamics
Behavior of coastal systems on time scales ranging from single storm events to years and decades is controlled by both small-scale sediment transport processes and large-scale geologic, oceanographic, and morphologic processes. Improved understanding of coastal behavior at multiple time scales is required for refining models that predict potential erosion hazards and for coastal management plannin
Authors
Cheryl J. Hapke, Nathaniel G. Plant, Rachel E. Henderson, William C. Schwab, Timothy R. Nelson
Digital Shoreline Analysis System (version 6)
The Digital Shoreline Analysis System (version 6) is a stand-alone desktop application that complements a Geographic Information System (GIS). The DSAS software requires users to input a reference baseline and compilation of shoreline positions to generate measurement transects and shoreline intersections used to calculate rate-of-change statistics. DSAS provides an automated method for establish
Digital Shoreline Analysis System
Digital Shoreline Analysis System version 5.0