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DSAS Software
DSAS Software
DSAS Software

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.

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.

DSAS v6.0 infographic
DSAS v6.0 Infographic
DSAS v6.0 Infographic
DSAS v6.0 Infographic

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.

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.

DSAS interface
DSAS v6.0 Interface
DSAS v6.0 Interface
DSAS v6.0 Interface

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.

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 search page of the Coastal Science Navigator with products on the right and filters on the left
Coastal Science Navigator filter search
Coastal Science Navigator filter search
Coastal Science Navigator filter search

Filter search page of the Coastal Science Navigator--a gateway to USGS Coastal Change Hazards resources and assists users in finding products and tools that will meet their specific needs.

Filter search page of the Coastal Science Navigator--a gateway to USGS Coastal Change Hazards resources and assists users in finding products and tools that will meet their specific needs.

Guided Search screen of the Coastal Science Navigator
Coastal Science Navigator guided search
Coastal Science Navigator guided search
Coastal Science Navigator guided search

Question 1 of the Guided Search function in the Coastal Science Navigator--a gateway to USGS Coastal Change Hazards resources and assists users in finding products and tools that will meet their specific needs.

Question 1 of the Guided Search function in the Coastal Science Navigator--a gateway to USGS Coastal Change Hazards resources and assists users in finding products and tools that will meet their specific needs.

group of people smiling for group photo in building with USGS on the wall
COAWST Training
COAWST Training
COAWST Training

On January 17-18, 2024, John Warner provided a two-day training for the COAWST (Coupled Ocean-Atmosphere-Waves-Sediment Transport) modeling system.

On January 17-18, 2024, John Warner provided a two-day training for the COAWST (Coupled Ocean-Atmosphere-Waves-Sediment Transport) modeling system.

Four photos of various coastal environments
Coasts
Coasts
Coasts

USGS scientists working on the Future Landscape Adaptation and Coastal Change (FLACC) project bring together information on coastal environments, processes, and climate drivers to evaluate where and when future changes along our Nation’s coast may occur and what they may look like.

USGS scientists working on the Future Landscape Adaptation and Coastal Change (FLACC) project bring together information on coastal environments, processes, and climate drivers to evaluate where and when future changes along our Nation’s coast may occur and what they may look like.

Four photos. Two people on beach with drone, a wetland, people on beach shaking hands, and cliff-backed beach
Coastal Change
Coastal Change
Coastal Change

USGS scientists working on the Future Landscape Adaptation and Coastal Change (FLACC) project bring together information on coastal environments, processes, and climate drivers to evaluate where and when future changes along our Nation’s coast may occur and what they may look like.

USGS scientists working on the Future Landscape Adaptation and Coastal Change (FLACC) project bring together information on coastal environments, processes, and climate drivers to evaluate where and when future changes along our Nation’s coast may occur and what they may look like.

person in yellow hat and blue waders kneels on ground and measures depth of hole in ground
Installing Sensors in Wellfleet, MA
Installing Sensors in Wellfleet, MA
Installing Sensors in Wellfleet, MA

Scientists at the USGS are installing sensors in Wellfleet MA, part of the Cape Cod National Seashore to evaluate the long-term and short-term chemical and geomorphic changes within wetlands. 

Scientists at the USGS are installing sensors in Wellfleet MA, part of the Cape Cod National Seashore to evaluate the long-term and short-term chemical and geomorphic changes within wetlands. 

a sensor sits halfway out of the ground with two tubes sticking out of it surrounded by grass
Installing sensors in Wellfleet, MA
Installing sensors in Wellfleet, MA
Installing sensors in Wellfleet, MA

Scientists at the USGS are installing sensors in Wellfleet MA, part of the Cape Cod National Seashore to evaluate the long-term and short-term chemical and geomorphic changes within wetlands. 

Scientists at the USGS are installing sensors in Wellfleet MA, part of the Cape Cod National Seashore to evaluate the long-term and short-term chemical and geomorphic changes within wetlands. 

William Danforth out at sea on the R/V Falkor.
William Danforth Staff Profile Photo
William Danforth Staff Profile Photo
William Danforth Staff Profile Photo

William Danforth, Woods Hole Coastal and Marine Science Center geologist, looks out at the ocean while in the field on the R/V Falkor.

William Danforth, Woods Hole Coastal and Marine Science Center geologist, looks out at the ocean while in the field on the R/V Falkor.

three coastal photos showing ocean, sky, and shoreline all blended together
Coastal Science Navigator banner
Coastal Science Navigator banner
Coastal Science Navigator banner

The banner from the Coastal Science Navigator--a gateway to USGS Coastal Change Hazards resources and assists users in finding products and tools that will meet their specific needs.

The banner from the Coastal Science Navigator--a gateway to USGS Coastal Change Hazards resources and assists users in finding products and tools that will meet their specific needs.

picture of the shoreline where a river is meeting the ocean on a blue sky day
Shoreline in Wellfleet
Shoreline in Wellfleet
Shoreline in Wellfleet

As sea-level rise accelerates, vegetation transitions are increasingly observed and USGS scientists are busy assessing those changes. Shoreline at the Cape Cod National Seashore in Wellfleet, MA.

As sea-level rise accelerates, vegetation transitions are increasingly observed and USGS scientists are busy assessing those changes. Shoreline at the Cape Cod National Seashore in Wellfleet, MA.

chart showing the number of plants each year from 2001 to 2020 accompanied by photo of seabeach amaranth
Assateague Island Seabeach Amaranth: 2001-2020
Assateague Island Seabeach Amaranth: 2001-2020
Assateague Island Seabeach Amaranth: 2001-2020

Time-series of number of seabeach amaranth observed in end-of-season surveys by NPS biologists. Shaded regions specify years where drought conditions persisted through the amaranth growing season. Vertical lines denote strong storms that occurred during the observation period.

Time-series of number of seabeach amaranth observed in end-of-season surveys by NPS biologists. Shaded regions specify years where drought conditions persisted through the amaranth growing season. Vertical lines denote strong storms that occurred during the observation period.

Collection viewer interactive map with swipe tool to compare data layers
U.S. Coastal Wetland Geospatial Collection
U.S. Coastal Wetland Geospatial Collection
U.S. Coastal Wetland Geospatial Collection

Users can navigate the collection by clicking on the tiles on the cover page or the tabbed menu. With the Collection viewer, users can use a swipe tool to compare layers and click to see the values for each pixel. Users can also add other data to the viewer and bookmark any locations of interest.

Users can navigate the collection by clicking on the tiles on the cover page or the tabbed menu. With the Collection viewer, users can use a swipe tool to compare layers and click to see the values for each pixel. Users can also add other data to the viewer and bookmark any locations of interest.

USGS logo, U.S. Coastal Wetland Geospatial Collection title and intro text on left. Links to interactive maps on the right
U.S. Coastal Wetland Geospatial Collection homepage
U.S. Coastal Wetland Geospatial Collection homepage
U.S. Coastal Wetland Geospatial Collection homepage

The collection provides a motivation for the USGS coastal wetland research and individual web apps where users can browse each CONUS-wide data separately (relative tidal elevation, unvegetated-vegetated ratio, and aboveground biomass). It also provides a Collection viewer, where users can browse the CONUS-wide collection on the same map.

The collection provides a motivation for the USGS coastal wetland research and individual web apps where users can browse each CONUS-wide data separately (relative tidal elevation, unvegetated-vegetated ratio, and aboveground biomass). It also provides a Collection viewer, where users can browse the CONUS-wide collection on the same map.

Environmental Geoscience page of the 2022 Woods Hole annual report, short text, image of people smiling amidst green wetland grasses
FY22 WH annual report page
FY22 WH annual report page
FY22 WH annual report page

The Environmental Geoscience page of the USGS Woods Hole Coastal and Marine Science Center, fiscal year 2022 annual report.

The Environmental Geoscience page of the USGS Woods Hole Coastal and Marine Science Center, fiscal year 2022 annual report.

Page of the fiscal year 2022 annual report for the Woods Hole Coastal and Marine Science Center
FY22 WH annual report page
FY22 WH annual report page
FY22 WH annual report page

The Sea-Level Rise and Carbon Cycle Processes in Managed Coastal Wetlands page of the fiscal year 2022 Woods Hole Coastal and Marine Science Center annual report.

The Sea-Level Rise and Carbon Cycle Processes in Managed Coastal Wetlands page of the fiscal year 2022 Woods Hole Coastal and Marine Science Center annual report.

Retrieving ADCPs

Pat Berube and Eric Moore traveled to CT to help the NY water science office retrieve some ADCPs.

Pat Berube and Eric Moore traveled to CT to help the NY water science office retrieve some ADCPs.

person standing outside flying drone with mountains in the background
Collecting pre-restoration LiDAR and thermal survey data
Collecting pre-restoration LiDAR and thermal survey data
Collecting pre-restoration LiDAR and thermal survey data

In July and October, Jen Cramer and Jin-Si Over assisted USGS UAS pilots from NUSO and Fort Collins to collect pre-restoration LiDAR and thermal survey data for the Vermillion River on the Kootenai National Forest in Montana before construction begins to improve Bull Trout habitat.

In July and October, Jen Cramer and Jin-Si Over assisted USGS UAS pilots from NUSO and Fort Collins to collect pre-restoration LiDAR and thermal survey data for the Vermillion River on the Kootenai National Forest in Montana before construction begins to improve Bull Trout habitat.

Four people standing in parking lot of sandy vegetated beach smiling for a photo
Hurricane Lee coastal response
Hurricane Lee coastal response
Hurricane Lee coastal response

USGS scientists from the Woods Hole Coastal and Marine Science Center (WHCMSC) also installed pressure sensors at four sites along the coast of Cape Cod, Massachusetts, including Sandwich Marsh tidal creek in Sandwich, Head of the Meadow Beach in Truro, Marconi Beach in Wellfleet, and Nauset Light Beach in Eastham to measure storm surge and flooding during Hurricane

USGS scientists from the Woods Hole Coastal and Marine Science Center (WHCMSC) also installed pressure sensors at four sites along the coast of Cape Cod, Massachusetts, including Sandwich Marsh tidal creek in Sandwich, Head of the Meadow Beach in Truro, Marconi Beach in Wellfleet, and Nauset Light Beach in Eastham to measure storm surge and flooding during Hurricane

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