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Attempts to stabilize the shore can greatly influence rates of shoreline change. Beach nourishment in particular will bias rates of observed shoreline change toward accretion or stability, even though the natural beach, in the absence of nourishment, would be eroding. Trembanis and Pilkey (1998) prepared a summary of identifiable beach nourishment projects in the Gulf Coast region that had been conducted before 1996. Those records were used to identify shoreline segments that had been influenced by beach nourishment. Supplemental information regarding beach nourishment was collected from agencies familiar with nourishment projects in the State. All records were compiled to create a GIS layer depicting the spatial...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Academics & scientific researchers,
Alabama,
Alabama,
BEACHES,
Baseline, All tags...
Beach Erosion,
Beach Nourishment,
COASTAL LANDFORMS,
Coastal Survey Map,
Conservation NGOs,
Data,
EARTH SCIENCE,
Endpoint Rate,
Federal resource managers,
GEOMORPHIC LANDFORMS/PROCESSES,
Gulf of Mexico,
Historic Shoreline,
LAND SURFACE,
LCC Network Science Catalog,
LIDAR,
Linear Regression Rate,
Regional & county planners,
Shoreline,
Shoreline Change Rate,
State agencies,
T-sheet,
Tp-sheet,
United States,
completed,
environment, Fewer tags
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There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002. Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the ‘Data Quality Information’ section of this metadata report. Shoreline vectors derived from historic...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Academics & scientific researchers,
Alabama,
Baseline,
Beach Erosion,
Beach Nourishment, All tags...
COASTAL LANDFORMS,
COASTAL LANDFORMS,
COASTAL LANDFORMS,
COASTAL LANDFORMS,
Coastal Survey Map,
Conservation NGOs,
Data,
EARTH SCIENCE,
EARTH SCIENCE,
EARTH SCIENCE,
EARTH SCIENCE,
Endpoint Rate,
Federal resource managers,
Florida,
Floridia,
GEOMORPHIC LANDFORMS/PROCESSES,
GEOMORPHIC LANDFORMS/PROCESSES,
GEOMORPHIC LANDFORMS/PROCESSES,
GEOMORPHIC LANDFORMS/PROCESSES,
Gulf of Mexico,
Historic Shoreline,
LAND SURFACE,
LAND SURFACE,
LAND SURFACE,
LAND SURFACE,
LCC Network Science Catalog,
LIDAR,
Linear Regression Rate,
Louisiana,
Mississippi,
Regional & county planners,
SHORELINES,
SHORELINES,
SHORELINES,
SHORELINES,
Shoreline,
Shoreline Change Rate,
State agencies,
T-sheet,
Texas,
Tp-sheet,
United States,
completed,
environment, Fewer tags
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Rates of long-term and short-term shoreline change were generated in a GIS with the Digital Shoreline Analysis System (DSAS) version 2.0, an ArcView extension developed by the USGS in cooperation with TPMC Environmental Services. The extension is designed to efficiently lead a user through the major steps of shoreline change analysis. This extension to ArcView contains three main components that define a baseline, generate orthogonal transects at a user-defined separation along the coast, and calculate rates of change (linear regression, endpoint rate, average of rates, average of endpoints, jackknife).
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Academics & scientific researchers,
Alabama,
Baseline,
Beach Erosion,
Beach Nourishment, All tags...
Coastal Survey Map,
Conservation NGOs,
DATA ANALYSIS AND VISUALIZATION,
DATA ANALYSIS AND VISUALIZATION,
DATA ANALYSIS AND VISUALIZATION,
Data,
EARTH SCIENCE SERVICES,
EARTH SCIENCE SERVICES,
EARTH SCIENCE SERVICES,
Endpoint Rate,
Federal resource managers,
Florida,
Floridia,
GEOGRAPHIC INFORMATION SYSTEMS,
GEOGRAPHIC INFORMATION SYSTEMS,
GEOGRAPHIC INFORMATION SYSTEMS,
Gulf of Mexico,
Historic Shoreline,
LCC Network Science Catalog,
LIDAR,
Linear Regression Rate,
Louisiana,
Mississippi,
Regional & county planners,
Shoreline,
Shoreline Change Rate,
State agencies,
T-sheet,
Texas,
Tp-sheet,
United States,
completed,
environment, Fewer tags
|
Attempts to stabilize the shore can greatly influence rates of shoreline change. Beach nourishment in particular will bias rates of observed shoreline change toward accretion or stability, even though the natural beach, in the absence of nourishment, would be eroding. Trembanis and Pilkey (1998) prepared a summary of identifiable beach nourishment projects in the Gulf Coast region that had been conducted before 1996. Those records were used to identify shoreline segments that had been influenced by beach nourishment. Supplemental information regarding beach nourishment was collected from agencies familiar with nourishment projects in the State. All records were compiled to create a GIS layer depicting the spatial...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Alabama (AL),
Baseline,
Beach Erosion,
Beach Nourishment,
Coastal Survey Map, All tags...
Endpoint Rate,
Florida (FL),
Gulf of Mexico,
Gulf of Mexico,
Historic Shoreline,
LIDAR,
Linear Regression Rate,
Louisiana (LA),
Mississippi (MS),
Shoreline,
Shoreline Change Rate,
T-sheet,
Texas (TX),
Tp-sheet,
United States,
coastal hazard,
hurricane impact,
nourishment,
sediments,
shoreline,
shoreline change, Fewer tags
|
There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002. Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the 'Data Quality Information' section of this metadata report. Shoreline vectors derived from historic...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Alabama (AL),
Baseline,
Beach Erosion,
Beach Nourishment,
Coastal Survey Map, All tags...
Endpoint Rate,
Florida (FL),
Gulf of Mexico,
Gulf of Mexico,
Historic Shoreline,
LIDAR,
Linear Regression Rate,
Louisiana (LA),
Mississippi (MS),
Shoreline,
Shoreline Change Rate,
T-sheet,
Texas (TX),
Tp-sheet,
United States,
coastal hazard,
hurricane impact,
nourishment,
sediments,
shoreline,
shoreline change, Fewer tags
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