Description: "The coastline of California can be divided into a set of distinct, essentially self-contained littoral cells or beach compartments. These compartments are geographically limited and consist of a series of sand sources (such as rivers, streams and eroding coastal bluffs) that provide sand to the shoreline; sand sinks (such as coastal dunes and submarine canyons) where sand is lost from the shoreline; and longshore transport or littoral drift that moves sand along the shoreline. Sediment within each cell includes the sand on the exposed or dry beach as well as the fi ner-grained sediment that lies just offshore.Beach sand moves on and offshore seasonally in response to changing wave energy, and also moves alongshore, driven by waves that usually approach the beach at some angle. Most beach sand along the coast of California is transported from north to south as a result of the dominant waves approaching the shoreline from the northwest, although alongshore transport to the north occurs in some locations and at certain times of the year in response to waves from the south. Average annual rates of littoral drift typically range from about 100,000 to 1,000,000 cubic yds/yr along the California coast.Sand budgets have been developed for many of California’s littoral cells by calculating or estimating the amount of sand added annually from each source or lost to each sink, and by documenting the volume of sand moving alongshore as littoral drift by using harbor dredging records as proxies. It is the balance between the volumes of sand entering and leaving a littoral cell over the long-term that govern the long-term width of the beaches within the cell. Where sand supplies have been reduced through the construction of dams or debris basins in coastal watersheds, through armoring the seacliffs, by mining sand or restricting littoral transport through large coastal engineering structures, the beaches may temporarily or permanently narrow."- Patsch, K. and Griggs, G.B 2006. Littoral Cells, Sand Budgets, and Beaches: Understanding California’s Shoreline. Institute of Marine Sciences, UCSC and California Department of Boating and Waterways. http://www.dbw.ca.gov/csmw/PDF/LittoralDrift.pdf
Description: Each grid file was made from 75 original tiled DEMs that were mosaicked into one grid and resampled to 200 meters. These mosaicked DEMs were produced by Teale Data Center from a contract with the Department of Fish and Game, funded by the Resources Agency. Using ArcInfo 8.1, 10 m contour intervals were created out to 600 meters.Vital Statistics (from original metadata): Datum: NAD27, Projection: Albers (standard Teale parameters), Units: Meters, 1st Std. Parallel: 34 00 00 N, 2nd Std. Parallel: 40 30 00 N, False Easting: 0.0, False Northing: -4,000,000 Converted to California Teale Albers NAD83 by the California Department of Fish and Game, reprojected to WGS 1984 by USACE GIS Analyst on 2/28/2012.
Copyright Text: California Department of Fish and Game, Teale Data Center
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Description: Beaches are commonly characterized by cross-shore surveys. The resulting profiles represent the elevation of the beach surface and nearshore seabed from the back of the beach to beyond the closure depth. The profile data show seasonal and long-term elevation changes in the beach and nearshore zone. These beach profile data provide information pertaining to the historic and existing sand volumes, beach elevations, and shoreline positions that are useful for planning and design.
Copyright Text: San Diego Association of Governments (SANDAG), USGS
Description: Generally, 1:80,000 NOAA coast charts took precedence and were used when available. For areas where 1:80,000 charts were not readily available, charts with the next closest higher scale (e.g., 1:60,000) were used down to the highest scale available. Alternately, if higher scale charts were not available, charts of the closest lower scale (e.g., 1:100,000) were used down to the lowest scale. The digital shoreline for Florida was obtained from the state. This digital file was originally created from NOAA nautical charts and was not recreated by SEA. Generally, for these shoreline sections (EC80_06, GC80_05, and GC80_06), the highest scale charts available were used to digitize the shoreline. The resultant average mapping scale for the entire Medium Resolution Digital Vector Shoreline is approximately 1:70,000. The product is designed for use by a broad audience and is available through this service. Potential users include government agencies, universities, research institutions, and individuals in the private sector. Digital files are available in ESRI shapefile format.
Description: Graphics depicting the wave climate and wave exposure of the Santa Cruz Littoral Cell and San Diego Region, adapted from various sources. This dataset was developed in support of the California Coastal Sediment Management Workgroup.
Copyright Text: Moffatt & Nichol Engineers. 1988. Historic Wave and Sea Level Data Report, San Diego Region. Coast of California Storm and Tidal Waves Study. U.S. Army Corps of Engineers, Los Angeles District, Los Angeles, CA, December 1988. USGS Scientific Report 2005-5085 (Storlazzi and Griggs 2005): http://pubs.usgs.gov/sir/2005/5085/.
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Description: The Humboldt Bay Shoreline Assessment and LiDAR Analysis was conducted by field mapping the entire shoreline and assigning an unique segment identifier based on a change in attributes of type, structure, cover, and salt marsh adjacency onto 11x17 aerial photo base maps at a scale of 1” = 200’. Once field mapped shoreline segments were digitized and attributed in GIS. In early 2012 the NOAA Coastal LiDAR dataset became available as a “hydro-flattened bare earth” digital elevation model (DEM). Metadata provided with the DEM reported a vertical accuracy RMSE less than or equal to 18 cm and a horizontal accuracy of 50 cm RMSE or better. A subset of the LiDAR DEM was taken that included all portions of the Humboldt Bay shoreline. A contour layer was derived from the DEM and the DEM was color coded in 0.5 meter elevation increments. Digitized artificial shoreline segments were realigned with the contours and color coded DEM to ensure that the segments were aligned with the structures which they represent. Jeff Anderson of Northern Hydrology prepared a DEM of Humboldt Bay representing water surface elevations of the present day mean monthly maximum water surface (MMMW). The MMMW surface was subtracted from the LiDAR DEM to produce a third DEM of relative elevations to the MMMW. These relative elevations were assigned to the shoreline segments at one meter spacing as the DEM is comprised of a one meter pixel resolution. The 1 meter spaced vertices of the shoreline segments were exported to a 3D point feature class. The shoreline segments were then broken at each vertex to produce 169,903 1 meter shoreline segments which all contained the original unique segment identifier, shoreline attributes, and start and end relative elevation values in the attribute table. An average relative elevation was calculated for each one meter shoreline segment and used as the basis for analysis.
Copyright Text: Aldaron Laird - Trinity Associates; Brian Powell - McBain and Trush, Inc.; Jeff Anderson - Northern Hydrology; California Coastal Conservancy
Description: In 2011 Aldaron Laird walked and kayaked the entire shoreline of Humboldt Bay mapping the shoreline conditions onto 11x17 laminated fieldmaps at a scale of 1" = 200' using 2009 orthophotos as an imagery backdrop. He classified the shoreline as Natural vs Artificial, noted the structure type, cover type, and if there was salt marsh habitat adjacent to it. The bay was broken up into six areas as Arcata Bay, Mad River Slough, Eureka Slough, Eureka Bay, Elk River Slough, and South Bay.
Copyright Text: Aldaron Laird - Trinity Associates; Brian Powell - McBain and Trush, Inc.; California Coastal Conservancy
Description: The 3-Zone Average Annual Salinity Digital Geography is a digital spatial framework developed using geographic information system (GIS) technology. These salinity geographies represent the average annual salinity found in certain estuaries along the coastal United States of America. The salinity concentrations used to define the salinity zones were:- Tidal Fresh (0 - 0.5 parts per thousand)- Mixing Zone (0.5 - 25 parts per thousand)- Seawater Zone (25 parts per thousand or greater)The geographic near-ocean extent of the zones, the shoreline and international boundaries in the geography come from NOAA's Coastal Assessment Framework. These salinity geographies cover the entire Atlantic, Gulf of Mexico, and Pacific coasts of the coterminous United States of America.
Copyright Text: NOAA's Coastal Geospatial Data Project
Description: This shapefile details the historical creeks of the San Francisco peninsula, Santa Clara Valley, Pleasanton & Dublin, Western Alameda County, Richmond and other communities in western Contra Costa County. This database was designed to help the general public and regional planners understand how water flows through watersheds.This data was downloaded (from http://museumca.org/creeks/GIS/index.html) and compiled on April 5th, 2012, from the following individual shapefiles: historicalcreeks.shp, SFP_Historical_Creek.shp, historical_creek_SP3NAD83feet.shp, WAC_HIST_Creek.shp, and RICH_Historical_Creek.shp. One field was added and populated to help identify the shapefile's region.
Copyright Text: Oakland Museum of California, William Lettis and Associates, Inc., and the San Francisco Estuary Institute (SFEI)
Description: The Los Angeles County beach attendance data came from monthly and annual table summaries as prepared by the Los Angeles County Fire Department, Lifeguard Division. Their tables are compiled from the daily estimates of beach attendance as reported by lifeguard stations throughout the Lifeguard Division's 30 Areas that are located over their three Sections (Northern, Central, and Southern). Los Angeles County lifeguards patrol over 72 miles of shoreline via 158 lifeguard towers, 15 substations, and four section headquarters. The estimates highlight the importance of Zuma Beach and the Santa Monica Bay beaches to fulfill the region’s demand for active and passive recreation.One point shapefile and one Excel Spreadsheet were submitted by Noble Consultants, Inc. and Larry Paul and Associates to CSMW as part of the Los Angeles County Coastal Regional Sediment Management Plan (2011). No original metadata provided.
Copyright Text: Lifeguard Division Los Angeles County Fire Department, Noble Consultants Inc., Larry Paul and Associates, Coastal Sediment Management Workgroup
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