The 8 km of shoreline from Punta Higüero to Punta Cadena in Rincón, Puerto Rico is experiencing long-term coastal erosion. This study documents historical shoreline changes at Rincón for the period 1936-2005. Twelve historical shoreline positions were compiled from existing data, new orthophotography, and GPS field surveys. Shoreline vectors represent the high water line at the time of the survey.
The historic shorelines were compiled for use in the Digital Shoreline Analysis System (DSAS) ArcGIS extension. DSAS reports various rate of change statistics based on transect-shoreline intersections cast at 50 meter spacing alongshore from Punta Higuero to Punta Cadena.
ground condition
Public domain data are freely redistributable with proper metadata and source attribution. The U.S. Geological Survey (USGS) must be referenced as the originator of the dataset in any future products or research derived from these data.
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Attribute accuracy is tested by visual inspection and comparison to source materials.
There is significant agreement of linework between adjacent shorelines digitized from adjacent aerial photographs. No additional checks for topological consistency were performed on shoreline positions collected from GPS field surveys.
The data set is complete inasmuch as it covers the extent of the study area along the coast of Rincon, Puerto Rico and there are no plans for further modification of the data.
Approximate horizontal accuracy is 3 meters or better.
Stable reference features were used to create a ground control network for aerial photographs. Points were located in the field using a differential Global Positioning System (GPS) receiver. The GPS field surveys also used differential GPS to mark shoreline positions. All shoreline positions therefore have a positioning accuracy of 3 meters.
This process step describes the methods used to digitize shoreline positions for the following years: 1963, 1971, 1974, 1977, 1987 and 1989. Seven sets of near-vertical, overlapping aerial photographs were used to obtain historical shoreline positions. The data included sets of photography from 1950 as well but was discarded after determining that the original input data were flawed. All have a nominal scale of 1:20,000, were flown during winter months, and except the 1987 set which used natural color film, were taken in black and white. A ground control network for the air photos was developed by identifying a number of common features on most or all of the photograph sets. Stable reference features such as buildings and road intersections were identified and their approximate locations marked on a U.S. Geological Survey (USGS) 7.5-minute topographic map. The points were then precisely located in the field and a more specific, stable target (e.g., a building comer, sidewalk, etc.) identifiable on the photographs was surveyed using a differential Global Positioning System (GPS) receiver. The points used in this study are accurate horizontally within 3 m and vertically to within about 6 m. Once the basic control network was established, a suite of pass points (common points appearing on two or more photos for which precise geographic information is unknown) was identified to provide further relative control for the photos within each time series. To provide a very "tight" control network and permit greater photogrammetric accuracy, the photo sets for each date included frames that were well inland from the shoreline. The air photos were digitized using a 12x lighted magnifying loupe to aid in identification of the fiducial reference marks around the photo border, ground control points, pass points, and the shoreline. The wet/dry line on the beach, the reference feature used in the field surveys described below, was used to delineate the shoreline in each photo. The wet/dry line is the most frequently used shoreline for digitizing because it is easily identified by the tonal difference between wet and dry sand. Where available, camera system calibration data were used to correct the photographs for film distortion and assess the magnitude of lens distortion. The National Ocean Service's General Integrated Analytical Triangulation (GIANT) aerotriangulation program was used to solve simultaneously for the camera position and angular orientation parameters for the air photos. GIANT was also used to remove atmospheric refraction effects from the aerotriangulation solution. Statistical output from GIANT indicated an accuracy of +4 m for the air photo-derived shoreline locations. The camera parameters for each photo were used to compute a single-ray intersection solution for the digitized shoreline points. A geographic coordinate system based on the WGS84 ellipsoid was used in shoreline position calculations for consistency with the GPS control point surveys and the field shoreline surveys. The output shoreline position data files for each photo were imported into separate overlays (one for each year of photography) in Maplnfo TM, a Macintosh®-based Geographic Information System (GIS), and joined to adjacent photo data to form a continuous shoreline.
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This process step describes the methods used to digitize shoreline positions for the following years: 1936, 1983, and 1987. Aerial photographs were scanned into digital format (.tif) at 600 dpi. The 2004 True Color Orthoimages (U.S. Army Corps of Engineers) were used as a reference for the creation of Ground Control Points (GCPs) to geometrically correct all aerial photographs. No RMS error greater than 0.03 was used. A Direct Linear Transform (DLT) model was utilized. All photographs were re-sampled to 1-meter pixel resolution using nearest neighbor re-sampling. Three image mosaics, one for each survey year, were created (1936, 1983 and 1987). Cutlines were manually created following general linear features. Areas of overlap were feathered by a distance of 10-meters. All images were histogram matched to decrease variability between images.
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This process step describes the methods used to digitize shoreline positions for the following years: 1994, 2005 and 2006. Field surveys of wet/dry shoreline positions were conducted on 24 August 1994, 06 December 2005, and 05-06 December 2006. These surveys utilized a backpack-mounted GPS receiver logging positions at 5- second intervals as the backpacker walked along the wet/dry line. The wet/dry line is the most frequently used shoreline for digitizing because it is easily identified by the tonal difference between wet and dry sand. The data were differentially corrected in real-time in the field. Further post-processing yielded a positioning accuracy of 2-3 m. The GPS data were imported directly into the GIS for display with the shorelines obtained from the photographs.
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The final shoreline file for each year was coded with 6 attribute fields (ID, Type, Date, Descr, Source, and Accuracy) required for the Digital Shoreline Analysis System (DSAS), which was used to calculate shoreline change rates.
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The shapefile was projected to Geographic Coordinates.
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Internal feature number.
ESRI
Feature geometry.
ESRI
Year of survey
U.S. Geological Survey
Feature surveyed in 1936
U.S. Geological Survey
Feature surveyed in 1950
U.S. Geological Survey
Feature surveyed in 1963
U.S. Geological Survey
Feature surveyed in 1971
U.S. Geological Survey
Feature surveyed in 1974
U.S. Geological Survey
Feature surveyed in 1977
U.S. Geological Survey
Feature surveyed in 1983
U.S. Geological Survey
Feature surveyed in 1987
U.S. Geological Survey
Feature surveyed in 1989
U.S. Geological Survey
Feature surveyed in 1994
U.S. Geological Survey
Feature surveyed in 2004
U.S. Geological Survey
Feature surveyed in 2005
U.S. Geological Survey
Positional accuracy of feature in meters
U.S. Geological Survey
Length of feature in meters
U.S. Geological Survey
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Although these data have been used by the U.S. Geological Survey (USGS), U.S. Department of the Interior (DOI), no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
ESRI Polyline Shapefile
The DBF file contains the attribute data in dBASE format. The PRJ file contains the coordinate system information. The SBN and SBX files contain the spatial index of the geospatial data. The SHP file contains the geospatial data. The SHX file contains the index of the geospatial data. The XML file contains the metadata describing the data set.
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