SCDNRoyster2015Wash

Metadata:

• Identification_Information
• Data_Quality_Information
• Spatial_Data_Organization_Information
• Spatial_Reference_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: South Carolina Department of Natural Resources

Publication_Date: 20160901

Title: SCDNRoyster2015Wash

Edition: 2015 Wash Edition

Geospatial_Data_Presentation_Form: vector digital data

Publication_Information:

Publication_Place: Charleston, South Carolina, USA

Publisher: South Carolina Department of Natural Resources

Description:

Abstract:

This dataset contains digitized boundaries of washed oyster shell deposits found along the South Carolina coast. The deposits were digitized through a combination of automated and manual techniques using 4-band (blue, green, red, near-infrared) digital orthophotos with a theoretical ground resolution of 0.25 meters. The photos are dated from 2003 to 2006. The project area was selected specifically to cover those sections of the SC coastal critical zone where oysters had historically been mapped by the SC Department of Natural Resources (SCDNR). The area spans 122 USGS quarter quadrangles (DOQQs). Sixty of the DOQQs were ground-truthed by boat to assess accuracy. Some areas were verified through photographs taken from low-altitude helicopter flights conducted from 2006 to 2008 by SCDNR. The initial digitization process has met with the minimum accuracy requirements of the project (80% correct classification) and was completed through a joint effort between Photo Science Inc. and SCDNR. The entire dataset has been reviewed by SCDNR for quality using all known information through 2010. Edits and improvements were completed by SCDNR on April 28, 2011. From 2011 through 2015, low-altitude helicopter photography flights were conducted over selected areas of management interest. Photographs from these flights were used as a reference to individually update and edit live oyster reefs polygons for selected areas. Some edits were completed to the washed shell polygons during the editing of the live reef polygon layer. However, the washed shell layer has not received the same level of detailed editing as has the live shell layer.

Purpose:

This dataset was produced to support the mapping of intertidal oyster reefs for research and management of the state's shellfish resources.

Supplemental_Information:

More information about this dataset is available at the following website:<https://www.dnr.sc.gov/GIS/descoysterbed.html>

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20030101

Ending_Date: 20121231

Currentness_Reference:

The initial feature classification was completed from orthophotos collected from 2003 - 2006. Further editing and accuracy updating was completed using helicopter photos collected from 2006 - 2012.

Status:

Progress: In work

Maintenance_and_Update_Frequency: Irregular

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -80.927007

East_Bounding_Coordinate: -78.537618

North_Bounding_Coordinate: 33.907739

South_Bounding_Coordinate: 32.060161

Keywords:

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword:

intertidal oyster, Crassostrea virginica, South Carolina Department of Natural Resources

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Categories

Theme_Keyword: biota

Theme_Keyword: boundaries

Theme_Keyword: environment

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: South Carolina

Temporal:

Temporal_Keyword_Thesaurus: None

Temporal_Keyword: 2015

Access_Constraints: None

Use_Constraints:

NO WARRANTY: The South Carolina Department of Natural Resources (SCDNR) provides these geographic data "as is" and makes no guarantee or warranty concerning the accuracy of information contained in the geographic data. SCDNR further makes no warranties, either expressed or implied, as to any other matter whatsoever, including, without limitation, the condition of the product, or its fitness for any particular purpose. The burden for determining fitness for use lies entirely with the user. Although these data have been processed successfully on computers of SCDNR, no warranty, expressed or implied, is made regarding the use of these data on any other system, nor does the fact of distribution constitute or imply any such warranty. LIMITATION OF LIABILITY: In no event shall the SCDNR have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of use of or reliance on the geographic data or arising out of the delivery, installation, operation, or support by SCDNR.

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: South Carolina Department of Natural Resources

Contact_Person: Gary Sundin

Contact_Position: Wildlife Biologist II

Contact_Address:

Address_Type: mailing and physical

Address:

SCDNR Marine Resources Research Institute, 217 Fort Johnson Road

City: Charleston

State_or_Province: South Carolina

Postal_Code: 29412

Country: US

Contact_Voice_Telephone: 843-953-0130

Contact_Electronic_Mail_Address: sunding@dnr.sc.gov

Data_Set_Credit:

The South Carolina Department of Natural Resources should be acknowledged in products derived from these data.

Native_Data_Set_Environment:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

These data are the result of several discreet processes. The initial polygon layer (SCDNRoyster2010Live) was completed in 2011. The Accuracy of the initially mapped polygons was assessed for 60 of the 122 DOQQs using mapping grade GPS and video transects captured by boat along the length of the reef. Approximately 100 reefs including some washed shell deposits were mapped per DOQQ, and 30 textured mud areas were mapped to check for errors of omission. The horizontal accuracy of the GPS measurements was 0.3-0.5 meters. The spatial accuracy of the images from which the reefs were digitized was 4 meters. Two metrics were used to assess accuracy. The first metric assessed was Presence/Absence, or the correct identification of oyster or textured mud. Four possible scoring categories were available for this metric: 1) Correct positive (correctly classified shell), 2) Correct negative (correctly classified as mud), 3) False positive (mud incorrectly classified as shell), False Negative (shell incorrectly classified as mud). If 25% of the measured transect contained the correct classification, it was scored as correct (Present). The second metric assessed was Extent. It was defined as the correct delineation of the entire length of an oyster reef or mud patch. The extent of the reef was considered incorrect if the length of the reef was different from the length of the transect by more than 10 meters in the case of a fringing reef. In the case of a hummock or "patch reef" if there was a gap within the reef greater than 10 m2, it was considered incorrect. It is important to note that although correct classifications tend to be 80% or above, these measurements are primarily for oysters along shorelines. Reefs in mud flats were difficult to assess by boat, so DOQQs containing large areas of flats could have poorer accuracy than reflected by the score. The flats were difficult to digitize due to the patchiness of the shell in the mud, and it was often hard to see. Manual editing is often required in these areas. Helicopter photos were used to correct some of the accepted product, especially in areas inaccessible to boats. Accuracy numbers for the helicopter process are not available, but the reefs are easily visible on the low altitude photos. For DOQQs not assessed for accuracy, SCDNR used their knowledge of the resource and photo interpretation skills to improve them as much as possible, but no accuracy numbers will be available. SCDNR is also correcting DOQQs that have been assessed for accuracy, so the accuracy scores reported should be considered as the minimum accuracy. Before SCDNR edits, the cumulative metric scores of this data set were 87% correct for Presence/Absence and 84% correct for Extent. Individual DOQQ scores ranged from 71% to 100% correct for Presence/Absence classification. Scores ranged from 50% to 97% correct for Extent. Accuracy values for the initially mapped product are available at the DOQQ level in the associated table: SCDNRoyster2015Live_metadata_table.pdf Low-altitude helicopter photography flights have been conducted over selected areas. Photographs from these flights were used to update the boundaries, location, and attributes of individual oyster reefs, and to add or delete oyster reefs from the initial layer as needed. This updating process was completed on the live oyster reef dataset and edits to the washed deposit products were incidental. Polygons that have been updated with helicopter photograph information are indicated as descirbed in the Fields section of this metadata.

Logical_Consistency_Report:

Photo Science Inc. was responsible for initial oyster reef digitization of 75 DOQQs or 61% of the data. The remaining 47 DOQQs were mapped at SCDNR. The techniques used by Photo Science and SCDNR for initial digitization using Feature Analyst are similar with a few exceptions. Photo Science trained two types of oyster reefs, fringing and patch reefs (flats), and took the best training set from each to create one file with minimal manual editing. The resulting files were manually edited by SCDNR. When SCDNR digitized reefs, more training sets were created to better capture variations in the appearance of the shell. Instead of picking the best single output, SCDNR then used parts from all training sets to piece together the final product. This second method is more time consuming, but manual editing could be completed at the same time. Helicopter photography and subsequent editing of individual reef polygons were completed by SCDNR. During this process, photographs were viewed sided by side with the existing mapped GIS product. The photographs were used as reference as individual polygons were digitally reshaped, split, combined, added, deleted, or left unchanged as necessary. Helicopter photographs were also used to assign class attributes to individual polygons. Helicopter photographs used to update these data were collected from 2006 - 2012 on multiple flights. Data were collected by multiple individuals. Although efforts are made to standardize the updating process, some subjectivity is inevitable. The helicopter updating process was generally conducted to update the live intertidal oyster reef polygon layer and any edits to the washed shell polygon layer were incidental.

Completeness_Report:

The initial classification and editing processes were completed for areas within 122 USGS DOQQs. Within the coastal region 16 DOQQs were not covered by any flights. These missing DOQQs are: Bennetts Point NE, NW, SW; Minim Island NE, NW, SE, SW; Santee Point NE, SE, SW; Sheldon NE, NW, SW; Wiggins NE, NW, SE. For the 122 quads where imagery was collected, each DOQQ was subdivided into four DOQQQs, creating a total of 488 DOQQQs within the flight area. Of the 488 DOQQQs within the flight area, 45 were not imaged because they were not expected to contain intertidal oyster habitat. Individual orhthoimages were mosaiked to create composite images at the DOQQQ scale and these mosaiked images were used in the initial classification process. The resulting imagery dataset contained 443 mosaiked images. The initial classification and editing process was completed for all 443 images in 2008. The initial classification resulted in both live and washed shell products. The washed shell product has not been systematically updated with low-altitude helicopter imagery and helicopter updates to the washed shell layer are incidental to updates performed on the live reef product. The washed shell layer contains 6,366 individual polygons, of which 454 have been updated with helicopter photography. Because live and washed shell intertidal oyster formations are positionally mutually exclusive by the definitions used to create this polygon layer, efforts are made to ensure there is no overlap between the final versions of the layers.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

The inital layer was digitized from 0.25 m resolution multispectral digital imagery with reported horizontal accuacy of 4 meters or less.

Quantitative_Horizontal_Positional_Accuracy_Assessment:

Horizontal_Positional_Accuracy_Value: 4

Horizontal_Positional_Accuracy_Explanation:

The inital layer was digitized from 0.25 m resolution multispectral digital imagery with reported horizontal accuacy of 4 meters or less.

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Originator: South Carolina Department of Natural Resources

Publication_Date: 20160831

Title: SCDNRoyster2015Wash

Geospatial_Data_Presentation_Form: Vector digital data

Type_of_Source_Media: Computer program

Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 2003

Ending_Date: 20112

Source_Currentness_Reference:

round condition. Earliest orthophotos used in the initial classification were collected in 2003. The most recent low-altitude helicopter photos used to updated this verstion of this layer were collected in 2012.

Source_Citation_Abbreviation: SCDNRoyster2015Wash

Source_Contribution:

Original orthophotos were collected by non-SCDNR contractor. Part of the initial classification was completed by non-SCDNR contractor. The remaining feature classification was completed by SCDNR. All helicopter photography collected by SCDNR using contracted non-SCDNR aircraft and pilots. All ground truthing, editing, and updating completed by SCDNR.

Process_Step:

Process_Description:

Manual Edits and Updates of Initial Digitization: SCDNR manually checked and edited all products completed by Photo Science using known information about oyster resources and through visual interpretation of the image. ArcGIS 9.2-9.3 was used. Only clear errors were corrected, so as not to decrease any accuracy scores an image received during the QA/QC assessment. Visual interpretation was aided through comparisons with low altitude oblique aerial imagery available through Bing Maps from 2008-2010, and with SCDNR photographs taken by helicopter (see the Low Altitude Helicopter-Based Validation step). Edits were finalized for this version in April 2011.

Process_Date: 20080428

Process_Step:

Process_Description:

Edge Matching: Edge matching of the shellfish polygons was performed on both live and washed shell layers produced from the Feature Analyst software for each DOQQ (Digital Ortho Quarter Quad). There were three steps to editing these layers. Step A: Merging the QQQ shapefiles to QQ feature classes within a geodatabase, Step B: Editing within DOQQs, and Step C: Working between DOQQs. For each of these steps, the washed shell layer was processed before the live shell layer. Step A: Feature Analyst produced a series of shapefiles for each DOQQ. These were merged into two feature classes (one washed, one live) per DOQQ (e.g. NW, NE, SW, SE), and they were merged into a geodatabase. Step B: Starting with the washed shell, the polygons were checked for obvious errors (e.g. polygons on houses, streets). Then the interior lines of each DOQQ were checked for overlapping or duplicate polygons. These polygons were either merged or one was deleted. When choosing between polygons, we chose the one the more attribute information (e.g. helicopter data) or the one associated with the photo within the same DOQQ. Then the washed shell layer was used to clip the live shell layer using the Erase tool. The wash and live shell layers were both checked for polygon size. Any polygons smaller than 1 meter were deleted. Also any polygons with a gridcode of 0 AND no neighboring 'ADD' comment field were deleted. Finally, after the wash and live layers had been edited, a new ID column was created that identified the quad, the quarter quad, the year, and whether it was live or wash shell (e.g. adamrNE2008oysterW). Step C: Starting with the wash shell, several adjacent DOQQs were opened and compared. There were three possible issues to fix. First, any polygons that crossed DOQQ boundaries were cut and then were appended into one or the other DOQQ wash/live feature class. Second, due to the fact that polygons were digitized from several photos, some polygons were associated with the wrong quad. Any polygons that appeared in the wrong quarter quad were selected, appended to the proper file, and then deleted out of the original file. Finally, some polygons were duplicated or overlapping in multiple quarter quads. The polygons were either merged or one of the duplicate polygons was deleted. If necessary, the polygons were then appended into the proper quarter quad feature class. When choosing between polygons that represent the same shellfish bed, we always choose the polygon that was associated with the photo in that quad, not the adjacent quad and photo, unless the combination of the polygons better represented the shellfish bed, in which case, we merged the two polygons.

Process_Date: 20081231

Process_Step:

Process_Description:

Low Altitude Helicopter -Based Validation: Photographs have been taken of areas not accessible by boat or not previously ground-truthed. The photos were taken from a helicopter at an altitude of 200-400 feet. A Trimble Pro XRS GPS antenna was attached to the helicopter to collect continuous points along the path of the helicopter. The photos were collected using a Canon EOS 30 D digital camera with 10 megapixel resolution. All photos were collected during a negative low tide within +/- 1 hour of noon to reduce shadow effects. Using the GPS points as a guide and going through the chronological file of photos, all reefs along the flight patch were checked and edited in ArcGIS 9.2 for accuracy. Photographs were taken from 2004-2010 and were used to validate oyster presence/absence. Photographs used to validate this dataset were dated between 2004-2008, however, not all available photographs from these years had been viewed by 2011. Information pertaining to areas flown and validated using these methods are available in the associated file: SCDNRoyster2015Live_metadata_table.pdf.

Process_Date: 20081231

Process_Step:

Process_Description:

Initial Digitization: Each photo (one fourth of a DOQQ), was interpreted and had its own training samples due to the variable appearance of the oyster and the imagery itself. Training polygons were created for each photo and input into Feature Analyst for automated feature extraction/creation. Feature Analyst is an extension developed by Virtual Learning Systems for ESRI's ArcGIS desktop. Feature Analyst Versions 4.0-4.2 were used and the ArcGIS versions ranged from 9.0-9.2. Training sets were developed separately for fringing reefs, patch reefs and washed shell due to the difference in appearance of the three types of shell. Starting in June 2007, additional training sets were also used when the color or texture of shell differed widely within an image due to: light angles, dryness of the shell, or degree of contrast with surrounding mud. Masks were created to eliminate dry land and large areas of water from analysis. Within Feature Analyst's Set-Up Learning step, the Image Resolution was set at 1 foot. The Manhattan 5x5 Input Representation was determined to be the most versatile and used for most extractions. Within Learning Options, "Aggregate areas" was set at a minimum area of 64 pixels and "Find rotated features" was checked. All primary extractions were run with the learning algorithm "Approach 1". When layers were filtered for incorrect features (clutter), "Approach 2" was used. Manual editing or clean-up of shapes was not generally done by Photo Science. The manual clean-up step was completed by SCDNR and is listed as a separate step.

Process_Date: 20081231

Process_Step:

Process_Description:

QA/QC for Accuracy: The accuracy of the product was scored using two metrics: 1) the presence/absence of oyster adjoining each transect measured, an 2) the extent of the reef that was captured. For presence/absence, a matrix of four possible scoring categories were available: 1) Correct positive (correct shell), 2) Correct negative (correct mud), 3) False positive (mud incorrectly classified as shell), False Negative (shell incorrectly classified as mud). If 25% of the measured transect contained the correct classification, it was scored as correct. The score reported for presence/absence was calculated as the number of correct classifications divided by the total number of observations. To score extent, if there was an error in extent of more than 10m, it was scored as incorrect. If the extent of the mapped reef exceeded that of the field transect, we reviewed the video records. If the tide in the video appeared to be covering shell that was captured on the photo, the length was not graded. Oyster reefs that extended past the transect could be graded as correct if notes were made in the field record about the inaccessibility of the remaining shell from the boat. Reefs that extend past a transect can only be graded as incorrect if there is no doubt on the error. Extent was scored as number of correct lengths divided by total number of observations. These scores are listed in an associated table (SCDNRoyster2015Live_metadata_table.pdf) for the corresponding DOQQs. The images were processed based on batches of 15 DOQQs. Half of the DOQQs in each batch were ground-truthed. For each DOQQ scored, the two metrics were averaged for an overall score. If the cumulative score of the batch was greater than 80%, it was accepted. If not, the failing DOQQs were returned for reprocessing, as well as any images that were not ground-truthed and had obvious problems. Individual DOQQs that failed in an "accepted batch" were edited by SCDNR.

Process_Date: 20081231

Process_Step:

Process_Description:

Ground-truthing by Boat: Sixty of the 122 DOQQs were ground-truthed by boat for accuracy assessments. Using a Trimble XR GPS unit, approximately 100 reefs in each DOQQ were measured. The areas had to be assessed before the imagery was available, so efforts were made to randomly select reefs spread out over the DOQQ using historical maps of oyster as a guide. Some DOQQs did not have 100 accessible reefs to measure, so in these cases as many as were accessible were measured. Reefs also had to be 10 m2 or more in size per the contract agreement with Photo Science. Using the GPS unit, transects were measured lengthwise for each reef. A video of the entire length of the reef was also filmed as the reef's approximate width and condition were recorded. In addition to the oyster reefs, approximately 30 areas of textured mud or sand were marked to check for errors of commission. Ground-truthing efforts were conducted no more than two hours before or after low tide. Data collected from these efforts were used to score the accuracy of the digitization process.

Process_Date: 20081231

Process_Step:

Process_Description:

Low Altitude Helicopter – Based Updating: From 2011 – 2015 photographs were taken of selected areas not previously covered by helicopter flights. Photos were taken from a helicopter at an altitude of 200 – 400 feet. A Trimble GeoXT handheld mapping grade GPS receiver with internal antenna was used to record the path of the helicopter during the flights. Photographs were taken with a Canon EOS 1 Ds Mark III camera with a 24 mm – 105 mm zoom lens. All photos were collected on negative low tides, where low tide occurred between 10:00 am and 2:00 pm, and were taken +/- 1.5 hours before or after predicted low tide in the area flown. During flights, efforts were made to comprehensively cover all potential oyster-containing habitat within the chosen flight area. Photographs were used as reference to digitally update boundaries and locations of existing reefs, or to add or delete reefs as needed. Digitizers used the sequential photo-series and data from the helicopter flight path to view all photos and compare them to the existing live reef polygon layer. Edits were performed on the live reef polygon layer. After completion of edits on live reef polygon layer, the resulting live reef layer was compared to the intial product for washed shell. Reefs identified as "washed shell" or otherwise non-living oyster reefs were transferred to the washed shell layer as appropriate. Where necessary, individual photographs were reviewed. Generally, the washed shell oyster reef layer received a lower level of editing effort relative to the live reef layer.

Process_Date: 20160831

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Vector

Point_and_Vector_Object_Information:

SDTS_Terms_Description:

SDTS_Point_and_Vector_Object_Type: GT-polygon composed of chains

Point_and_Vector_Object_Count: 6366

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Map_Projection:

Map_Projection_Name: NAD 1983 UTM Zone 17N

Transverse_Mercator:

Scale_Factor_at_Central_Meridian: 0.9996

Longitude_of_Central_Meridian: -81.0

Latitude_of_Projection_Origin: 0.0

False_Easting: 500000.0

False_Northing: 0.0

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: coordinate pair

Coordinate_Representation:

Abscissa_Resolution: 0.0001

Ordinate_Resolution: 0.0001

Planar_Distance_Units: meter

Geodetic_Model:

Horizontal_Datum_Name: D North American 1983

Ellipsoid_Name: GRS 1980

Semi-major_Axis: 6378137.0

Denominator_of_Flattening_Ratio: 298.257222101

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: SCDNRoyster2015Wash

Entity_Type_Definition: Vector polygon layer of discreet oyster reefs

Entity_Type_Definition_Source: SCDNR

Attribute:

Attribute_Label: OBJECTID

Attribute_Definition: Internal feature number.

Attribute_Definition_Source: ESRI

Attribute_Domain_Values:

Unrepresentable_Domain:

Sequential unique whole numbers that are automatically generated.

Attribute:

Attribute_Label: Shape

Attribute_Definition: Feature geometry.

Attribute_Definition_Source: ESRI

Attribute_Domain_Values:

Unrepresentable_Domain: Coordinates defining the features.

Attribute:

Attribute_Label: ID

Attribute_Definition: Unique ID for each polygon.

Attribute_Definition_Source: SCDNR

Attribute_Domain_Values:

Unrepresentable_Domain: Unique and variable ID for individual polygon

Attribute:

Attribute_Label: CalcGeo_Acres

Attribute_Definition: Calculated area of the polygon, in acres.

Attribute_Definition_Source: SCDNR

Attribute_Domain_Values:

Unrepresentable_Domain:

Positive values that show the planar area of the polygon in acres

Attribute:

Attribute_Label: PHOTOEDIT

Attribute_Definition:

Indicates whether polygon has been photographed by helicopter and individually edited or updated as needed. "Y" (yes) indicates that a helicopter photo exists and has been reviewed. Value of "Y" does not necessarily indicate that digital edits have been performed to change the shape or location of a polygon. Many shapes did not need additional editing or updating. Digital edits to polygon shapes and locations were performed on individual reef polygons as needed.

Attribute_Definition_Source: SCDNR

Attribute_Domain_Values:

Unrepresentable_Domain:

"Y" (Yes) indicates polygon has been photoedited, null values have not been photoedited.

Attribute:

Attribute_Label: PHOTO_YEAR

Attribute_Definition:

For polygons where helicopter photos exist and have been reviewed, this field indicates the year that the helicopter photography was conducted.

Attribute_Definition_Source: SCDNR

Attribute_Domain_Values:

Unrepresentable_Domain:

The year the photo was taken for polygons that have been photo edited.

Attribute:

Attribute_Label: Shape_Length

Attribute_Definition: Length of feature in internal units.

Attribute_Definition_Source: ESRI

Attribute_Domain_Values:

Unrepresentable_Domain: Positive real numbers that are automatically generated.

Attribute:

Attribute_Label: Shape_Area

Attribute_Definition: Area of feature in internal units squared.

Attribute_Definition_Source: ESRI

Attribute_Domain_Values:

Unrepresentable_Domain: Positive real numbers that are automatically generated.

Overview_Description:

Entity_and_Attribute_Overview:

This dataset contains polygons showing the boundaries of intertidal washed oyster shell features in South Carolina. The creation, editing, and updating of this product is described elsewhere in this metadata file. In addition to the default fields, the attribute fields contained in this file indicate for each polygon: the unique ID, area in acres, whether a polygon has has been updated using helicopter photography, and the year of the photo for updated polygons.

Entity_and_Attribute_Detail_Citation:

Entities and attributes included in this dataset originated from ESRI for default attributes, and from the SCDNR for other attributes.

Distribution_Information:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization:

South Carolina Department of Natural Resources

Contact_Person: Tyler Brown

Contact_Position: GIS Manager

Contact_Address:

Address_Type: mailing and physical

Address:

SCDNR, 1000 Assembly Street, Suite 118

City: Columbia

State_or_Province: South Carolina

Postal_Code: 29201

Country: US

Contact_Voice_Telephone: 803-734-3162

Contact_Electronic_Mail_Address: BrownTy@dnr.sc.gov

Distribution_Liability:

Neither the State of South Carolina, the Department of Natural Resources, nor any of its employees, is responsible for any improper or incorrect use of the information described and/or contained herein, and assume no responsibility for the use of the information. The South Carolina Department of Natural Resources should be acknowledged as the data source in products derived from these data.

Metadata_Reference_Information:

Metadata_Date: 20161021

Metadata_Future_Review_Date: 20201001

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: South Carolina Department of Natural Resources

Contact_Person: Gary Sundin

Contact_Position: Wildlife Biologist II

Contact_Address:

Address_Type: mailing and physical

Address:

SCDNR Marine Resources Research Institute, 217 Fort Johnson Road

City: Charleston

State_or_Province: South Carolina

Postal_Code: 29412

Country: US

Contact_Voice_Telephone: 843-953-0130

Contact_Electronic_Mail_Address: sunding@dnr.sc.gov

Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998

Metadata_Time_Convention: local time

Metadata_Use_Constraints:

Neither the State of South Carolina, the Department of Natural Resources, nor any of its employees, is responsible for any improper or incorrect use of the information described and/or contained herein, and assume no responsibility for the use of the information. The South Carolina Department of Natural Resources should be acknowledged as the data source in products derived from these data.