SandResources
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5412631.185100
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Relationship
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ResourcesHaveLinkDocs
Relationship
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ResourcesHaveLinks
Relationship
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Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
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DE134955-0FE1-4E2A-8659-575718AE1626
dataset
Oceanographer
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
703-787-1747
marineminerals@boem.gov
45600 Woodland Road, VAM-LD
Sterling
VA
20166
US
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
http://www.boem.gov/Marine-Minerals-Program
http://www.boem.gov/Marine-Minerals-Program
HyperText Protocol
web browser
BOEM MMIS website
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
20250715
https://geoseas.geoplatform.gov/hosting/rest/services/MMP
ArcGIS Rest Services
Layer: SandResources
ArcGIS 10.8.1
Enterprise Geodatabase Feature Class
2025-07-15T00:00:00
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
marineminerals@boem.gov
45600 Woodland Road, VAM-LD
Sterling
VA
20166
US
http://www.boem.gov/Marine-Minerals-Program
HyperText Protocol
web browser
BOEM MMIS website
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
vector digital data
SandResources
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Sand Resource layer contains delineations of areas on the Outer Continental Shelf (OCS) and (if available) nearshore areas where there is some likelihood that a usable sand resource exists. The resources depicted in this feature class were identified and characterized during various reconnaissance- and design-level studies where geological (e.g. sediment cores, sediment profile images, etc.) and geophysical (e.g. high-resolution swath bathymetry, side-scan sonar, seismic reflection profiles, magnetometer surveys) data were collected to evaluate OCS sand resources. Resource attribution consists of OCS study area ID, location (state), area ID (e.g. shoal X), approximate areal extent, estimated volume, generalized (e.g. composite) sediment properties (mean grain size, %sand, %gravel, %fines etc.), and resource evaluation stage (see attribute definition for detailed explanation). Delineations are not guaranteed to be exact and mainly consist of approximate delineations based on interpretations of data, drawings, and or descriptions found in related study reports. Likewise, the character of sediment deposits qualifying as sand resource areas varies with region and prospective applications for use. If a sand resource area is deemed suitable for a given project (e.g. beach restoration), then entities may enter into a Negotiated Non-Competitive Lease or Memoranda of Agreement with the Bureau of Ocean Energy Management (BOEM), in order to dredge sand, gravel or shell resources from the resource area. Section 8 (k) of the OCS Lands Act (OCSLA) as amended by Public Law 103-426 (enacted in 1994) gives BOEM the authority to negotiate an agreement for the use of OCS sand, gravel and shell resources for use in: (1) a project for shore protection, beach restoration, or coastal wetlands restoration undertaken by a Federal, State, or local government agency; or (2) for use in a construction project funded in whole or part by or authorized by the Federal government. This dataset and its related tables will be updated periodically as new and existing data are incorporated in to the MMIS geodatabase.</SPAN></P></DIV></DIV></DIV>
The Sand Resource layer provides locations on the Outer Continental Shelf (OCS) where there is an increased likelihood that a usable sand resource exists based interpretations of geological and geophysical data collected in the vicinity. These polygons generally indicate where resources exist within the focus area(s) of reconnaissance- and/or design-level resource assessments, or where additional OCS studies should be carried out in order to refine resource characterization in those areas. The Bureau of Ocean Energy Management's (BOEM) Marine Minerals Program (MMP) is responsible for managing non-energy minerals (primarily sand and gravel) on the OCS. Access to and identification of potential OCS sand resources is critical for the long-term success and cost-effectiveness of many shore protection, beach nourishment, and coastal habitat restoration projects along the Gulf of Mexico and Atlantic Ocean coasts. By replenishing beaches with sand from the OCS, the Nation's coastlines receive crucial resources for the maintenance of a healthy coastal ecosystem. Sand resource polygons were compiled by BOEM from multiple sources and assigned an evaluation stage that represents the associated level of characterization, where: Proven - Resource areas whose thickness and lateral extent have been fully determined through design-level geotechnical and seismic coverage. Generally reserved for (but not limited to) areas that have already been authorized as part of a lease. Potential - Resource areas whose existence has been verified through some combination of geotechnical and geophysical data. Thickness and/or lateral extent has not been fully determined. All areas have some combination of geotechnical and geophysical datasets (vibracore, bathymetry, sidescan, and seismic). Unverified - Resource areas hypothesized to exist on the basis of indirect evidence (seismic profiles, bathymetry, or sidescan sonar). Inferred sediment types, unit thicknesses and lateral extents have not been confirmed through direct sampling methods. Unusable - Resource areas that as a result of additional surveys, prior dredging activity, or infrastructure development are not (or no longer) suitable for future dredging; this designation should not be considered terminal and is subject to change.
NASA/GCMD Location Keywords
2021-01-26T00:00:00
GULF OF MEXICO
ATLANTIC OCEAN
GLOBAL OCEAN
NORTH ATLANTIC OCEAN
SEA FLOOR
Outer Continental Shelf
U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard (FIPS) 10-4): Washington, D.C., National Institute of Standards and Technology.
1995-01-01T00:00:00
US
SeaDataNet Common Vocabularies
2019-01-01T00:00:00
Marine Geology
Library of Congress Subject Headings
2021-03-01T00:00:00
Geology
This data is in the public domain and has no access restrictions.
FIPS 199 Security Classification
There are no restrictions; the data is releasable to the public.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Bureau of Ocean Energy Management (BOEM) provides the data for use "as is". BOEM provides this information with the understanding that it is not guaranteed to be accurate, correct or complete and conclusions drawn from such information are the responsibility of the user. While every effort has been made to ensure the accuracy, correctness and timeliness of materials presented within the limits of the current state of the art, BOEM assumes no responsibility for errors or omissions, nor as a result of the failure of the data to function on a particular system. BOEM makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. Users are cautioned to consider carefully the provisional nature of these data and information before using them for decisions that concern personal or public safety or the conduct of business that involves substantial monetary or operational consequences. Conclusions drawn from or actions undertaken on the basis of, such data and information are the sole responsibility of the user. The maps shown here are for illustration and planning purposes only and are not suitable for site-specific decision making. The data are not suitable for navigational purposes. Information found here should not be used for making financial or any other commitments. This data was developed by the U.S. Government; no other proprietary rights may be attached to them nor may they be sold to the U.S. Government as part of any procurement of products or services. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the Bureau of Ocean Energy Management (BOEM) as the source of this information.</SPAN></P></DIV></DIV></DIV>
-97.509304
-69.741319
23.803551
43.657748
publication date
1989-01-01T00:00:00
2025-07-15T00:00:00
The most current version of this dataset can be downloaded via the Marine Minerals Information System (MMIS) viewer at https://mmis.boem.gov.
GULF OF MEXICO
Environment
Sand
Sand and Gravel
Sediment
Mineral Resources
Geophysical Survey
Non-Energy
Dredging
Geological
Survey
Beach Nourishment
ATLANTIC OCEAN
Sand Resources
Biological Research
OCS
Outer Continental Shelf
Environmental Assessment
Mining and Mineral Extraction
Benthic
Offshore
GLOBAL OCEAN
NORTH ATLANTIC OCEAN
SEA FLOOR
US
Aggregate
Construction
Mining and Mineral Extraction
Offshore
OCS
Biological Research
Non-Energy
Geophysical Survey
Shoal
Physical Oceanography
Geomorphology
Reconnaissance
Sand
Mineral Resources
Sand Resources
Study
Oceanographic Sensors
Substrate
Cubic Yards
Survey
Sediment Characteristics
Physical Habitats
Chemical Research
Oceanographer
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
703-787-1747
marineminerals@boem.gov
45600 Woodland Road, VAM-LD
Sterling
VA
20166
US
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
http://www.boem.gov/Marine-Minerals-Program
http://www.boem.gov/Marine-Minerals-Program
HyperText Protocol
web browser
BOEM MMIS website
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
Esri ArcPro
1
-93.891014
-69.741319
43.657757
25.677525
2026-01-01T00:00:00
The MMIS data model utilizes a hierarchical structure where an ESRI enterprise geodatabase represents the top tier, and feature datasets and raster catalogs are the secondary tiers which contain groupings of similar data layers. These individual data layers were identified by MMP as important, and they make up the bottom tier. Most individual vector layers and tables are collections of data from multiple sources and across multiple dates. Extensive research went into the construction of (1) the hierarchical groupings of data (primarily by subject matter and file format) and (2) technical aspects of the data model. Data within the geodatabase was consolidated to reduce redundancy, resulting in several stand-alone tables. Relationship classes utilizing global IDs were built between vector layers and stand-alone tables in order to link disparate data. The entire MMIS data model was originally constructed using ESRI ArcGIS Diagrammer, a tool that creates and edits a geodatabase schema. The resulting geodatabase structure, data, and relationship classes were reviewed thoroughly by multiple individuals using ESRI Geodatabase Diagrammer Add-In, ESRI ArcGIS, and Microsoft Visio. ESRI Geodatabase Diagrammer Add-In creates a detailed break-down of the geodatabase and a Visio data model poster.
Conceptual consistency: adherence to rules of the conceptual schema
The MMIS data model utilizes a hierarchical structure where an ESRI enterprise geodatabase represents the top tier, and feature datasets and raster catalogs are the secondary tiers which contain groupings of similar data layers. These individual data layers were identified by MMP as important, and they make up the bottom tier. Most individual vector layers and tables are collections of data from multiple sources and across multiple dates. Extensive research went into the construction of (1) the hierarchical groupings of data (primarily by subject matter and file format) and (2) technical aspects of the data model. Data within the geodatabase was consolidated to reduce redundancy, resulting in several stand-alone tables. Relationship classes utilizing global IDs were built between vector layers and stand-alone tables in order to link disparate data. The entire MMIS data model was originally constructed using ESRI ArcGIS Diagrammer, a tool that creates and edits a geodatabase schema. The resulting geodatabase structure, data, and relationship classes were reviewed thoroughly by multiple individuals using ESRI Geodatabase Diagrammer Add-In, ESRI ArcGIS, and Microsoft Visio. ESRI Geodatabase Diagrammer Add-In creates a detailed break-down of the geodatabase and a Visio data model poster.
Refer to "Completeness Omission" Report
1
The spatial data and attribute tables loaded into the MMIS data model are believed to be complete, in regards to maintaining each data layer/table after retrieving it from its source. Please refer to the scientific reports, as well as BOEM MMP Leases, negotiated agreements, Memoranda of Agreements, and project completion reports, for discussions of the results on the corresponding source data. Most individual vector layers and tables in the MMIS data model are collections of data from multiple sources and across multiple dates. Most likely, these MMIS layers/tables will continue to have more data loaded in the future, therefore expanding upon the list of sources and dates. Additionally, the Pacific Outer Continental Shelf (OCS) and Alaska OCS regions may eventually be added to the data model, aside from the Atlantic and Gulf of Mexico OCS regions.
Completeness omission: data absent from the dataset, as described by the scope
The spatial data and attribute tables loaded into the MMIS data model are believed to be complete, in regards to maintaining each data layer/table after retrieving it from its source. Please refer to the scientific reports, as well as BOEM MMP Leases, negotiated agreements, Memoranda of Agreements, and project completion reports, for discussions of the results on the corresponding source data. Most individual vector layers and tables in the MMIS data model are collections of data from multiple sources and across multiple dates. Most likely, these MMIS layers/tables will continue to have more data loaded in the future, therefore expanding upon the list of sources and dates. Additionally, the Pacific Outer Continental Shelf (OCS) and Alaska OCS regions may eventually be added to the data model, aside from the Atlantic and Gulf of Mexico OCS regions.
Please refer to the scientific reports, as well as Bureau of Ocean Energy Management (BOEM) Marine Minerals Program (MMP) Leases, negotiated agreements, cooperative agreements, Memoranda of Agreements, and project completion reports, for accuracy statements on the corresponding source data. These documents are referenced in the attribute tables, where appropriate. In regards to attribute assignment in the Marine Minerals Information Systems (MMIS) data model, every effort was made to load source data into MMIS without error or modification. Some attributes contain domain restrictions in an effort to standardize the field entries and to decrease potential inconsistent entries (e.g., spelling, grammar, typographical errors, and subject matter) in the attribute.
Quantitative attribute accuracy: accuracy of quantitative attributes
Please refer to the scientific reports, as well as Bureau of Ocean Energy Management (BOEM) Marine Minerals Program (MMP) Leases, negotiated agreements, cooperative agreements, Memoranda of Agreements, and project completion reports, for accuracy statements on the corresponding source data. These documents are referenced in the attribute tables, where appropriate. In regards to attribute assignment in the Marine Minerals Information Systems (MMIS) data model, every effort was made to load source data into MMIS without error or modification. Some attributes contain domain restrictions in an effort to standardize the field entries and to decrease potential inconsistent entries (e.g., spelling, grammar, typographical errors, and subject matter) in the attribute.
Refer to "Completeness Omission" Report
1
unknown
Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true
Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true
Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true
Refer to "Completeness Omission" Report
1
unknown
Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true
Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true
Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true
Refer to "Completeness Omission" Report
1
Lineage varies by data source. Some data was contributed, some was mapped/reformatted from scientific and technical reports for MMIS.
BOEM Archives
BOEM Archives
2025-07-15T00:00:00
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
Multiple investigators and projects
document
publication date
1989-01-01T00:00:00
2025-07-15T00:00:00
The spatial and tabular data presented in this dataset were identified by the Bureau of Ocean Energy Management (BOEM) Marine Minerals Program (MMP) for the MMIS project as being critical for MMP's decision making and management responsibilities of Federal Outer Continental Shelf (OCS) mineral exploration and Federal non-energy sand/gravel lease activities. The spatial extents of each sand resource area were retrieved directly from BOEM in the form of ESRI's ArcGIS shapefiles. The sand resource layer for each study was loaded into the corresponding study-specific geodatabase in its native projection. Next, a master layer was created in the MMIS geodatabase data model to house all sand resource area polygons in a single feature class (reprojected into the NAD83 geodetic reference system). Attributes added to the feature class include the OCS study area ID, state, year the report was published, summarized resource textural properties, approximate resource dimensions (thickness and area), approximate resource volume, and resource evaluation stage. Resource evaluation stage consisted of 4 categories (Proven, Potential, Unverified, and Unusable; see attribute description for full explanation) that generally indicate the degree of resource characterization; hence, the likelihood that the area can be used as a future dredging area. Higher resolution of geological and geophysical data increases the confidence that restoration quality material is present. Discussions with BOEM scientists provided further insight into defining evaluation stage. Next, the disparate OCS sand resource area feature classes and their attribute data were loaded into the MMIS Sand Resources feature class. For increased accessibility, each study area polygon was linked to the corresponding study report and or related documentation. As a result of this process, and the fact that multiple OCS studies were conducted in certain areas over several years, some areas contain overlapping polygons with different evaluation stages. For example, an unverified resource polygon generated from a reconnaissance-level study may overlap a more refined (potential or proven resource) polygon from a subsequent design-level study. Retaining these overlapping polygons helps illustrate the knowledge gleaned from individual OCS studies and the temporal progression of OCS research in these areas. For specific process information regarding acquisition, please reference the state, study year, and OCS Study Area ID to locate the report documents (if available) at https://www.boem.gov/Marine-Mineral-Resource-Evaluation/.
2025-07-15T00:00:00
1353
EPSG
6.18.3(9.3.1.2)
True
True
Feature Catalogue for MMIS.SDE.SandResources
2025-07-15T00:00:00
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
https://mmis.boem.gov
HyperText Protocol
web browser
Content Information for the Resource
Link to access information about the data content.
SandResources
The Sand Resource layer provides locations on the Outer Continental Shelf (OCS) where there is an increased likelihood that a usable sand resource exists based interpretations of geological and geophysical data collected in the vicinity. These polygons generally indicate where reserves exist within the focus areas of reconnaissance- and/or design-level OCS studies, or where additional OCS studies should be carried out in order to refine and quantify the extents of sand resources in those areas. The Marine Minerals Program (MMP) within the Bureau of Ocean Energy Management (BOEM) is responsible for managing non-energy minerals (primarily sand and gravel) on the OCS. Access to and identification of potential OCS sand resources is critical for the long-term success and cost-effectiveness of many shore protection, beach nourishment, and coastal habitat restoration projects along the Gulf of Mexico and Atlantic Ocean coasts. By replenishing beaches with sand from the OCS, the Nation's coastlines receive crucial resources for the maintenance of a healthy coastal ecosystem. Sand resource polygons were provided by BOEM in ArcGIS shapefile format and follow-up discussions were made with MMP scientists to identify the evaluation stage associated with each polygon in regards to the presence of restoration quality sand and gravel.
modified from Freedenberg, H., R. Hoenstine, A. Dabous, B. Cross, A. Willett, M. LaChance, Z-Q. Chen, and N. Strong, 1999, A geological investigation of the offshore areas along Florida's central east coast, Annual Report to the MMS-Year 3: Florida Geological Survey, Tallahassee, Florida, 448 p.
Feature Class
1353
GrainSize
Average grain size (phi size) within the deposit/resource area; methodology is defined by the researcher and should be referenced in the related report Average grain size (phi size) within the deposit/resource/study area; methodology is defined by the researcher and should be referenced in the related report. value is null if no data were provided from source.
BOEM
Average grain size (phi size) within the deposit/resource area; methodology is defined by the researcher and should be referenced in the related report Average grain size (phi size) within the deposit/resource/study area; methodology is defined by the researcher and should be referenced in the related report. value is null if no data were provided from source.
Grain Size (Phi)
Double
8
38
8
Comments
Additional comments, descriptions, citations, etc. pertaining to the deposit/resource area
BOEM
Additional comments, descriptions, citations, etc. pertaining to the deposit/resource area
Comments
String
1000
0
0
SHAPE
Feature geometry
Esri
Feature geometry
SHAPE
Geometry
8
0
0
RuleID
Assigns Cartographic Representation
Esri
-1
Free Representation
BOEM
1
Sand Resources
BOEM
RuleID
Integer
4
10
0
State
Location relative to closest state; state funded for OCS study, two letter postal code
BOEM
Location relative to closest state; state funded for OCS study, two letter postal code
State
String
2
0
0
PctSand
Percent Sand
Double
8
38
8
PctCarbonate
Percent Carbonate
Double
8
38
8
Area_feet
Planar area of the polygon (square feet); methodology is defined by the researcher and should be referenced in the related report
BOEM
Planar area of the polygon (square feet); methodology is defined by the researcher and should be referenced in the related report
Area (square feet)
Double
8
38
8
Override
Overrides Cartographic Representation
Esri
Overrides Cartographic Representation
Override
Blob
0
0
0
PctCarbonateSand
Percentage of carbonate sand in sample by weight
BOEM
Percentage of carbonate sand in sample by weight
Percent Carbonate Sand
Double
8
38
8
Resource_GlobalLinkID
Unique identifier that links the feature to the report associated with the area
BOEM
Unique identifier that links the feature to the report associated with the area
Global Link ID
GUID
38
0
0
Year
Year of sample collection
BOEM
Year of sample collection
Year
SmallInteger
2
5
0
SedAreaID
Sand Resource Area Identifier Name (as referred to in study area report); blank if no name provided from source
BOEM
Sand Resource Area Identifier Name (as referred to in study area report); blank if no name provided from source
Sediment Area ID
String
100
0
0
SandUnitThickness
Estimated average sand unit thickness (feet) of the resource; methodology is defined by the researcher and should be referenced in the related report, null if no data provided
BOEM
Estimated average sand unit thickness (feet) of the resource; methodology is defined by the researcher and should be referenced in the related report, null if no data provided
Sand Unit Thickness (feet)
Double
8
38
8
SHAPE.STLength()
Length of feature in internal units
Esri
Length of feature in internal units
SHAPE.STLength()
Double
0
0
0
StudyID
Study ID of the study in which the feature was identified. Study ID following the convention noted in the Data Management Plan
BOEM
Study ID of the study in which the feature was identified. Study ID following the convention noted in the Data Management Plan
Study ID
String
250
0
0
OBJECTID
Internal feature number
Esri
Internal feature number
OBJECTID
OID
4
10
0
EvaluationStage
Evaluation stage of sand resource characterization based on results of reconnaissance- and or design-level studies. Generally indicates potential for becoming a future dredge area at the time of the associated study. See comment field and linked documents for more information on individual sand resource delineations.
BOEM
Unverified
Unverified
BOEM
Unusable
Unusable
BOEM
Proven
Proven
BOEM
Potential
Potential
BOEM
Evaluation Stage
String
10
0
0
Volume_CY
Estimated volume (cubic yards) of the sand resource; methodology is defined by the researcher and should be referenced in the related report
BOEM
Estimated volume (cubic yards) of the sand resource; methodology is defined by the researcher and should be referenced in the related report
Volume (cubic yards)
Double
8
38
8
PctFines
Percent Fines
Double
8
38
8
GlobalResourceID
Unique identifier that links the feature to additional analysis
BOEM
Unique identifier that links the feature to additional analysis
Global Resource ID
GUID
38
0
0
SourceReport
Source Report
String
500
0
0
Local file path to the source report associated with the Sand Resource feature. This document must also be listed in the Link Documents table. If no local copy is available, this can also be a weblink.
BOEM
Text
WebLink
Web Link
String
500
0
0
Publicly accessible web link to the source report associated with the Sand Resource feature.
BOEM
text
Citation
Citation
String
500
0
0
Citation for the source report linked in Source and Web Link. (Title, Author, Date)
BOEM
Text
SourceType
Source Type
String
25
0
0
Type of source report (Primary or Secondary)
BOEM
Primary
The sand resource delineation is a direct product of the linked source investigation.
BOEM
Secondary
The delineation is not a direct product of the linked report and / or investigation (example sand resource areas sourced from a GIS compilation).
BOEM
MunsellColor
Average Munsell color of sediment within the deposit/resource area; methodology is defined by the researcher and should be referenced in the related report; value is null if no data were provided from source
BOEM
Average Munsell color of sediment within the deposit/resource area; methodology is defined by the researcher and should be referenced in the related report; value is null if no data were provided from source
Munsell Color
String
20
0
0
SHAPE.STArea()
Area of feature in internal units squared
Esri
Area of feature in internal units squared
SHAPE.STArea()
Double
0
0
0
Year_text
Year_text
This field holds the same value as Year field, but it is stored in text format instead of numerical format. This field is necessary for proper visualization of year values in Esri built front end products; it should not be used for any other purpose and does not need to be populated by submitting partners.
BOEM
text
4
This field holds the same value as Year field, but it is stored in text format instead of numerical format. This field is necessary for proper visualization of year values in Esri built front end products; it should not be used for any other purpose and does not need to be populated by submitting partners.
0
0
created_user
created_user
Stores the name of the user who creates features or records
Esri
Text
255
Read-only. Stores the name of the user who creates features or records.
0
0
created_date
created_date
Stores the date and time a feature or record was created
Esri
Date
8
Read-only. Stores the date and time a feature or record was created.
0
0
last_edited_user
last_edited_user
Stores the name of the user who last edited a feature or record
Esri
TExt
255
Read-only. Stores the name of the user who last edited a feature or record.
0
0
last_edited_date
last_edited_date
Stores the date a feature or record was last edited
Esri
Date
8
Read-only. Stores the date a feature or record was last edited.
0
0
The Sand Resource layer provides locations on the Outer Continental Shelf (OCS) where there is an increased likelihood that a usable sand resource exists based interpretations of geological and geophysical data collected in the vicinity. These polygons generally indicate where reserves exist within the focus areas of reconnaissance- and/or design-level OCS studies, or where additional OCS studies should be carried out in order to refine and quantify the extents of sand resources in those areas. The Marine Minerals Program (MMP) within the Bureau of Ocean Energy Management (BOEM) is responsible for managing non-energy minerals (primarily sand and gravel) on the OCS. Access to and identification of potential OCS sand resources is critical for the long-term success and cost-effectiveness of many shore protection, beach nourishment, and coastal habitat restoration projects along the Gulf of Mexico and Atlantic Ocean coasts. By replenishing beaches with sand from the OCS, the Nation's coastlines receive crucial resources for the maintenance of a healthy coastal ecosystem. Sand resource polygons were provided by BOEM in ArcGIS shapefile format and follow-up discussions were made with MMP scientists to identify the evaluation stage associated with each polygon in regards to the presence of restoration quality sand and gravel.
BOEM
Simple
FALSE
1353
TRUE
FALSE