20230628
06235000
1.0
FALSE
us_canyon
-2465140.809000
2541299.826200
-1460128.749500
1401833.914900
1
3.658
-
ak_canyon_relate
Relationship
-
us_canyon_relate
Relationship
002
Projected
GCS_North_American_1983
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USA_Contiguous_Lambert_Conformal_Conic
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20191002
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AElFTkSuQmCC
Melanie Cahill
CSA Ocean Sciences
Project Manager
772-219-3000
Stuart
FL
34997
20191002
ArcGIS Metadata
1.0
us_canyon
2019-07-05T00:00:00
vector digital data
U.S. Department of the Interior, Bureau of Ocean Energy Management, Office of Environmental Programs
U.S. Department of the Interior, Bureau of Ocean Energy Management, Office of Environmental Programs
Sterling
VA
45600 Woodland Road, VAM-OEP
20166
BoemOepDea@boem.gov
US
(703) 787-1524
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
https://www.boem.gov/Environmental-Stewardship/
GIS Specialist
U.S. Department of the Interior, Bureau of Ocean Energy Management, Office of Environmental Programs
U.S. Department of the Interior, Bureau of Ocean Energy Management, Office of Environmental Programs
Sterling
VA
45600 Woodland Road, VAM-OEP
20166
BoemOepDea@boem.gov
US
(703) 787-1524
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
https://www.boem.gov/Environmental-Stewardship/
GIS Specialist
U.S. Department of the Interior, Bureau of Ocean Energy Management, Office of Environmental Programs
<div style='text-align:Left;'><div><div><p><span>This dataset was created utilizing an objective system to inventory locations and names of large submarine canyons on the United States OCS in the Atlantic, Pacific, and Arctic Oceans and the Gulf of Mexico. The objective system utilized bathymetric data for average and maximum width, length and average and maximum depth of canyons to select ‘large’ submarine canyons for inclusion in this study. For the purposes of this study, submarine canyons were defined as “steep-walled, sinuous valleys with V-shaped cross sections, axes sloping outwards as continuously as river-cut land canyons and relief comparable to even the largest of land canyons”. One of the challenging portions of the selection process was the identification of individual canyons. While some canyons are spatially isolated from others and visually distinctive using various bathymetric data sources, others are more difficult to distinguish individually because of their proximity and overlapping or nearly overlapping dendritic patterning, especially in their shallower extents. Fortunately, a recent paper (Harris et al. 2014[1]) provided an authoritative description of many of these major canyons and was the starting point for development of the methods used in this study to determine the canyon boundaries. However, to develop a more objective methodology for this study, the basis for choosing the boundaries was based on defensible, accepted methods. In summary, the methods included: 1) examination of bathymetric datasets across all regions; 2) utilization of a series of tools within the Esri hydrology analysis Basin toolkit to extract the approximate Harris thalweg to define stream orders from the resulting flow accumulation output; 3) association of seafloor slope with canyons by examining the bathymetric raster for its cumulative frequency distribution of the slope values in SAS (2016) using PROC UNIVARIATE to sequentially eliminate the flatter slopes; 4) establishment of buffer spatial extents utilizing the 4.6th(2 Standard Deviations [SD]) percentile to determine the steepest slopes.</span></p></div></div></div>
This dataset has been created in a collaborative process between CSA Ocean Sciences Inc. (CSA) and Bureau of Ocean Energy Management (BOEM) to develop one depository of maps and information on submarine canyons of the Outer Continental Shelf (OCS) to inform future Final Programmatic Environmental Impact Statements (EIS). This dataset contains all files needed to reproduce the maps electronically, with linked shapefiles containing descriptions of size, geography, history, geology, biology, water quality, and currents summarized from best available existing data for OCS submarine canyons with references.
CSA Ocean Sciences Inc. (CSA), De Leo, F.C., and Ross, S.W. 2019. Large Submarine Canyons of the United States Outer Continental Shelf Atlas dataset. U.S. Dept. of the Interior, Bureau of Ocean Energy Management, Environmental Studies Program, Washington, DC, under Contract Number 140M0119F0009.
None
Pacific Ocean
marine canyons
CSA
OCS
Atlantic Ocean
Gulf of Mexico
submarine canyons
ocean seafloor
deepwater canyons
bathymetric analysis
BOEM
Outer Continental Shelf
US
Global Ocean
Sea Floor
Pacific Ocean
marine canyons
CSA
OCS
Atlantic Ocean
Gulf of Mexico
submarine canyons
ocean seafloor
deepwater canyons
bathymetric analysis
BOEM
Outer Continental Shelf
US
Global Ocean
Sea Floor
Esri ArcGIS 10.6.1.9270
Created June 2019
2019-06-30T00:00:00
2020-01-05T00:00:00
-180
180
49.713492
74.185181
1
-129.281665
-61.783364
51.577837
22.870741
<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>
36
us_canyon
Submarine Canyons in Alaska
DOI/BOEM/MMP
Feature Class
36
OBJECTID
FID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Name
Name of Canyon.
BOEM
English Canyon name.
Name
String
25
0
0
Shape
Feature geometry.
BOEM
Coordinates defining the features.
Shape
Geometry
0
0
0
Global_ID
Global_ID
String
50
0
0
Length_m
Straight line length of canyon in meters.
BOEM
76059.9755
375630.3421
Length_m
Double
8
0
0
Sys_Can
Canyon System name if applicable.
BOEM
Canyon System name if applicable.
Sys_Can
String
254
0
0
DepthMin_m
Shallowest depth of delination.
BOEM
31
1709
DepthMin_m
Integer
4
0
0
Shape_Area
Area of feature in internal units squared.
BOEM
Positive real numbers that are automatically generated.
Shape_Area
Double
8
0
0
Region
BOEM Planning Area Region
BOEM
BOEM Planning Area Region
Region
String
50
0
0
Area_SqKm
Area of polygon in square kilometers.
BOEM
652.624045
29579.725243
Area_SqKm
Double
8
0
0
Length_Km
Straight line length of canyon in kilometers.
BOEM
76.059975
375.630342
Length_Km
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
DepthMax_m
Deepest depth of delination.
BOEM
2372
6334
DepthMax_m
Integer
4
0
0
File Geodatabase Feature Class
3.658
dataset
Esri
4.0.0
Simple
FALSE
36
TRUE
FALSE
Metadata Future Review Date is As Needed.
Please refer to the scientific reports for accuracy statements on the corresponding source data. These documents are referenced in the attribute tables, where appropriate.
Please refer to the scientific reports for accuracy statements on the corresponding source data. These documents are referenced in the attribute tables, where appropriate.
1
2019-06-29T00:00:00
The spatial data and attribute tables provided 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 for discussions of the results on the corresponding source data. Most individual vector layers and tables in the data model are collections of data from multiple sources and across multiple dates.
1
The Submarine Canyons data model utilizes a hierarchical structure where an ESRI enterprise geodatabase houses the feature classes, the relationship classes, and the database tables. The resulting geodatabase structure, data, and relationship classes were reviewed thoroughly by multiple individuals
The spatial data and attribute tables provided 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 for discussions of the results on the corresponding source data. Most individual vector layers and tables in the data model are collections of data from multiple sources and across multiple dates.
Lineage varies by data source. Some data was contributed, some was mapped/reformatted from scientific and technical reports for MMIS.
Publication Date
2019-12-31T00:00:00
BOEM Archives
2019-08-07T00:00:00
external
5f66ce21632d67fe8487729d985677bd
U.S. Department of the Interior, Bureau of Ocean Energy Management, Office of Environmental Programs
U.S. Department of the Interior, Bureau of Ocean Energy Management, Office of Environmental Programs
Sterling
VA
45600 Woodland Road, VAM-OEP
20166
BoemOepDea@boem.gov
US
(703) 787-1524
GIS Specialist
True
U.S. Department of the Interior, Bureau of Ocean Energy Management, Office of Environmental Programs
This dataset was created utilizing an objective system to inventory locations and names of large submarine canyons on the United States OCS in the Atlantic, Pacific, and Arctic Oceans and the Gulf of Mexico. The objective system utilized bathymetric data for average and maximum width, length and average and maximum depth of canyons to select ‘large’ submarine canyons for inclusion in this study.
2016-07-29T00:00:00