Short Citation:
National Centers for Coastal Ocean Science, 2021: Digital Elevation Models (DEMs) for the main 8 Hawaiian Islands, https://www.fisheries.noaa.gov/inport/item/38724.

Item Identification

Title: Digital Elevation Models (DEMs) for the main 8 Hawaiian Islands
Short Name: 8main_hawaiin_islands_dem
Status: Completed
Publication Date: 2007
Abstract:

Digital elevation model (DEM) data are arrays of regularly spaced elevation values referenced horizontally either to a Universal Transverse Mercator (UTM) projection or to a geographic coordinate system. The grid cells are spaced at regular intervals along south to north profiles that are ordered from west to east. The U.S. Geological Survey (USGS) produces five primary types of elevation data: 7.5-minute DEM, 30-minute DEM, 1-degree DEM.These datasets were derived from USGS 7.5' DEM Quads for the main 8 Hawaiian Islands. Individual DEM quads were converted to a common datum, and vertical unit, and subsequently mosaicked in ArcGIS 9.x. The DEM for Hawaii (Big Island) has a coordinate system of NAD83 UTM5N. The DEM for the remaining 7 islands (Maui, Kahoolawe, Lanai, Molokai, Oahu, Kauai and Niihau) have a coordinate system of NAD83 UTM4N. All rasters have a spatial resolution of 10 meters and are in the ESRI grid format. On this metadata sheet, the bounding coordinates and row and column counts are for a hypothetical 10m grid that would contain the 8 main Hawaiian Islands. For bounding coordinates and the number of rows and columns for each actual, individual DEM, users should consult their respective layer properties.

Purpose:

These datasets were created to be used in GIS for visualization and analysis.

Notes:

415

Supplemental Information:

For more infomration regarding digital elevation models, please refer to the following URL: http://erg.usgs.gov/isb/pubs/factsheets/fs04000.html

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category 006
ISO 19115 Topic Category 007
ISO 19115 Topic Category 008
ISO 19115 Topic Category 010
ISO 19115 Topic Category elevation
ISO 19115 Topic Category environment
ISO 19115 Topic Category geoscientificInformation
ISO 19115 Topic Category imageryBaseMapsEarthCover
NOS Data Explorer Topic Category Bathymetry/Topography
None 2007 Hawaiian Benthic Habitat Maps

Temporal Keywords

Thesaurus Keyword
None 2007

Spatial Keywords

Thesaurus Keyword
CoRIS Place Keyword Thesaurus COUNTRY/TERRITORY > United States of America > Hawaii > Hawaii > Hawaii Island (19N155W0003)
CoRIS Place Keyword Thesaurus COUNTRY/TERRITORY > United States of America > Hawaii > Hawaii > Kauai Island (22N159W0001)
CoRIS Place Keyword Thesaurus COUNTRY/TERRITORY > United States of America > Hawaii > Hawaii > Molokai Island (21N157W0001)
CoRIS Place Keyword Thesaurus COUNTRY/TERRITORY > United States of America > Hawaii > Honolulu > Oahu (21N157W0003)
CoRIS Place Keyword Thesaurus COUNTRY/TERRITORY > United States of America > Hawaii > Kalawao > Kahoolawe Island (20N156W0001)
CoRIS Place Keyword Thesaurus COUNTRY/TERRITORY > United States of America > Hawaii > Kauai > Niihau Island (21N160W0001)
CoRIS Place Keyword Thesaurus COUNTRY/TERRITORY > United States of America > Hawaii > Maui > Lanai Island (20N156W0002)
CoRIS Place Keyword Thesaurus COUNTRY/TERRITORY > United States of America > Hawaii > Maui > Maui Island (20N156W0004)
CoRIS Place Keyword Thesaurus OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Hawaii Island > Hawaii Island (19N155W0003)
CoRIS Place Keyword Thesaurus OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Kahoolawe Island > Kahoolawe Island (20N156W0001)
CoRIS Place Keyword Thesaurus OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Kauai Island > Kauai Island (22N159W0001)
CoRIS Place Keyword Thesaurus OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Lanai Island > Lanai Island (20N156W0002)
CoRIS Place Keyword Thesaurus OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Maui Island > Maui Island (20N156W0004)
CoRIS Place Keyword Thesaurus OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Molokai Island > Molokai Island (21N157W0001)
CoRIS Place Keyword Thesaurus OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Niihau Island > Niihau Island (21N160W0001)
CoRIS Place Keyword Thesaurus OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Oahu Island > Oahu (21N157W0003)
None Big Island
None Hawaii
None Hawaiian Islands
None Kahoolawe
None Kauai
None Lanai
None Maui
None Molokai
None Niihau
None Oahu

Physical Location

Organization: National Centers for Coastal Ocean Science
City: Silver Spring
State/Province: MD

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Data Presentation Form: raster digital data
Distribution Liability:

These data were prepared by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed in this report, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Any views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Although all data have been used by NOAA, no warranty, expressed or implied, is made by NOAA as to the accuracy of the data and/or related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by NOAA in the use of these data or related materials.

Data Set Credit: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch

Support Roles

Data Steward

CC ID: 439056
Date Effective From: 2007
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Distributor

CC ID: 439058
Date Effective From: 2007
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Metadata Contact

CC ID: 439059
Date Effective From: 2007
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Point of Contact

CC ID: 439057
Date Effective From: 2007
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Principal Investigator

CC ID: 439060
Date Effective From: 2007
Date Effective To:
Contact (Person): Battista, Tim
Email Address: tim.battista@noaa.gov

Extents

Currentness Reference: Publication Date

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 439063
W° Bound: -160.247
E° Bound: -154.807
N° Bound: 22.228
S° Bound: 18.911

Extent Group 1 / Time Frame 1

CC ID: 439062
Time Frame Type: Discrete
Start: 2007-09

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 583936
Dimension Count: 3
Cell Geometry: Area
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Row
Size: 57300

Axis Dimension 2

Dimension Type: Column
Size: 39900

Axis Dimension 3

Dimension Type: Vertical
Size: 1

Access Information

Security Class: Unclassified
Data Access Constraints:

Please cite the National Oceanic & Atmospheric Administration.

Data Use Constraints:

These data were prepared by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed in this report, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Any views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Although all data have been used by NOAA, no warranty, expressed or implied, is made by NOAA as to the accuracy of the data and/or related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by NOAA in the use of these data or related materials.

Distribution Information

Distribution 1

CC ID: 439064
Download URL: http://ccma.nos.noaa.gov/products/biogeography/hawaii_cd_07/data/
Distributor:
Description:

Downloadable Data

File Type: ESRI Grid
File Size: 767.053

URLs

URL 2

CC ID: 439053
URL: http://ccma.nos.noaa.gov/products/biogeography/hawaii_cd_07/data/
URL Type:
Online Resource

URL 3

CC ID: 439054
URL: http://ccma.nos.noaa.gov/products/biogeography/hawaii_cd_07/
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 439103
Activity Date/Time: 2012-04-19
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 439102
Activity Date/Time: 2017-04-05
Description:

Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 583934
Activity Date/Time: 2017-09-13
Description:

Partial upload of Spatial Info section only.

Activity Log 4

CC ID: 716415
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Technical Environment

Description:

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.2.1350

Data Quality

Accuracy:

The accuracy of DEM data depends on the source and resolution of the data samples. DEM data accuracy is derived by comparing linear interpolation elevations in the DEM with corresponding map location elevations and computing the statistical standard deviation or root-mean-square error (RMSE). The RMSE is used to describe the DEM accuracy. For 7.5-minute DEM's derived from a photogrammetric source, 90 percent have a vertical accuracy of 7-meter RMSE or better and 10 percent are in the 8- to 15-meter range. For 7.5- and 15-minute DEM's derived from vector or DLG hypsographic and hydrographic source data, an RMSE of one-half of a contour interval or better is required. The 1-degree DEM data have an absolute accuracy of 130 meters horizontally and 30 meters vertically.

Horizontal Positional Accuracy:

The accuracy of DEM data depends on the source and resolution of the data samples. DEM data accuracy is derived by comparing linear interpolation elevations in the DEM with corresponding map location elevations and computing the statistical standard deviation or root-mean-square error (RMSE). The RMSE is used to describe the DEM accuracy. For 7.5-minute DEM's derived from a photogrammetric source, 90 percent have a vertical accuracy of 7-meter RMSE or better and 10 percent are in the 8- to 15-meter range. For 7.5- and 15-minute DEM's derived from vector or DLG hypsographic and hydrographic source data, an RMSE of one-half of a contour interval or better is required. The 1-degree DEM data have an absolute accuracy of 130 meters horizontally and 30 meters vertically.

Vertical Positional Accuracy:

The accuracy of DEM data depends on the source and resolution of the data samples. DEM data accuracy is derived by comparing linear interpolation elevations in the DEM with corresponding map location elevations and computing the statistical standard deviation or root-mean-square error (RMSE). The RMSE is used to describe the DEM accuracy. For 7.5-minute DEM's derived from a photogrammetric source, 90 percent have a vertical accuracy of 7-meter RMSE or better and 10 percent are in the 8- to 15-meter range. For 7.5- and 15-minute DEM's derived from vector or DLG hypsographic and hydrographic source data, an RMSE of one-half of a contour interval or better is required. The 1-degree DEM data have an absolute accuracy of 130 meters horizontally and 30 meters vertically.

Completeness Report:

These ESRI Grids were mosaiced from several 7.5' quad DEMs. The 7.5-minute DEM's cast on the UTM projection system are referenced to the North American Datum of 1983 (NAD 83). These data are stored as profiles with a 10-meter square grid spacing along and between each profile. Data profiles for this product do not always have the same number of elevations because of the variable angle between true north and grid north in the UTM coordinate system.

Conceptual Consistency:

All users should independently analyze the dataset according to their own needs and standards to determine data usability.

Lineage

Process Steps

Process Step 1

CC ID: 439049
Description:

The USGS has used four methods to collect DEM data. Of these methods, only one, interpolation from vectors or digital line graph (DLG) hypsographic and hydrographic data, is currently used for 7.5-minute DEM's and other series DEM's.

Process Step 2

CC ID: 439050
Description:

Individual quad DEM's were converted to a common projection, datum, and vertical unit, then mosaicked together in ArcGIS 9.x. They were subsequently clipped to each island's shoreline and exported as ESRI raster grids.

Process Date/Time: 2007-01-01 00:00:00

Catalog Details

Catalog Item ID: 38724
Metadata Record Created By: Tyler Christensen
Metadata Record Created: 2017-04-05 12:48+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2019-06-04 13:14+0000
Metadata Record Published: 2018-02-08
Owner Org: NCCOS
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Next Review Date: 2019-02-09