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Short Citation:
Office for Coastal Management, 2022: 2005 C-CAP Land Cover of Oahu, Hawaii,

Item Identification

Title: 2005 C-CAP Land Cover of Oahu, Hawaii
Short Name: 2005_era_oahu_ccap_lc_hr
Status: Completed
Publication Date: 2014-06-24

This data set consists of land cover derived from high resolution imagery according to the Coastal Change Analysis Program (C-CAP) protocol. This data set utilized 29 full or partial Quickbird multispectral scenes which were processed to detect C-CAP land cover features on the island of Oahu.


To improve the understanding of coastal uplands and wetlands, and their linkages with the distribution, abundance, and health of living marine resources.




Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
Global Change Master Directory (GCMD) Science Keywords
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Passive Remote Sensing > Photon/Optical Detectors > Cameras > CAMERAS
Global Change Master Directory (GCMD) Platform Keywords Aircraft > AIRCRAFT
Global Change Master Directory (GCMD) Platform Keywords Earth Observation Satellites > WORLDVIEW-2
Global Change Master Directory (GCMD) Platform Keywords Earth Observation Satellites > WORLDVIEW-3
ISO 19115 Topic Category imageryBaseMapsEarthCover
None Land Cover
None Land Cover Analysis
None Remotely Sensed Imagery/Photos

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
Global Change Master Directory (GCMD) Location Keywords
None Coastal Zone
None Hawaii
None Honolulu County
None Oahu

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Note:

5 years

Data Presentation Form: Map (digital)
Distribution Liability:

Users must assume responsibility to determine the usability of these data.

Support Roles

Data Steward

CC ID: 627554
Date Effective From: 2014-06-24
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


CC ID: 627556
Date Effective From: 2014-06-24
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Metadata Contact

CC ID: 627557
Date Effective From: 2014-06-24
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Point of Contact

CC ID: 627555
Date Effective From: 2014-06-24
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


Currentness Reference: Acquisition date of the Quickbird Scenes

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 627560
W° Bound: -158.287559
E° Bound: -157.624997
N° Bound: 21.714257
S° Bound: 21.243777

Extent Group 1 / Time Frame 1

CC ID: 627559
Time Frame Type: Discrete
Start: 2005-12-31

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 627545
Dimension Count: 3
Cell Geometry: Point
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Row
Size: 21511

Axis Dimension 2

Dimension Type: Column
Size: 28460

Axis Dimension 3

Dimension Type: Vertical
Size: 1

Access Information

Security Class: Unclassified
Data Access Constraints:


Data Use Constraints:

Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, NOAA, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

Distribution Information

Distribution 1

CC ID: 744274
Download URL:
File Name: Customized Download

Create custom data files by choosing area, map projection, file format, etc.



CC ID: 744276
URL Type:
Online Resource


CC ID: 744277
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 627578
Activity Date/Time: 2017-02-22

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 627577
Activity Date/Time: 2017-11-14

Converted from FGDC (Federal Geographic Data Committee) CSDGM (Content Standard for Digital Geospatial Metadata) (version FGDC-STD-001-1998) using '' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 717130
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 744275
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Technical Environment


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

Data Quality


According to accuracy assessment performed by staff at the Pacific Services Center, the overall accuracy for the classification is 71.54% * (This does not include classes 13,14,15,16,17,18, 19 and 22). The accuracy of the wetland classes will be assessed during 2008.

Each class accuracy is as follows: (Errors of Omission/Commission)

0 Background (N/A)

1 Unclassified (Cloud, Shadow, etc)(N/A)

2 Impervious Surfaces (90% - assessed as a binary map during 2006)

5 Open Spaces Developed (84%/83%)

6 Cultivated Land (93%/75%)

8 Grassland (64%/51%)

10 Evergreen Forest (80%/81%)

12 Scrub/Shrub (48%/72%)

13 Palustrine Forested Wetland (N/A)

14 Palustrine Scrub/Shrub Wetland (N/A)

15 Palustrine Emergent Wetland (N/A)

16 Estuarine Forested Wetland (N/A)

17 Estuarine Scrub/Shrub Wetland (N/A)

18 Estuarine Emergent Wetland (N/A)

19 Unconsolidated Shore (N/A)

20 Bare Land (83%/74%)

21 Water (N/A)

22 Palustrine Aquatic Bed (N/A)

23 Estuarine Aquatic Bed (N/A)

The sampling procedure for this accuracy assessment involved employing a stratified random approach. Samples points were generated on image objects within the final land cover file that were equal to or larger than the Minimum Mapping Unit (MMU) of 0.5 acres. These points were then reviewed for accuracy and placement by NOAA Office for Coastal Management staff. Points that were too close to feature boundaries or in a couple of cases, landed on a feature that was below the MMU were deleted. No points were added or changed, only deleted. AA Points were photo interpreted by 3 Pacific Services Center analysts. Points where analysts disagreed were discussed and/or visited in the field to achieve consensus on the land cover call. Once quality control was complete, the reference points were compared to the final map to compute the statistics provided above.

Horizontal Positional Accuracy:

12 meters CE90

Vertical Positional Accuracy:

There was no terrain correction in the geo-referencing procedure.

Completeness Report:

Data does not exist for all classes.

There are no pixels representing class 7 (Pasture/Hay), 24 (Tundra), 25 (Perennial Ice/Snow), 26 (Dwarf Scrub - Alaska specific class), 27 (Sedge/Herbaceous), and 28 (Moss - Alaska specific). Developed classes have been altered to exclude the percentage breakdown of impervious surfaces as the breakdown is not appropriate for high resolution mapping (Developed High Intensity (2), Developed Medium Intensity (3), and Developed Low Intensity (4) are reduced to Impervious Surfaces (Class 2)). Mixed Forest (11) was also determined not be appropriate for this map since no mixed pixels existed at this spatial resolution.

Conceptual Consistency:

Tests for logical consistency indicate that all row and column positions in the selected latitude/longitude window contain data. Conversion and integration with vector files indicates that all positions are consistent with earth coordinates covering the same area. Attribute files are logically consistent.



C-CAP Oahu, Hawaii. Land Cover Project

CC ID: 627541
Contact Name: Sanborn.
Publish Date: 2007-05-15
Extent Type: Discrete
Extent Start Date/Time: 2005-12-31
Citation URL:
Source Contribution:

NOAA OCM | Source Geospatial Form: remote-sensing image | Type of Source Media: DVD/CD-ROM

Process Steps

Process Step 1

CC ID: 627542

This section outlines the classification procedure for the Oahu High Resolution C-CAP. Quickbird imagery used in producing this land cover product was also utilized in producing an associated impervious surfaces layer for the island. The mapping approach utilized a boundary summary and refinement procedure developed by Sanborn to leverage previous C-CAP mapping efforts to create the high resolution land cover data set. While a calibration visit was required, the use of training data for classification of specific land cover classes was minimal. Non impervious features were mapped using a 0.5 acre minimum mapping unit (MMU).

Pre-processing steps:

The Quickbird mosaic utilized for this project was provided from Digital Globe as an orthorectifed, georeferenced product and was consistent with the quoted 1:12000 spatial accuracy. In conjunction with the Quickbird mosaic, Sanborn used an air photo mosaic from the USGS for the island collected in 2004. High resolution topographic data was also provided to Sanborn in the form of a DTM created from a 5m IfSAR collect for the island. The Orthorectified Radar Image (ORI) was also utilized.

Field-Collected Data:

While a calibration visit was required, the use of training data for classification of specific land cover classes was minimal. 5 days were spent by Sanborn and NOAA staff, travelling sections of the island collecting point locations and digital photographs for various land cover types.

Initial Segmentation:

This was performed at multiple scales using the multispectral (2.4 m) imagery in order to group like spectral and textural objects within the imagery. The initial segments were created at a larger scale (scale refers to the target size and shape of like features generalized by Definiens software) of 100. Larger segments are required to leverage the 30 m data sets and incorporate the IfSAR data that is collected at spatial resolution of 5 m. For consistency, the associated impervious data set was incorporated into the segmentation layer as a boundary delimiter. Segments can share boundaries of an impervious surface, but can never overlap an impervious surface.

Rule set Creation:

An initial map of the island of Oahu was created by incorporating an existing C-CAP 2001 land cover data set into the derived image objects through a logical rule set created by a Sanborn analyst. The rules are created such that image segments are labelled to the C-CAP classification scheme based on their underlying medium resolution components.

Process Date/Time: 2014-06-19 00:00:00

Process Step 2

CC ID: 627543

Initial Label and Edits:

The automated labelling procedure created a reasonable representation of land cover using the labelling routine, however errors did occur. Gross inaccuracies in the data product that would inhibit the further classification of the segments at a smaller scale factor were corrected through knowledge based models or manual edits.

Secondary Segmentation:

Further refinement of the map was only possible though classification of the image segments directly. Classification of the image segments is a hierarchical process, whereby larger scale segments are composed of smaller scale segments. The initial segmentation was used to further aid in the automated classification of the secondary (more detailed) image segments. The final scale factor for the mosaic was 50. In some cases where further detail was required, the scale factor was reduced to 35.

Automated Classification:

Automated classification of the image segments was accomplished through process modeling incorporated within Definiens software. Models were built to refine or reclassify land cover areas by utilizing the wealth of attribute information linked to each segment within Definiens. In a small amount of cases, the nearest neighbor classification routine was used to refine segments. Nearest neighbor training data was collected through analyst interpretation or ancillary data sets and used to calibrate the classification algorithm.

Automated Classification Edits:

As with any automated or semi-automated land cover classification there are often inconsistencies in the land cover map. The final step before map finalization was to remove inaccuracies through manual segment labelling as interpreted by an analyst.

Map Finalization:

Sanborn used an independent reviewer's comments to further refine the land cover map

Wetland Class Development:

It was the responsibility of NOAA to incorporate the wetland classes into the final land cover map produced by Sanborn. To accomplish this task, NOAA utilized an updated National Wetland Inventory (NWI) dataset that was completed during 2007. This required cross-walking all of the NWI classes to the C-CAP scheme and rasterizing for use within an ERDAS Imagine Spatial Model. A zonal analysis was performed on this NWI raster layer using image objects generated from the 2.4m Quickbird imagery. The objects were derived using a scale factor of 25 since more detail was required to properly characterize the islands wetland features Information from the zonal analysis was used to create percent layers for each C-CAP wetland class. The resulting layers depicted the amount of wetland occupying an image object with a percentage estimate. Each layer was recoded based on an analyst determined threshold and inserted into Sanborn's final land cover map.

Manual Editing:

The final map with wetland information was reviewed again by NOAA analysts to identify site specific errors. Once these locations were compiled, corrections were made manually through heads up digitizing and the seed tool in ERDAS Imagine.

Post processing:

The change detection process used to create the 2011 Oahu C-CAP product highlighted some errors in the 2005 land cover map. To create a more accurate product these issues we addressed by NOAA through a combination of spatial models and manual edits. While the changes may not be large in area and/or be directly reflected in the accuracy assessment, we feel the products more accurately reflect the land cover for the time period.

Process Date/Time: 2014-06-19 00:00:00

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity Layer_1

Catalog Details

Catalog Item ID: 48276
GUID: gov.noaa.nmfs.inport:48276
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-14 14:38+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2018-03-13
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2018-03-13
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2019-03-13