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Short Citation:
Office for Coastal Management, 2022: C-CAP Land Cover, Niihau, Hawaii, https://www.fisheries.noaa.gov/inport/item/48299.

Item Identification

Title: C-CAP Land Cover, Niihau, Hawaii
Short Name: 2010_era_niihau_ccap_lc_hr
Status: Completed
Publication Date: 2013-05-28
Abstract:

This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 10 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Niihau C-CAP data set. The imagery and base classification were included in a multi-step semi-automated change detection process to extract land cover features in the 2010 imagery.

Purpose:

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

Notes:

11411

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION
UNCONTROLLED
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
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > HAWAII
Global Change Master Directory (GCMD) Location Keywords
OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS > NIIHAU
UNCONTROLLED
None Coastal Zone
None Niihau

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: Image (digital)
Distribution Liability:

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

Support Roles

Data Steward

CC ID: 628393
Date Effective From: 2013-05-28
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 628395
Date Effective From: 2013-05-28
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 628396
Date Effective From: 2013-05-28
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 628394
Date Effective From: 2013-05-28
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Acquisition date of the WorldView2 Scenes

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 628399
W° Bound: -160.172181
E° Bound: -160.014059
N° Bound: 22.020617
S° Bound: 21.430681

Extent Group 1 / Time Frame 1

CC ID: 628398
Time Frame Type: Discrete
Start: 2010-01-02

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 628384
Dimension Count: 3
Cell Geometry: Point
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Row
Size: 14683

Axis Dimension 2

Dimension Type: Column
Size: 11146

Axis Dimension 3

Dimension Type: Vertical
Size: 1

Access Information

Security Class: Unclassified
Data Access Constraints:

None

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: 744359
Download URL: https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=4715
Distributor:
File Name: Customized Download
Description:

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

URLs

URL 1

CC ID: 744361
URL: https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires
URL Type:
Online Resource

URL 2

CC ID: 744362
URL: https://coast.noaa.gov/digitalcoast
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 628415
Activity Date/Time: 2016-05-23
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 628414
Activity Date/Time: 2017-11-14
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: 717154
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 744360
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Technical Environment

Description:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.0.4.4000

Data Quality

Accuracy:

Attribute accuracy report does not exist

Horizontal Positional Accuracy:

< 10.7 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 9 (Deciduous Forest), 11 (Mixed Forest), 22 (Palustrine Aquatic Bed), 23 (Estuarine Aquatic Bed), 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 (Class 2)).

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.

Lineage

Sources

C-CAP Land Cover, Niihau, Hawaii

CC ID: 628380
Contact Name: Photo Science. www.photoscience.com.
Publish Date: 2013-05-28
Extent Type: Discrete
Extent Start Date/Time: 2010-01-02
Citation URL: https://coast.noaa.gov/digitalcoast
Source Contribution:

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

Process Steps

Process Step 1

CC ID: 628381
Description:

This data set was created by Photo Science (www.photoscience.com). This version of the classification is the High Resolution Land Cover (2010-era) for Niihau, Hawaii.

This section outlines the classification procedure for the Niihau High Resolution C-CAP. WorldView2 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, outlier change detection process and refinement procedure developed by Photo Science to leverage the 2005 high resolution C-CAP data set to create the 2010 high resolution C-CAP. A calibration visit was not conducted though NOAA had access to local resources for validation. Non impervious features were mapped using a 0.25 acre minimum mapping unit (MMU) and impervious features were mapped using a 0.1 acre MMU.

Pre-processing steps:

The WorldView2 mosaic utilized for this project was provided from Digital Globe as an orthorectified, georeferenced product. Multiple image primitives and indicies such as texture and NDVI were derived from the 8-band satellite data. The imagery was re-sampled from it's native 2m spatial resolution to 2.4m. The 2005 C-CAP classification and the base Quickbird imagery (used in the original mapping) were geometrically corrected to co-register to the WorldView2 data which has a higher geolocation accuracy.

Impervious Update:

The 2005 impervious was over-laid with semi-transparency on the 2010 satellite data. It was panned at a scale of 1:3,500 and manually updated to match the 2010 data. Analysts zoomed in to a larger scale when necessary to perform edits. The product went through a QC procedure to ensure features were accurately captured.

Segmentation and Outlier Detection Process:

The 2010 impervious was combined with the 2005 land cover to create a hybrid data set. Image segmentation, done in Trimble's eCognition software, was completed at multiple scales using the multispectral (2.4 m) imagery in order to group like spectral and textural objects within the imagery. For consistency, the associated hybrid data set was incorporated into the segmentation layer as a boundary delimiter. Segments contained image attributes and a label from the 2005 classification. These data were inputs to a custom multi-variate outlier detection tool that identified objects of potential change. These areas created the change mask.

Training Site Data:

Training data was photo interpreted and collected within the change mask and was super-sampled from features outside of the mask. The referenced data set went through a QA/QC procedure to ensure it met accuracy standards.

Classification:

Automated Classification - Image segments were classified using a decision tree classifier in Rulequest's See5 software based on the training data and image attributes.

Automated Classification Refinement - Models are built to refine or reclassify land cover areas by utilizing the wealth of attribute information linked to each segment within eCognition.

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 labeling as interpreted by an analyst.

Map Finalization - Photo Science used independent reviewer degrees's comments to further refine the land cover map.

Attributes for this product are as follows:

0 Background

1 Unclassified

2 Impervious

3

4

5 Developed, Open Space

6 Cultivated Crops

7 Pasture/Hay

8 Grassland/Herbaceous

9 Deciduous Forest

10 Evergreen Forest

11 Mixed Forest

12 Scrub/Shrub

13 Palustrine Forested Wetland

14 Palustrine Scrub/Shrub Wetland

15 Palustrine Emergent Wetland

16 Estuarine Forested Wetland

17 Estuarine Scrub/Shrub Wetland

18 Estuarine Emergent Wetland

19 Unconsolidated Shore

20 Bare Land

21 Open Water

Process Date/Time: 2013-01-01 00:00:00

Process Step 2

CC ID: 628382
Description:

Metadata imported

Process Date/Time: 2013-05-28 00:00:00

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity Layer_1

Catalog Details

Catalog Item ID: 48299
GUID: gov.noaa.nmfs.inport:48299
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