C-CAP Land Cover, Niihau, Hawaii
Data Set (DS) | Office for Coastal Management (OCM)GUID: gov.noaa.nmfs.inport:48299 | Updated: July 3, 2023 | Published / External
Summary
Short Citation
Office for Coastal Management, 2024: C-CAP Land Cover, Niihau, Hawaii, https://www.fisheries.noaa.gov/inport/item/48299.
Full Citation Examples
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.
Distribution Information
-
Create custom data files by choosing area, map projection, file format, etc.
None
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.
Controlled Theme Keywords
imageryBaseMapsEarthCover, LAND USE/LAND COVER, LAND USE/LAND COVER CLASSIFICATION
Child Items
Type | Title |
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Entity | Layer_1 |
Contact Information
Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-160.172181° W,
-160.014059° E,
22.020617° N,
21.430681° S
2010-01-02
Item Identification
Title: | C-CAP Land Cover, Niihau, Hawaii |
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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 |
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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
|
ISO 19115 Topic Category |
imageryBaseMapsEarthCover
|
UNCONTROLLED | |
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 |
Instrument Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Instrument Keywords |
CAMERAS
|
Platform Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Platform Keywords |
Airplane > Airplane
|
Global Change Master Directory (GCMD) Platform Keywords |
WORLDVIEW-2 > DigitalGlobe WORLDVIEW-2
|
Global Change Master Directory (GCMD) Platform Keywords |
WORLDVIEW-3 > DigitalGlobe WORLDVIEW-3
|
Physical Location
Organization: | Office for Coastal Management |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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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
Date Effective From: | 2013-05-28 |
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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
Date Effective From: | 2013-05-28 |
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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
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
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 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -160.172181 | |
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E° Bound: | -160.014059 | |
N° Bound: | 22.020617 | |
S° Bound: | 21.430681 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Discrete |
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Start: | 2010-01-02 |
Spatial Information
Spatial Representation
Representations Used
Grid: | Yes |
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Grid Representation 1
Dimension Count: | 3 | ||||
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Cell Geometry: | Point | ||||
Transformation Parameters Available?: | No | ||||
Axis Dimension 1 |
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Axis Dimension 2 |
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Axis Dimension 3 |
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Access Information
Security Class: | Unclassified |
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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
Download URL: | https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=4715 |
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Distributor: | |
File Name: | Customized Download |
Description: |
Create custom data files by choosing area, map projection, file format, etc. |
URLs
URL 1
URL: | https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires |
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URL Type: |
Online Resource
|
URL 2
URL: | https://coast.noaa.gov/digitalcoast |
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URL Type: |
Online Resource
|
Activity Log
Activity Log 1
Activity Date/Time: | 2016-05-23 |
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Description: |
Date that the source FGDC record was last modified. |
Activity Log 2
Activity Date/Time: | 2017-11-14 |
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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
Activity Date/Time: | 2018-02-08 |
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Description: |
Partial upload of Positional Accuracy fields only. |
Activity Log 4
Activity Date/Time: | 2018-03-13 |
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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 |
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Data Quality
Accuracy: |
Attribute accuracy report does not exist |
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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
Contact Name: | Photo Science. www.photoscience.com. |
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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
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 |
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Process Date/Time: | 2013-01-01 00:00:00 |
Process Step 2
Description: |
Metadata imported |
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Process Date/Time: | 2013-05-28 00:00:00 |
Child Items
Rubric scores updated every 15m
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Type | Title |
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Entity | Layer_1 |
Catalog Details
Catalog Item ID: | 48299 |
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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: | 2023-07-03 17:07+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 |