C-CAP, Guam, 2005-2016 Land Cover Change Analysis
Data Set (DS) | Office for Coastal Management (OCM)GUID: gov.noaa.nmfs.inport:55842 | Updated: July 3, 2023 | Published / External
Summary
Short Citation
Office for Coastal Management, 2024: C-CAP, Guam, 2005-2016 Land Cover Change Analysis, https://www.fisheries.noaa.gov/inport/item/55842.
Full Citation Examples
This data set contains the 2005 and 2016 classifications of Guam and can be used to analyze change. This data set utilized utilized several full or partial WorldView2 multispectral scenes and the 2005 high-resolution Guam C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.
Distribution Information
No Distributions available.
Access Constraints: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
No Child Items for this record.
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
144.609086° W,
144.976095° E,
13.667695° N,
13.224058° S
2006-05-01 - 2016-01-01
Item Identification
Title: | C-CAP, Guam, 2005-2016 Land Cover Change Analysis |
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Status: | Completed |
Publication Date: | 2019-03-12 |
Abstract: |
This data set contains the 2005 and 2016 classifications of Guam and can be used to analyze change. This data set utilized utilized several full or partial WorldView2 multispectral scenes and the 2005 high-resolution Guam C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. |
Purpose: |
To improve the understanding of coastal uplands and wetlands, and their linkages with the distribution, abundance, and health of living marine resources. |
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 |
OCEAN > PACIFIC OCEAN > WESTERN PACIFIC OCEAN > MICRONESIA > NORTHERN MARIANA ISLANDS
|
UNCONTROLLED | |
None | Coastal Zone |
None | Guam |
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: |
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. |
Data Set Credit: | NOAA Office for Coastal Management |
Support Roles
Data Steward
Date Effective From: | 2019-03-12 |
---|---|
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: | 2019-03-12 |
---|---|
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: | 2019-03-12 |
---|---|
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: | 2019-03-12 |
---|---|
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 WorldView Scenes |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | 144.609086 | |
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E° Bound: | 144.976095 | |
N° Bound: | 13.667695 | |
S° Bound: | 13.224058 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2006-05-01 |
End: | 2016-01-01 |
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. |
URLs
URL 1
URL: | https://coast.noaa.gov/digitalcoast/data/ccaphighres |
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URL Type: |
Online Resource
|
URL 2
URL: | https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires |
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URL Type: |
Online Resource
|
URL 3
URL: | https://coast.noaa.gov/dataviewer/#/landcover/search/where:ID=8699 |
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Name: | Data Access Viewer |
URL Type: |
Online Resource
|
Activity Log
Activity Log 1
Activity Date/Time: | 2017-11-14 |
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Description: |
Converted from FGDC Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. |
Technical Environment
Description: |
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.2.2.1350 |
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Data Quality
Accuracy: |
Attribute accuracy report does not exist |
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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. Many classes of from-to change never occurred inGuam. |
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 Guam, 2005-2016 Land Cover Change Analysis
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | Office for Coastal Management, OCM |
Publish Date: | 2018-09-07 |
Extent Type: | Range |
Extent Start Date/Time: | 2006-05-01 |
Extent End Date/Time: | 2016-01-01 |
Source Contribution: |
NOAA OCM | Source Geospatial Form: remote-sensing image | Type of Source Media: DVD/CD-ROM |
Process Steps
Process Step 1
Description: |
Early Date Classification: This data set was created by Photo Science (www.photoscience.com). This version of the classification is the High Resolution Land Cover (2005-era) for the Territory of Guam. This section outlines the classification procedure for the Guam 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 2016 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 2016 satellite data. It was panned at a scale of 1:3,500 and manually updated to match the 2016 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 2016 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. |
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Process Date/Time: | 2018-03-01 00:00:00 |
Process Step 2
Description: |
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 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 22 Palustrine Acquatic Bed |
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Process Date/Time: | 2012-08-05 00:00:00 |
Process Step 3
Description: |
This data set was created by Quantum Spatial, Inc. (https://quantumspatial.com/). This version of the classification is the High Resolution Land Cover (2016-era) for the Territory of Guam. This section outlines the classification procedure for the Guam High Resolution C-CAP. WorldView3 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, automated image segmentation, and manual extraction of change and land cover using the 2005 high resolution C-CAP data set, the 2006 WorldView2 imagery, the 2015-2016 WorldView3 imagery, and ancillary data sources to create the 2016 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 WorldView3 mosaic utilized for this project was provided NOAA as an orthorectified, georeferenced product. The imagery was re-sampled from its native 1.2m spatial resolution to 2.4m to match the spatial resolution of the 2005 C-CAP Land Cover product. Impervious Update: The 2016 impervious was over-laid with semi-transparency on the 2015-2016 WorldView3 satellite data. It was panned at a scale of 1:4,500 and manually updated to match the 2015-2016 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. Image Segmentation: The 2016 impervious was combined with the 2005 land cover to create a hybrid data set. Image segmentation, done in Trimble's eCognition software, was performed at multiple scales using the WorldView3 imagery and existing land cover with updated impervious in order to group like spectral and textural objects within the imagery. The image segments were exported and then brought into ArcGIS. A manual interpretation process was used to collect segments as areas of change. These areas created the change mask. Classification: Classification - As segments were collected for change, a land cover class was also assigned to the segment to indicate its new 2016 land cover classification. Map Finalization - Quantum Spatial used independent reviewer’s comments and NOAA's review comments to further refine the land cover map. Various models and processing tools were also used during this refinement process, such as creating and reviewing a 2005-2016 change matrix and identifying illogical change pixels based on to and from land cover combinations. 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 22 Palustrine Aquatic Bed 23 Estuarine Aquatic Bed 24 Tundra 25 Snow/Ice |
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Process Date/Time: | 2018-03-08 00:00:00 |
Catalog Details
Catalog Item ID: | 55842 |
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GUID: | gov.noaa.nmfs.inport:55842 |
Metadata Record Created By: | Erik Hund |
Metadata Record Created: | 2019-03-12 10:44+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-07-03 17:07+0000 |
Metadata Record Published: | 2019-03-12 |
Owner Org: | OCM |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2019-03-12 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2020-03-12 |