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Item Identification
Keywords
Physical Location
Data Set Info
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Spatial Info
Access Info
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Activity Log
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Lineage
Catalog Details

Summary

Short Citation
Office for Coastal Management, 2024: C-CAP, Guam, 2011-2016 Land Cover Change Analysis, https://www.fisheries.noaa.gov/inport/item/53580.
Full Citation Examples

Abstract

This data set contains the 2011 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 2011 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

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.

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

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

144.609086° W, 144.976095° E, 13.667695° N, 13.224058° S

Time Frame 1
2011-02-05 - 2016-01-01

Item Identification

Title: C-CAP, Guam, 2011-2016 Land Cover Change Analysis
Short Name: 2011-2016_era_guam_landcover_change
Status: Completed
Publication Date: 2018-09-07
Abstract:

This data set contains the 2011 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 2011 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
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
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:

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

CC ID: 771535
Date Effective From: 2018-09-07
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: 771537
Date Effective From: 2018-09-07
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: 771538
Date Effective From: 2018-09-07
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: 771536
Date Effective From: 2018-09-07
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

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 771533
W° Bound: 144.609086
E° Bound: 144.976095
N° Bound: 13.667695
S° Bound: 13.224058

Extent Group 1 / Time Frame 1

CC ID: 771532
Time Frame Type: Range
Start: 2011-02-05
End: 2016-01-01

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 771547
Dimension Count: 3
Cell Geometry: Point
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Row
Size: 4166

Axis Dimension 2

Dimension Type: Column
Size: 7703

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.

URLs

URL 1

CC ID: 771539
URL: https://coast.noaa.gov/digitalcoast/data/ccaphighres
URL Type:
Online Resource

URL 2

CC ID: 771540
URL: https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires
URL Type:
Online Resource

URL 3

CC ID: 771541
URL: https://coast.noaa.gov/dataviewer/#/landcover/search/where:ID=8700
Name: Data Access Viewer
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 771542
Activity Date/Time: 2017-11-14
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

Data Quality

Accuracy:

Attribute accuracy report does not exist

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, 2011-2016 Land Cover Change Analysis

CC ID: 771551
Contact Type: Organization
Contact Name: Office for Coastal Management, OCM
Publish Date: 2018-09-07
Extent Type: Range
Extent Start Date/Time: 2011-02-05
Extent End Date/Time: 2016-01-01
Citation URL: https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=8479
Source Contribution:

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

Process Steps

Process Step 1

CC ID: 771552
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 (2011-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 2011 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 2011 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 2011 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 2011 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 2011 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.

Process Date/Time: 2013-02-08 00:00:00

Process Step 2

CC ID: 771563
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

Process Date/Time: 2012-08-05 00:00:00

Process Step 3

CC ID: 771553
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 2011 high resolution C-CAP data set, the 2011 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 2011 C-CAP Land Cover product.

Impervious Update:

The 2011 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 2011 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 2011-2016 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

Process Date/Time: 2018-03-08 00:00:00

Catalog Details

Catalog Item ID: 53580
GUID: gov.noaa.nmfs.inport:53580
Metadata Record Created By: Erik Hund
Metadata Record Created: 2018-09-07 07:30+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-07-03 17:07+0000
Metadata Record Published: 2019-03-22
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2019-03-22
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2020-03-22