53580
C-CAP, Guam, 2011-2016 Land Cover Change Analysis
2011-2016_era_guam_landcover_change
Data Set
Published / External
47841
C-CAP
Project
Completed
2018-09-07
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.
To improve the understanding of coastal uplands and wetlands, and their linkages with the distribution, abundance, and health of living marine resources.
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION
Theme
ISO 19115 Topic Category
imageryBaseMapsEarthCover
Spatial
Global Change Master Directory (GCMD) Location Keywords
OCEAN > PACIFIC OCEAN > WESTERN PACIFIC OCEAN > MICRONESIA > NORTHERN MARIANA ISLANDS
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
CAMERAS
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Platform
Global Change Master Directory (GCMD) Platform Keywords
WORLDVIEW-2 > DigitalGlobe WORLDVIEW-2
Platform
Global Change Master Directory (GCMD) Platform Keywords
WORLDVIEW-3 > DigitalGlobe WORLDVIEW-3
Theme
Land Cover
Theme
Land Cover Analysis
Theme
Remotely Sensed Imagery/Photos
Spatial
Coastal Zone
Spatial
Guam
Office for Coastal Management
Charleston
SC
Data Set
5 years
Image (digital)
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.
NOAA Office for Coastal Management
Data Steward
2018-09-07
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2018-09-07
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2018-09-07
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2018-09-07
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Acquisition date of the WorldView Scenes
144.609086
144.976095
13.667695
13.224058
Range
2011-02-05
2016-01-01
Yes
3
Point
No
Row
4166
Column
7703
Vertical
1
Unclassified
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.
https://coast.noaa.gov/dataviewer/#/landcover/search/where:ID=8700
Data Access Viewer
Online Resource
https://coast.noaa.gov/digitalcoast/data/ccaphighres
Online Resource
https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires
Online Resource
2017-11-13
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.
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.2.2.1350
Attribute accuracy report does not exist
12 meters CE90
There was no terrain correction in the geo-referencing procedure.
Data does not exist for all classes.
Many classes of from-to change never occurred inGuam.
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 Guam, 2011-2016 Land Cover Change Analysis
Organization
Office for Coastal Management, OCM
2018-09-07
Range
2011-02-05
2016-01-01
https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=8479
NOAA OCM | Source Geospatial Form: remote-sensing image | Type of Source Media: DVD/CD-ROM
1
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.
2013-02-08T00:00:00
2
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
2012-08-05T00:00:00
3
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
2018-03-08T00:00:00
gov.noaa.nmfs.inport:53580
Erik Hund
2018-09-07T07:30:52
SysAdmin InPortAdmin
2023-07-03T17:07:52
2019-03-22
Office for Coastal Management
OCM
1002
Public
No
2019-03-22
1 Year
2020-03-22