gov.noaa.nmfs.inport:53580 eng UTF8 dataset Office for Coastal Management resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2024-02-29T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 3 row 4166 column 7703 vertical 1 point 0 C-CAP, Guam, 2011-2016 Land Cover Change Analysis 2011-2016_era_guam_landcover_change 2018-09-07 publication NOAA/NMFS/EDM 53580 https://www.fisheries.noaa.gov/inport/item/53580 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://coast.noaa.gov/digitalcoast/data/ccaphighres WWW:LINK-1.0-http--link Citation URL Online Resource download https://coast.noaa.gov/dataviewer/#/landcover/search/where:ID=8700 WWW:LINK-1.0-http--link Data Access Viewer Online Resource download https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires WWW:LINK-1.0-http--link Citation URL Online Resource download imageDigital 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. NOAA Office for Coastal Management completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian 5 years EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 OCEAN > PACIFIC OCEAN > WESTERN PACIFIC OCEAN > MICRONESIA > NORTHERN MARIANA ISLANDS place Global Change Master Directory (GCMD) Location Keywords 20.8 CAMERAS instrument Global Change Master Directory (GCMD) Instrument Keywords 17.2 Airplane > Airplane WORLDVIEW-2 > DigitalGlobe WORLDVIEW-2 WORLDVIEW-3 > DigitalGlobe WORLDVIEW-3 platform Global Change Master Directory (GCMD) Platform Keywords 17.2 Land Cover Land Cover Analysis Remotely Sensed Imagery/Photos theme Coastal Zone Guam place DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian C-CAP project InPort otherRestrictions Cite As: Office for Coastal Management, [Date of Access]: C-CAP, Guam, 2011-2016 Land Cover Change Analysis [Data Date Range], https://www.fisheries.noaa.gov/inport/item/53580. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: None otherRestrictions 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. otherRestrictions 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. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 53580 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/53580.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference grid eng; US imageryBaseMapsEarthCover Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.2.2.1350 144.609086 144.976095 13.224058 13.667695 | Currentness: Acquisition date of the WorldView Scenes 2011-02-05 2016-01-01 NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/digitalcoast/data/ccaphighres WWW:LINK-1.0-http--link https://coast.noaa.gov/digitalcoast/data/ccaphighres Online Resource download https://coast.noaa.gov/dataviewer/#/landcover/search/where:ID=8700 WWW:LINK-1.0-http--link Data Access Viewer Online Resource download https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires WWW:LINK-1.0-http--link https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires Online Resource download dataset 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. 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 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 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 Source Contribution: NOAA OCM | Source Geospatial Form: remote-sensing image | Type of Source Media: DVD/CD-ROM C-CAP Guam, 2011-2016 Land Cover Change Analysis 2018-09-07 publication Office for Coastal Management, OCM https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=8479 WWW:LINK-1.0-http--link Source Citation URL Source Citation URL information 2011-02-05 2016-01-01