C-CAP Land Cover, Territory of Guam 2011

Metadata also available as

Metadata:

Identification_Information
Data_Quality_Information
Entity_and_Attribute_Information
Spatial_Reference_Information
Distribution_Information
Metadata_Reference_Information

Identification_Information:

Dataset_Identifier: gov.noaa.nmfs.inport:48302

Citation:

Citation_Information:

Originator:
Publication_Date: 20171210
Title: C-CAP Land Cover, Territory of Guam 2011
Geospatial_Data_Presentation_Form: Image (digital)
Online_Linkage:: https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=2487
Online_Linkage: https://coast.noaa.gov/digitalcoast
Online_Linkage: https://coast.noaa.gov/ccapftp/

Description:

Abstract:: This data set is a raster file with 15435 columns and 17220 rows and may have been mosaiced, reprojected, and clipped from the original tiles. The data set was generated from a larger data set and includes all valid data within the requested geographic bounds. 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 Guam 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 2011 imagery.
Purpose:: To improve the understanding of coastal uplands and wetlands, and their linkages with the distribution, abundance, and health of living marine resources.
Supplemental_Information:

Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 20110205

Currentness_Reference: Acquisition date of the WorldView2 Scenes

Status:

Progress: Complete
Maintenance_and_Update_Frequency:

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: 144.61810303
East_Bounding_Coordinate: 144.95672607
North_Bounding_Coordinate: 13.654296875100727
South_Bounding_Coordinate: 13.283824770000003

Keywords:

Theme:

Theme_Keyword_Thesaurus: None
Theme_Keyword: Land Cover
Theme_Keyword: Land Cover Analysis
Theme_Keyword: Remotely Sensed Imagery/Photos

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: imageryBaseMapsEarthCover

Theme:

Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD) Platform Keywords
Theme_Keyword: Aircraft > AIRCRAFT
Theme_Keyword: Earth Observation Satellites > WORLDVIEW-2
Theme_Keyword: Earth Observation Satellites > WORLDVIEW-3

Theme:

Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD) Instrument Keywords
Theme_Keyword:: Earth Remote Sensing Instruments > Passive Remote Sensing > Photon/Optical Detectors > Cameras > CAMERAS

Theme:

Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD) Science Keywords
Theme_Keyword: Earth Science > Land Surface > Land Use/Land Cover
Theme_Keyword:: Earth Science > Land Surface > Land Use/Land Cover > Land Use/Land Cover Classification

Place:

Place_Keyword_Thesaurus: None
Place_Keyword: Coastal Zone
Place_Keyword: Guam

Place:

Place_Keyword_Thesaurus: Global Change Master Directory (GCMD) Location Keywords
Place_Keyword:: Ocean > Pacific Ocean > Western Pacific Ocean > Micronesia > Guam

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.

Point_of_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Coastal Management, NOAA Office for
Contact_Organization: Office for Coastal Management

Contact_Address:

Address_Type: mailing
Address: 2234 South Hobson Ave
City: Charleston
State_or_Province: SC
Postal_Code: 29405-2413

Contact_Voice_Telephone: (843) 740-1202

Contact_Electronic_Mail_Address: coastal.info@noaa.gov

Security_Information:

Security_Classification_System:
Security_Classification: Unclassified
Security_Handling_Description:

Native_Data_Set_Environment:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.0.4.4000

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report: Attribute accuracy report does not exist

Logical_Consistency_Report:

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.

Completeness_Report:

Data does not exist for all classes. There are no pixels representing class 9 (Deciduous Forest), 11 (Mixed Forest), 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)).

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Originator: Photo Science. www.photoscience.com.
Publication_Date: 20171210
Title: C-CAP Land Cover, Territory of Guam 2011
Online_Linkage: https://coast.noaa.gov/digitalcoast

Type_of_Source_Media:

Source_Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 20110205

Source_Citation_Abbreviation: src628489

Process_Step:

Process_Description:

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 2005 high resolution C-CAP data set to create the 2011 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 2011 satellite data. It was panned at a scale of 1:3,500 and manually updated to match the 2011 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 2011 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 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

Time_of_Day: 000000

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: NOAA Office for Coastal Management

Contact_Address:

Contact_Voice_Telephone:

Contact_Electronic_Mail_Address: coastal.info@noaa.gov

Process_Step:

Process_Description: Metadata imported

Time_of_Day: 000000

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: NOAA Office for Coastal Management

Contact_Address:

Contact_Voice_Telephone:

Contact_Electronic_Mail_Address: coastal.info@noaa.gov

Process_Step:

Process_Description:: The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using the gdalwarp command (version GDAL 2.2.0, released 2017/04/28). Gdalwarp options included -t_srs '+proj=utm +zone=55 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs' -of GTiff -co COMPRESS=LZW -co TILED=YES -co BIGTIFF=IF_SAFER -co TFW=YES -mo TIFFTAG_SOFTWARE='Digital Coast Data Access Viewer' -r near.
Process_Date: 20171210

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: Layer_1
Entity_Type_Definition:: Island of Guam delineated by WorldView2 Scene(s) collected on February 05, 2011. | Description Source: unknown
Entity_Type_Definition_Source: OCM

Attribute:

Attribute_Label: Value

Attribute_Definition:

Landcover Classification as determined by NOAA Coastal Change Analysis Program (C-CAP) | Description Source: NOAA Office for Coastal Management High-Resolution Land Cover Project

Attribute_Definition_Source: OCM