C-CAP Land Cover, Southern Puget Sound, Washington, 2017
Data Set (DS) | Office for Coastal Management (OCM)GUID: gov.noaa.nmfs.inport:69502 | Updated: July 3, 2023 | Published / External
Summary
Short Citation
Office for Coastal Management, 2024: C-CAP Land Cover, Southern Puget Sound, Washington, 2017, https://www.fisheries.noaa.gov/inport/item/69502.
Full Citation Examples
The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats through time. The timeframe for this metadata is summer 2016. These maps are developed utilizing high resolution aerial imagery, along with lidar and various available ancillary information, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions.
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
-123.75305555556° W,
-121.26777777778° E,
48.25722222222° N,
46.51777777778° S
2017
Item Identification
Title: | C-CAP Land Cover, Southern Puget Sound, Washington, 2017 |
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Status: | Completed |
Publication Date: | 2021-12-08 |
Abstract: |
The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats through time. The timeframe for this metadata is summer 2016. These maps are developed utilizing high resolution aerial imagery, along with lidar and various available ancillary information, and can be used to track changes in the landscape through time. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions. |
Purpose: |
C-CAP is dedicated to the development, distribution, and application of land cover and change data for the coastal regions of the U.S. |
Notes: |
C-CAP data sets are not jurisdictional or intended for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the limits of current technology, NOAA cannot assume liability for any damages or misrepresentations caused by 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. This is a national and regional data set that should be used only as a screening tool for very local or site-specific management decisions. Small features and changes should be verified with a higher-resolution data source. |
Other Citation Details: |
USE RESTRICTIONS: This land cover data may not be used for the purpose of creating, training, improving, modifying, validating, testing, or evaluating machine learning algorithms, or otherwise leverage the product for the purposes of machine learning for a period of five years from its date of creation. |
Supplemental Information: |
Attributes for this product are as follows: 0 Background, 1 Unclassified (Cloud, Shadow, etc), 2 Developed Impervious, 3 4 Developed Impervious under Tree Canopy 5 Developed Open Space, 6 Cultivated Land, 7 Pasture/Hay, 8 Grassland, 9 10 11 Upland Tree (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, Recommended Citation. NOAA Coastal Change Analysis Program (C-CAP) New Orleans Region High Resolution Land Cover Data. Data collected 2017. Charleston, SC: National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management. Data accessed at https://coast.noaa.gov/digitalcoast/data/ccaphighres.html. |
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 | C-CAP |
None | CCAP |
None | Land Cover |
None | Land Cover Analysis |
None | Remotely Sensed Imagery/Photos |
Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON
|
UNCONTROLLED | |
None | Coastal Zone |
None | Jefferson |
None | Kitsap |
None | Mason |
None | Pierce |
None | Puget Sound |
None | Thurston |
None | WA |
None | Washington |
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
|
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: |
Users must assume responsibility to determine the usability of these data. |
Support Roles
Data Steward
Date Effective From: | 2023-03-29 |
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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: | 2023-03-29 |
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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: | 2023-03-29 |
---|---|
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: | 2023-03-29 |
---|---|
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 aerial imagery |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -123.75305555556 | |
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E° Bound: | -121.26777777778 | |
N° Bound: | 48.25722222222 | |
S° Bound: | 46.51777777778 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Discrete |
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Start: | 2017 |
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.html |
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URL 2
URL: | https://chs.coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires/wa/ |
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URL Type: |
Online Resource
|
URL 3
URL: | https://coast.noaa.gov/dataviewer/#/landcover/search/where:ID=9808 |
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Name: | Data Access Viewer |
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: |
According to the accuracy assessment performed by NOAA Office for Coastal Management staff, the overall accuracy of this product is 89.2%. There were 609 total points distributed across the county. The accuracy of each class is as follows (Producer's, User's accuracies): Impervious (94.5%, 94.5%) Impervious under Tree Canopy (60.0%, 81.8%) Open Space Developed (82.7%, 87.8%) Cultivated (100%, 100%) Pasture/Hay (85.3%, 90.6%) Grassland (75.9%, 83.7%) Upland Tree (Forest) (100%, 76.9%) Shrub/Scrub (90.7%, 89.1%) Palustrine Forested Wetland (90.5%, 90.5%) Palustrine Shrub/Scrub Wetland (82.4%, 87.5%) Palustrine Emergent Wetland (78.3%, 78.3%) Estuarine Forested Wetland (N/A N/A) Estuarine Shrub/Scrub Wetland (N/A, N/A) Estuarine Emergent Wetland (100%, 90.0%) Unconsolidated Shore (94.7%, 97.3%) Bare Land (90.6%, 82.9%) Water (100%, 98.1%) Palustrine Aquatic Bed (72.2%, 100%) Estuarine Aquatic Bed (N/A, N/A) Ice/Snow (100%, 100%) Overall accuracy (89.2%) Points were sampled using a stratified random sampling scheme, with a minimum target sample of 20 points per class. A few of the rarer categories did not meet this minimum threshold or were not sampled at all due to the relatively low total area of those classes. There were no pixels sampled for the Estuarine Forested Wetland, Estuarine Scrub/Shrub Wetland, or Estuarine Aquatic Bed Wetland classes. In addition, it should be noted that the following categories had fewer than the target 20 point minimum: Impervious under Tree Canopy, Cultivated, Palustrine Scrub/Shrub Wetland, Estuarine Emergent Wetland, and Palustrine Aquatic Bed. The correct land cover classification was determined through analyst interpretation of the imagery used in creating the map, as well as possible references to GoogleEarth in order to reference additional dates/seasons of imagery for that location. All points were interpreted by two analysts, plus a third who made a final determination when there was disagreement on the call. This analysis allowed for the use of fuzzy designations, or alternate calls to the truth category where that truth call may not have been completely obvious, or where point locations are located so they could possibly be more than one category. 37 of the total 609 points were counted correct based on the use of that fuzzy call. |
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Completeness Report: |
Data does not exist for all classes. There are no pixels representing: class 1 (unclassified), class 9 (Deciduous Forest), 101 (Evergreen Forest), , 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)). |
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
Process Steps
Process Step 1
Description: |
This dataset was created by NOAA's Ocean Service, Office for Coastal Management (OCM). Classification: Initial 1m spatial resolution feature extraction for Impervious, Water, and Canopy (tree and scrub/shrub) mapping was conducted by Ecopia was developed by Ecopia using a proprietary feature recognition technology. This involves taking each image and classifying the pixels based on spectral and spatial properties, based on training examples and analyst refinement. This work was done under contract to NOAA, through NOAAâÃÂÃÂs Coastal Geospatial Services Contract (CGSC) vehicle. Impervious Surface Refinement: Commission and omission errors associated with the Impervious class were addressed through manual interpretation and clean up in ERDAS Imagine using OpenStreetMap road, building, and railroad layers as reference. Once the review and edits were complete, the refined Impervious class was incorporated back into the land cover data set. Water Refinement: Commission and omission errors associated with the Water class were addressed through manual interpretation and clean up in ERDAS Imagine. Once the review and edits were complete, the refined Water class was incorporated back into the land cover data set. Unconsolidated Shore: Unconsolidated Shore features were modeled and assessed using available Electronic Navigational Charts(ENC) data, spectral region growing, and manual interpretation. This category was typically added as part of the general water editing and refinement. Canopy Surface Refinement: Additional modeling was conducted to further refine the classification of shrub and tree height canopy features and thresholds. This modeling was based on deriving estimates of vegetation height using a surface elevation and vegetation surface information as derived through the creation and thresholding of a normalized digital surface model. Outputs from that analysis were combined with the initial canopy data. Any further commission and omission errors were addressed through manual interpretation and clean up in ERDAS Imagine. Once the review and edits were complete, the refinements were incorporated back into the land cover data set. Agriculture and Open Space Developed: Cultivated land, Pasture/Hay, and Open Space Developed features were incorporated into the grassland category of the initial land cover product through a the use of a second CNN classification, subsequent modeling (based on the presence of impervious cover and ancillary information such as the Washington state Agricultural database), and manual refinement. Wetlands: Wetlands were derived through a modeling process which used ancillary data such as Soils (SSURGO), the National Wetlands Inventory (NWI) and topographic derivatives. Forest, shrub and grassland objects within the initial land cover that exhibited hydric characteristics based on the input ancillary layers were designated to their appropriate wetland category. The process relied mainly on the NWI to determine palustrine and estuarine distinctions. Grass and Bare: Grass and Bare classifications were derived using an NDVI threshold and manual interpretation by Staff and Contractors. Snow and Ice: Snow and Ice was modeled using ERDAS ImagineâÃÂÃÂs ISODATA algorithm, spectral region growing, and manual interpretation. To aid in distinguishing Snow/Ice from other spectrally similar features, the processing extent for the ISODATA algorithm was confined to areas identified by Contractors as possibly having Ice/Snow present in imagery prior to classification. |
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Process Date/Time: | 2023-03-30 00:00:00 |
Process Step 2
Description: |
Attributes for this product are as follows: 0 Background 1 Unclassified 2 Developed Impervious 3 4 Developed Impervious under Tree Canopy 5 Developed, Open Space 6 Cultivated Crops 7 Pasture/Hay 8 Grassland/Herbaceous 9 10 11 Upland Tree (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: | 2023-03-30 00:00:00 |
Catalog Details
Catalog Item ID: | 69502 |
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GUID: | gov.noaa.nmfs.inport:69502 |
Metadata Record Created By: | Erik Hund |
Metadata Record Created: | 2023-03-29 15:17+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-07-03 17:07+0000 |
Metadata Record Published: | 2023-03-30 |
Owner Org: | OCM |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2021-12-08 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2022-12-08 |