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Short Citation:
Office for Coastal Management, 2022: C-CAP Land Cover, Delaware, 2013, https://www.fisheries.noaa.gov/inport/item/56017.

Item Identification

Title: C-CAP Land Cover, Delaware, 2013
Status: Completed
Publication Date: 2019-05-24
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. The timeframe for this metadata is late summer 2013. These maps are developed utilizing high resolution National Agriculture Imagery Program (NAIP) imagery, 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. NOAA C-CAP is a contributing member to the Multi-Resolution Land Characteristics consortium and C-CAP products are included as the coastal expression of land cover within the National Land Cover Database.

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. This effort is being conducted in close coordination with state coastal management agencies, the interagency Multi-Resolution Land Characteristics (MRLC) consortium, and the National Land Cover Database (NLCD).

Supplemental Information:

Attributes for this product are as follows:

0 Background,

1 Unclassified (Cloud, Shadow, etc),

2 Impervious,

3

4

5 Developed Open Space,

6 Cultivated Land,

7 Pasture/Hay,

8 Grassland,

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,

Recommended Citation. NOAA Coastal Change Analysis Program (C-CAP) Regional Land Cover Database. Data collected 1995-present. Charleston, SC: National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management. Data accessed at coast.noaa.gov/landcover.

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
UNCONTROLLED
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Passive Remote Sensing > Photon/Optical Detectors > Cameras > CAMERAS
Global Change Master Directory (GCMD) Platform Keywords Aircraft > AIRCRAFT
ISO 19115 Topic Category imageryBaseMapsEarthCover
None Land Cover
None Land Cover Analysis
None Remotely Sensed Imagery/Photos

Spatial Keywords

Thesaurus Keyword
UNCONTROLLED
Global Change Master Directory (GCMD) Location Keywords Ocean > North America > United States of America > Delaware
None Coastal Zone
None DE
None Delaware

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:

Users must assume responsibility to determine the usability of these data.

Support Roles

Data Steward

CC ID: 832992
Date Effective From: 2018-11-20
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: 832994
Date Effective From: 2018-11-20
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: 832995
Date Effective From: 2018-11-20
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: 832993
Date Effective From: 2018-11-20
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 NAIP imagery

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 833005
W° Bound: -75.845
E° Bound: -75.033
N° Bound: 39.845
S° Bound: 38.442

Extent Group 1 / Time Frame 1

CC ID: 833004
Time Frame Type: Discrete
Start: 2013

Spatial Information

Spatial Representation

Representations Used

Grid: No

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: 832996
URL: https://coast.noaa.gov/dataviewer/#/landcover/search/where:ID=8712
Name: Data Access Viewer
URL Type:
Online Resource

URL 2

CC ID: 832997
URL: https://coast.noaa.gov/htdata/raster1/landcover/HIRES_DE_2013_8712
URL Type:
Online Resource

URL 3

CC ID: 832998
URL: https://coast.noaa.gov/digitalcoast/data/ccaphighres
URL Type:
Online Resource

Technical Environment

Description:

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.2.2.1350

Data Quality

Accuracy:

According to the accuracy assessment performed by NOAA Office for Coastal Management staff, the overall accuracy of this product is 94.2%. There were 446 total points distributed across the state. The accuracy of each class is as follows (Producer's, User's accuracies):

Impervious (93.7%, 96.8%)

Open Space Developed (92.3%, 88.9%)

Cultivated (100%, 100%)

Pasture/Hay (91.7%, 91.7%)

Grassland (92.9%, 76.5%)

Deciduous Forest (91.1%, 96.5%)

Evergreen Forest (96.6%, 93.4%)

Shrub/Scrub (96.0%, 100%)

Palustrine Forested Wetland (97.1%, 89.2%)

Palustrine Shrub/Scrub Wetland (81.8%, 100%)

Palustrine Emergent Wetland (95.8%, 88.5%)

Estuarine Shrub/Scrub Wetland (N/A, N/A)

Estuarine Emergent Wetland (100%, 90.9%)

Unconsolidated Shore (88.9%, 100%)

Bare Land (100%, 100%)

Water (100%, 96.9%)

Palustrine Aquatic Bed (91.7%, 100%)

Estuarine Aquatic Bed (N/A, N/A)

Overall accuracy (94.2%)

Points were sampled using a stratified random sampling scheme, with a minimum target sample of 10 points per class. A few of the rarer categories did not meet this minimum threshold target. Estuarine Forested Wetland, Estuarine Shrub/Scrub Wetland, and Estuarine Aquatic Bed Wetland were not sampled at all due to the relatively low total area of those classes. Additionally, Unconsolidated Shore ended up with only 9 sample locations. Ideally, a larger number of samples would have been included. 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 not agreement on the call. All analysts were able to identify both a primary call as well as a fuzzy call when/if the point location caused any level of confusion as to what the land cover category was.

Completeness Report:

Data does not exist for all classes.

There are no pixels representing class 11 (Mixed 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

CC ID: 833002
Description:

This dataset was created by NOAA's Ocean Service, Office for Coastal Management (OCM).

Initial Classification: 1m spatial resolution land cover data developed by the University of Vermont Spatial Analysis Laboratory for the Chesapeake Bay Conservancy was the starting point for this dataset. This product was developed using a Geographic Object-Based Image Analysis (GEOBIA) processing framework applied to NAIP imagery and Lidar data. This involves taking each image to be classified and grouping the pixels based on spectral and spatial properties into regions of homogeneity called objects. The resulting objects are the primary units for analysis. The original dataset can be downloaded here: https://chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/land-cover-data-project/

Agriculture: Cultivated land and Pasture/Hay features were incorporated into the grassland category of the Chesapeake Bay land cover product through a modeling process which relied on agricultural information found in the 2007 statewide land use data set developed by the Sanborn Map Company for the state of Delaware. The original dataset can be downloaded here:

https://opendata.arcgis.com/datasets/7f0f0b3bf2654c46b9359f747398fb39_0.zip

Once Cultivated and Pasture/Hay classes were added. Manual review and edits were performed at scale of 1:3000.

Open Space Developed: Managed grasses and other low lying vegetation associated with development were derived using information found in the 2007 statewide land use data set mentioned in the Agriculture section. Grassland features in the land cover data that intersected selected land use polygons were designated as Open Space Developed (OSD). Once the initial OSD classification was performed, manual review for errors in addition to edits were performed at scale of 1:3000.

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. Manual review and edits were performed at scale of 1:3000.

Coastal waters and Unconsolidated Shore: Unconsolidated substrate and estuarine water features were extracted primarily through unsupervised classification and manual editing in ERDAS Imagine. This process relied on the MLLW imagery acquired by NOAA NGS during 2011 as a primary data source since it was collected at a lower tidal stage relative to other available imagery. Once these features were inserted into the land cover additional object based clean up algorithms were applied. Manual review and edits were performed at scale of 1:3000.

Evergreen and Deciduous Forest: The availability of a 2012 leaf-off imagery data set made it possible to subdivide the Upland Forest into Evergreen and Deciduous. Normalized difference vegetation indices (NDVI) were used in conjunction with the rest of the spectral data to separate these two forest categories in a raster-based environment. These rasters were then brought into eCognition to incorporate into segments prior to manual review at edits at the scale of 1:3000.

Process Date/Time: 2019-04-29 00:00:00

Catalog Details

Catalog Item ID: 56017
GUID: gov.noaa.nmfs.inport:56017
Metadata Record Created By: Erik Hund
Metadata Record Created: 2019-04-09 13:39+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2021-11-30 16:27+0000
Metadata Record Published: 2019-05-24
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Review Frequency: 1 Year