Slide Menu
System Maintenance Notice, Sunday, May 22, 2022 @ 8am-2pm Eastern. The Operations Team will be performing system maintenance on all server environments. During this scheduled downtime, InPort will not be available.
View All
Search Help Show/Hide Menu
Short Citation:
Office for Coastal Management, 2022: 2015-2017 C-CAP Derived 10 meter Land Cover - BETA, https://www.fisheries.noaa.gov/inport/item/57099.

Item Identification

Title: 2015-2017 C-CAP Derived 10 meter Land Cover - BETA
Status: On Going
Publication Date: 2019-08-15
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 data is 2015, 2016, or 2017 (depending on the exact date of imagery used). These maps are developed through the automated classification of high resolution National Agriculture Imagery Program (NAIP) imagery, available Lidar digital elevation data, and assorted ancillary information.

While produced as part of the Coastal Change Analysis Program (C-CAP), these products should not be compared directly to past dates of 30-meter C-CAP to identify change, as there will be vast differences caused by the different methods and the classes mapped.

These data should be considered to be BETA-level or draft products. They are based on 1-meter land cover mapping that were entirely automated and the relationship of those data to existing wetlands data. As such, there may be issues that result from the different vintages of these products, as well as the errors included in each. While not perfect, the data should provide an example of what level of detail would be possible through such higher-resolution mapping.

These data are not jurisdictional or intended for use in litigation. NOAA does not assume liability for any damages or misrepresentations caused by inaccuracies in the data, or as a result of the data used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

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:

The following list highlights the 15 possible categories included within this data. Not all classes will exist in every geography. Several typical C-CAP classes are not included (such as Open Space Developed, Cultivated Crops, Pasture/Hay, Deciduous Trees, Evergreen Trees, or Mixed Trees, and Snow/Ice). These features will be represented by the included category that most accurately reflects their condition at the time of mapping.

0 Background

1 Unclassified (Cloud, Shadow, etc)

2 Impervious Developed

5 Open Space Developed

8 Grassland

11 Upland Trees

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 Water

22 Palustrine Aquatic Bed

23 Estuarine Aquatic Bed

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 > Massachusetts
None Coastal Zone

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: 866144
Date Effective From: 2019-08-15
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: 866146
Date Effective From: 2019-08-15
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: 866147
Date Effective From: 2019-08-15
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: 866145
Date Effective From: 2019-08-15
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: 866157
W° Bound: -125.479
E° Bound: -66.933
N° Bound: 49.689
S° Bound: 29.153

Extent Group 1 / Time Frame 1

CC ID: 866156
Time Frame Type: Range
Start: 2015
End: 2017

Spatial Information

Spatial Representation

Representations Used

Grid: No

Access Information

Security Class: Unclassified
Data Access Constraints:

None

Data Use Constraints:

These data should be considered to be BETA-level or draft products. They are based on 1-meter land cover mapping that were entirely automated and the relationship of those data to existing wetlands data. As such, there may be issues that result from the different vintages of these products, as well as the errors included in each. While not perfect, the data should provide an example of what level of detail would be possible through such higher-resolution mapping.

These data are not jurisdictional or intended for use in litigation. NOAA does not assume liability for any damages or misrepresentations caused by inaccuracies in the data, or as a result of the data 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: 866148
URL: https://coast.noaa.gov/dataviewer/#/landcover/search/where:ID=8798
Name: Data Access Viewer
URL Type:
Online Resource

URL 2

CC ID: 866149
URL: https://chs.coast.noaa.gov/htdata/raster1/landcover/bulkdownload/Beta/
URL Type:
Online Resource

URL 3

CC ID: 866150
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

Completeness Report:

The following list highlights the 15 possible categories included within this data. Not all classes will exist in every geography. Several typical C-CAP classes are not included (such as Open Space Developed, Cultivated Crops, Pasture/Hay, Deciduous Trees, Evergreen Trees, or Mixed Trees, and Snow/Ice). These features will be represented by the included category that most accurately reflects their condition at the time of mapping.

0 Background

1 Unclassified (Cloud, Shadow, etc)

2 Impervious Developed

5 Open Space Developed

8 Grassland

11 Upland Trees

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 Water

22 Palustrine Aquatic Bed

23 Estuarine Aquatic Bed

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: 866154
Description:

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

Process_Description:

This dataset was created by the NOAA National Ocean Service (NOS), Office for Coastal Management (OCM). It was based on a 6 category land cover that was produced using a random forest classifier and Geographic Object-Based Image Analysis (GEOBIA) processing framework. That classification was performed by EarthDefine LLC (under contract to NOAA OCM), as part of NOAA’s Coastal Change Analysis Program (C-CAP) efforts. This classification is based on high resolution National Agriculture Imagery Program (NAIP) imagery, available Lidar digital elevation data, and assorted ancillary information. The resulting land cover was then combined with U.S. Fish and Wildlife Servie’s (USFWS) National Wetland Inventory (NWI) data, using a logic based rule set. The final classification includes up to 15 categories.

Random Forest Classification:

The initial 1m spatial resolution 6 class high resolution land cover product was developed using a Geographic Object-Based Image Analysis (GEOBIA) processing framework. 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. Additionally, these objects introduce additional spectral, shape, textural and contextual information into the mapping process and are utilized as independent variables in a supervised classification. Each object is labeled using a Random Forest Classifier which is ensemble version of a Decision Tree. Training data for the initial 6 classes (Herbaceous, Bare, Impervious, Water, Forest and Shrub) were generated through photo interpretation. The resulting Random Forest model was applied to the input data sets to create the initial automated map.

Resampling:

The resulting 1-meter land cover was then resampled to a 10-meter raster. This was done using a 10x10 focal pixel window to compute the percent value for each land cover type in the 100 pixel neighborhood around each target pixel, and subsequently performing a nearest neighbor resampling of the resulting values. Land cover was then assembled based on the land cover category that represented the largest overall percentage of the output 10-meter cell (i.e. the majority cover type), except where values of impervious exceeded 20% in which case Impervious Developed would be forced into the classification (even if not the majority for that cell).

Wetlands:

Wetlands were derived through a modeling process which used the National Wetlands Inventory (NWI), exported to a 10-meter raster grid to a classification that matched the wetland categories typically included within C-CAP land cover products. A logic based rule set was then applied. This rule set accounted for changes in condition of wetland features, since the NWI mapping occurred. This was based on how those features were mapped in the 6 category land cover described above, as compared to the NWI class. 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.

Process Date/Time: 2018-11-01 00:00:00

Catalog Details

Catalog Item ID: 57099
GUID: gov.noaa.nmfs.inport:57099
Metadata Record Created By: Erik Hund
Metadata Record Created: 2019-08-01 10:17+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2021-11-30 16:27+0000
Metadata Record Published: 2019-08-06
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Review Frequency: 1 Year