2021 C-CAP High Resolution Land Cover for the Northeast Region of Ohio
Data Set (DS) | Office for Coastal Management (OCM)GUID: gov.noaa.nmfs.inport:79641 | Updated: May 8, 2026 | Published / External
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Summary
Short Citation
Office for Coastal Management, 2026: 2021 C-CAP High Resolution Land Cover for the Northeast Region of Ohio, https://www.fisheries.noaa.gov/inport/item/79641.
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. High resolution C-CAP products 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 is a full-scheme C-CAP land cover product, which includes up to 20 land cover classes, including impervious surfaces, agricultural areas, tree/shrub canopy, water, and wetlands. These high-resolution C-CAP land cover products enable local mapping and analyses for several applications, including water quality and stormwater management, land use planning and community development, risk assessment, natural resource management, and other community-level activities. This dataset represents land cover for the timeframe of 2021 for the Northeast Region of Ohio.
C-CAP is dedicated to the development, distribution, and application of land cover and change data for the coastal regions of the U.S.
Data Access & Downloads
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File name: oh_northeast_2021_ccap_v2_hires_landcover.tifGeoTIFF
See URLs for Bulk Download link.
None
Users are granted a perpetual, non-exclusive, irrevocable, worldwide license to use these data, and to create derived and value-added products, in any manor and for any purpose with the exception of creating, training, improving, modifying, validating, testing, evaluating, or otherwise leveraging machine learning algorithms in order to explicitly create similar land cover data for a period of five years from its date of creation.
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 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
URLs
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Full file download.
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C-CAP High Resolution Land Cover page on the Digital Coast website.
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Custom download for user-defined area and parameters.
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
-83.111° W,
-80.207° E,
42.574° N,
40.323° S
2021
Item Identification
| Title: | 2021 C-CAP High Resolution Land Cover for the Northeast Region of Ohio |
|---|---|
| Status: | Completed |
| Creation Date: | 2026-04-28 |
| Publication Date: | 2026-04-28 |
| 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. High resolution C-CAP products 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 is a full-scheme C-CAP land cover product, which includes up to 20 land cover classes, including impervious surfaces, agricultural areas, tree/shrub canopy, water, and wetlands. These high-resolution C-CAP land cover products enable local mapping and analyses for several applications, including water quality and stormwater management, land use planning and community development, risk assessment, natural resource management, and other community-level activities. This dataset represents land cover for the timeframe of 2021 for the Northeast Region of Ohio. |
| 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: Users are granted a perpetual, non-exclusive, irrevocable, worldwide license to use these data, and to create derived and value-added products, in any manor and for any purpose with the exception of creating, training, improving, modifying, validating, testing, evaluating, or otherwise leveraging machine learning algorithms in order to explicitly create similar land cover data 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, Recommended Citation. NOAA Coastal Change Analysis Program (C-CAP) Houston Region High Resolution Land Cover Data. Data collected 2020. 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 |
|---|---|
| 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 |
Temporal Keywords
| Thesaurus | Keyword |
|---|---|
| UNCONTROLLED | |
| None | 2021 |
Spatial Keywords
| Thesaurus | Keyword |
|---|---|
| UNCONTROLLED | |
| Geographic Names Information System | Ashland County |
| Geographic Names Information System | Ashtabula County |
| Geographic Names Information System | Cuyahoga County |
| Geographic Names Information System | Erie County |
| Geographic Names Information System | Geauga County |
| Geographic Names Information System | Huron County |
| Geographic Names Information System | Lake County |
| Geographic Names Information System | Lorain County |
| Geographic Names Information System | Mahoning County |
| Geographic Names Information System | Medina County |
| Geographic Names Information System | OH |
| Geographic Names Information System | Ohio |
| Geographic Names Information System | Portage County |
| Geographic Names Information System | Richland County |
| Geographic Names Information System | Stark County |
| Geographic Names Information System | Summit County |
| Geographic Names Information System | Trumbull County |
| Geographic Names Information System | Wayne County |
| None | Coastal Zone |
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 |
|---|---|
| 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 are granted a perpetual, non-exclusive, irrevocable, worldwide license to use these data, and to create derived and value-added products, in any manor and for any purpose with the exception of creating, training, improving, modifying, validating, testing, evaluating, or otherwise leveraging machine learning algorithms in order to explicitly create similar land cover data for a period of five years from its date of creation. 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 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. |
Support Roles
Data Steward
| Date Effective From: | 2024-06-01 |
|---|---|
| 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: | 2024-06-01 |
|---|---|
| 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: | 2024-06-01 |
|---|---|
| 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: | 2024-06-01 |
|---|---|
| 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 |
|---|
Extent Group 1
Extent Group 1 / Geographic Area 1
| W° Bound: | -83.111 | |
|---|---|---|
| E° Bound: | -80.207 | |
| N° Bound: | 42.574 | |
| S° Bound: | 40.323 |
Extent Group 1 / Time Frame 1
| Time Frame Type: | Discrete |
|---|---|
| Start: | 2021 |
Spatial Information
Spatial Representation
Representations Used
| Grid: | Yes |
|---|
Grid Representation 1
| Dimension Count: | 3 | ||||
|---|---|---|---|---|---|
| Cell Geometry: | Area | ||||
| 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 |
|---|---|
| Data Access Constraints: |
None |
| Data Use Constraints: |
Users are granted a perpetual, non-exclusive, irrevocable, worldwide license to use these data, and to create derived and value-added products, in any manor and for any purpose with the exception of creating, training, improving, modifying, validating, testing, evaluating, or otherwise leveraging machine learning algorithms in order to explicitly create similar land cover data for a period of five years from its date of creation. 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 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. |
Distribution Information
Distribution 1
| Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2024-06-01 - Present) |
|---|---|
| File Name: | File name: oh_northeast_2021_ccap_v2_hires_landcover.tif |
| Description: |
See URLs for Bulk Download link. |
| Distribution Format: | GeoTIFF |
URLs
URL 1
| URL: | https://ocmgeodatastor1.blob.core.windows.net/ccap/bulk_download/C-CAP_High-Resolution_Data/Refined_C-CAP_High-Resolution_Land_Cover_Classification/CONUS/index.html |
|---|---|
| Name: | Bulk Download |
| URL Type: |
Online Resource
|
| Description: |
Full file download. |
URL 2
| URL: | https://coast.noaa.gov/digitalcoast/data/ccaphighres.html |
|---|---|
| Name: | Information Page |
| Description: |
C-CAP High Resolution Land Cover page on the Digital Coast website. |
URL 3
| URL: | https://coast.noaa.gov/dataviewer/#/landcover/search/where:ID=10128 |
|---|---|
| Name: | Data Access Viewer (DAV) |
| Description: |
Custom download for user-defined area and parameters. |
Activity Log
Activity Log 1
| Activity Date/Time: | 2016-05-23 |
|---|---|
| Description: |
Date that the source FGDC record was last modified. |
Activity Log 2
| Activity Date/Time: | 2017-11-14 |
|---|---|
| Description: |
Converted from FGDC (Federal Geographic Data Committee) CSDGM (Content Standard for Digital Geospatial Metadata) (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. |
Activity Log 3
| Activity Date/Time: | 2018-02-08 |
|---|---|
| Description: |
Partial upload of Positional Accuracy fields only. |
Activity Log 4
| Activity Date/Time: | 2018-03-13 |
|---|---|
| Description: |
Partial upload to move data access links to Distribution Info. |
Data Quality
| Accuracy: |
According to the accuracy assessment performed by NOAA Office for Coastal Management staff, the overall accuracy of this product is 92.3%. There were 585 total points distributed across the study area. The accuracy of each class is as follows (Producer's, User's accuracies): Impervious (100%, 98.3%)
Impervious under Tree Canopy (100%, 86.7%)
Open Space Developed (93.3%, 93.3%)
Cultivated (93.8%, 100%)
Pasture/Hay (94.8%, 91.7%)
Grassland (92.0%, 76.7%)
Upland Tree (Forest) (96.4%, 85.0%)
Shrub/Scrub (90.0%, 84.4%)
Palustrine Forested Wetland (83.8%, 95.0%)
Palustrine Shrub/Scrub Wetland (89.5%, 89.5%)
Palustrine Emergent Wetland (75.0%, 100%)
Unconsolidated Shore (100%, 100%)
Bare Land (100%, 100%)
Water (100%, 100%)
Palustrine Aquatic Bed (100%, 100%)
Overall accuracy (92.3%)
Points were sampled using a stratified random sampling scheme, with a minimum target sample of 25 points per class. A few of the rarer categories did not meet this minimum threshold due to the relatively low total area of those classes. The following categories had fewer than the target 25 point minimum: Impervious Under Canopy (class 4), Palustrine Scrub/Shrub (class 14), Palustrine Emergent Wetland (class 15), Bare Land (class 20), and Palustrine Aquatic Bed (class 22). 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. |
|---|---|
| Completeness Report: |
Data does not exist for all standard C-CAP categories. There are no pixels representing: Unclassified (class 1), Estuarine Forested Wetlands (class 16), Estuarine Scrub/Shrub Wetlands (class 17), Estuarine Emergent Wetlands (class 18), or Perennial Ice/Snow (class 25). |
| 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
Sources
External Contractor
| Contact Role Type: | Originator |
|---|---|
| Contact Type: | Organization |
| Contact Name: | NV5 |
| Citation URL: | https://www.nv5.com/ |
External Contractor
| Contact Role Type: | Originator |
|---|---|
| Contact Type: | Organization |
| Contact Name: | Ecopia AI |
| Extent Type: | Discrete |
| Extent Start Date/Time: | 2021 |
| Citation URL: | https://www.ecopiatech.com/ |
Process Steps
Process Step 1
| Description: |
This dataset was created as part of NOAA's Coastal Change Analysis Program (C-CAP), which is housed within the National Ocean Service, Office for Coastal Management (OCM). Contractor work was performed through NOAAâs Coastal Geospatial Services Contract (CGSC) vehicle. Initial Classification Initial 1m spatial resolution feature extraction for Impervious, Water, and Canopy (tree and scrub/shrub) mapping was conducted by Ecopia AI (https://www.ecopiatech.com/) 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. Refined Classification The refinement of initial mapping layers, including the additional of up to 20 standard C-CAP categories of land cover feature types was conducted by NV5 (https://www.nv5.com/). Refinement specifics were broken down into a series of stages, and the specifics of each are discussed below. Impervious Surface Refinement: Commission and omission errors associated with the Impervious class were addressed through manual interpretation and clean up 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 a combination of modeling, expert rulesets, and manual interpretation. Once the review and edits were complete, the refined Water class was incorporated back into the land cover data set. Canopy Surface Refinement: Commission and omission errors associated with the Canopy class were addressed through manual interpretation and clean up. Once the review and edits were complete, the refined Canopy class was incorporated back into the land cover data set. Agriculture and Open Space Developed: Cultivated land, Pasture/Hay, and Open Space Developed features were derived from the grassland class of the initial land cover product using a combination of deep learning and image segmentation approaches. Predictions from a Convolutional Neural Network were summarized by image objects generated for grassland regions withing the AOI. Commission and omission errors associated with these categories were addressed through manual review and editing. Once the review and edits were complete, the new classes were incorporated into the land cover data set. Wetlands: Wetlands were derived through a modeling process which used ancillary data such as Soils (SSURGO), the National Wetlands Inventory (NWI), and topographic derivatives (derived from USGS OPR data). 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 extracted from regions within the AOI not covered by the Ecopia AI Impervious, Water, and Canopy layer. This was accomplished through a combination of image segmentation, expert rulesets, and manual editing. Once the review and edits were complete, Bare and Grass features were incorporated into the land cover data set. 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 |
|---|---|
| Process Date/Time: | 2026-04-28 00:00:00 |
Catalog Details
| Catalog Item ID: | 79641 |
|---|---|
| GUID: | gov.noaa.nmfs.inport:79641 |
| Metadata Record Created By: | David Betenbaugh |
| Metadata Record Created: | 2026-04-28 17:41+0000 |
| Metadata Record Last Modified By: | David Betenbaugh |
| Metadata Record Last Modified: | 2026-05-08 16:23+0000 |
| Metadata Record Published: | 2026-05-08 |
| Owner Org: | OCM |
| Metadata Publication Status: | Published Externally |
| Do Not Publish?: | N |
| Metadata Last Review Date: | 2024-06-12 |
| Metadata Review Frequency: | 1 Year |
| Metadata Next Review Date: | 2025-06-12 |
