72699 Data Set Published / External 47841 C-CAP Project Completed 2024-06-12 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 2020. 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. C-CAP is dedicated to the development, distribution, and application of land cover and change data for the coastal regions of the U.S. 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. 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. 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. Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION Theme ISO 19115 Topic Category imageryBaseMapsEarthCover Instrument Global Change Master Directory (GCMD) Instrument Keywords CAMERAS Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Theme C-CAP Theme CCAP Theme Impervious Theme Land Cover Theme Land Cover Analysis Theme Remotely Sensed Imagery/Photos Temporal 2020 Spatial Brazoria County Spatial Calhoun County Spatial Chambers County Spatial Coastal Zone Spatial Fort Bend County Spatial Galveston County Spatial Harris County Spatial Houston Spatial Jefferson County Spatial Liberty County Spatial Matagorda County Spatial Montgomery County Spatial TX Spatial Waller County Office for Coastal Management Charleston SC Data Set 5 years Image (digital) This impervious 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. THE PRODUCT IS PROVIDED “AS IS,” WITHOUT ANY WARRANTY OF ANY KIND, INCLUDING, WITHOUT LIMITATION, WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE, NON-INFRINGEMENT OR NON-MISAPPROPRIATION OF INTELLECTUAL PROPERTY RIGHTS OF A THIRD PARTY, CUSTOM, TRADE, QUIET ENJOYMENT, ACCURACY OF INFORMATION, CONTENT OR RESULTS, OR CONDITIONS ARISING UNDER ANY OTHER LEGAL REQUIREMENT. NEITHER ECOPIA NOR ITS LICENSORS WARRANT THAT THE PRODUCT WILL BE ACCURATE, CURRENT OR COMPLETE, THAT THE PRODUCT WILL MEET END USER’S NEEDS OR EXPECTATIONS, OR THAT THE OPERATION OF THE PRODUCT WILL BE ERROR FREE OR UNINTERRUPTED. FURTHER, SPATIAL AND TEMPORAL ACCURACY IS NOT GUARANTEED Data Steward 2024-06-01 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2024-06-01 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Metadata Contact 2024-06-01 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Point of Contact 2024-06-01 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Acquisition date of the Aerial Imagery -97.236 -93.93 30.873 28.058 Discrete 2020 Yes 3 Point No Row 22303 Column 28861 Vertical 1 Custom Unclassified 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. 2024-06-01 Organization NOAA Office for Coastal Management tx_houston_2020_ccap_v2_hires_landcover.tif See URLs for Bulk Download link. GeoTIFF https://coast.noaa.gov/dataviewer/#/landcover/search/where:ID=10128 Data Access Viewer (DAV) Custom download for user-defined area and parameters. https://coast.noaa.gov/digitalcoast/data/ccaphighres.html Information Page C-CAP High Resolution Land Cover page on the Digital Coast website. 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 Bulk Download Full file download. 2016-05-23 Date that the source FGDC record was last modified. 2017-11-14 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. 2018-02-08 Partial upload of Positional Accuracy fields only. 2018-03-13 Partial upload to move data access links to Distribution Info. Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.1 SP 1 According to the accuracy assessment performed by NOAA Office for Coastal Management staff, the overall accuracy of this product is 88.1%. There were 674 total points distributed across the study area. The accuracy of each class is as follows (Producer's, User's accuracies): Impervious (96.2%, 98.1%) Impervious under Tree Canopy (87.5%, 93.3%) Open Space Developed (88.5%, 93.9%) Cultivated (92.3%, 100%) Pasture/Hay (86.5%, 75.0%) Grassland (78.4%, 70.2%) Upland Tree (Forest) (84.3%, 87.8%) Shrub/Scrub (84.8%, 87.8%) Palustrine Forested Wetland (92.3%, 92.3%) Palustrine Shrub/Scrub Wetland (80.0%, 97.0%) Palustrine Emergent Wetland (96.5%, 76.3%) Estuarine Forested Wetland (N/A, N/A) Estuarine Shrub/Scrub Wetland (87.5%, 87.5%) Estuarine Emergent Wetland (90.6%, 94.1%) Unconsolidated Shore (85.7%, 100%) Bare Land (80.6%, 89.3%) Water (100%, 96.2%) Palustrine Aquatic Bed (100%, 75.0%) Estuarine Aquatic Bed (N/A, N/A) Overall accuracy (88.1%) 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 or were not sampled at all due to the relatively low total area of those classes. The following categories had fewer than the target 20 point minimum: Estuarine Scrub/Shrub Wetland, Estuarine Emergent Wetland, Unconsolidated Shore, 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. 79 of the total 674 points were counted correct based on the use of that fuzzy call. 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)). 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. C-CAP Land Cover, Houston, TX Organization Ecopia AI Originator Discrete 2020 https://www.ecopiatech.com/ 1 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 AI (https://www.ecopiatech.com/) for NOAA's Ocean Service and was developed by Ecopia AI 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 NOAAs 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. Canopy Surface Refinement: Commission and omission errors associated with the Canopy class were addressed through manual interpretation and clean up in ERDAS Imagine. 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 done by Ecopia AI (https://www.ecopiatech.com/) for the Houston area, and subsequently refined by OCM through modeling of parcel data and manual edits. Commission and omission errors associated with these categories were addressed through manual interpretation and clean up in ERDAS Imagine. Once the review and edits were complete, the edits were incorporated back into the land cover data set. Wetlands: Wetlands were derived through a modeling process which used ancillary data such as Soils (SSURGO) and the National Wetlands Inventory (NWI). 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. 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 2024-06-12T00:00:00 gov.noaa.nmfs.inport:72699 Erik Hund 2024-05-29T18:24:38 David Betenbaugh 2026-05-21T12:44:37 2024-06-12 Office for Coastal Management OCM 1002 Public No No 2024-06-12 1 Year 2025-06-12