This type is often co-associated with grasses, sedges, herbs, and non-vascular vegetation. The goal of this project is to provide the Nation with complete, current, and consistent public domain information on its land use and land cover. The NLCD 2019 is scheduled to be completed by December 2020, with public release upon data review and production of relevant metadata. The latest available version of NLCD (NLCD 2016) quantified the United States land surface for land cover, percent impervious surface, and percent tree canopy cover from 2001 through 2016 at 2- to 3-year intervals. 2012-3020. Source. Source is available. C-CAP data forms the coastal expression of the National Land Cover Database (NLCD) and the A-16 land cover theme of the National Spatial Data Infrastructure. NLCD products are created by the Multi-Resolution Land Characteristics (MRLC) Consortium, a partnership of Federal agencies led by the U.S. Geological Survey. Mixed forest: areas dominated by trees generally greater than 5 meters tall, and greater than 20% of total vegetation cover. Neither deciduous nor evergreen species are greater than 75% of total tree cover. Heres how America uses its land. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. Non-road non-energy impervious. The National Land Cover Database (NLCD) serves as the definitive Landsat-based, 30-meter resolution, land cover database for the Nation. and have been removed from the landcover but remain as part of NLCD supports a wide variety of Federal, State, local, and nongovernmental applications that seek to assess ecosystem status and health, understand the spatial patterns of biodiversity, predict effects of climate change, and develop land management policy. Please note that some suspect increases in sagebrush cover are projected in the Southern Great Basin and Southern Colorado Plateau, which we interpret as model error. Photogrammetric Engineering and Remote Sensing 81(5), 345-354. https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=309950. Cheatgrass (Bromus tectorum) is a dominant species, but this dataset also includes Bromus arvensis L., Bromus briziformisFisch. Two file types are available: individual dates that supply a wall-to-wall map, and change files that compare one date to another. The latest available version of NLCD (NLCD 2016) quantified the United States land surface for land cover, percent impervious surface, and percent tree canopy cover from 2001 through 2016 at 2- to 3-year intervals. Completion of the 2011 National Land Cover Database for the conterminous United States - Representing a decade of land cover change information. Completion of the 2011 National Land Cover Database for the conterminous United States - Representing a decade of land cover change information. Systematically aligned over time . A .gov website belongs to an official government organization in the United States. Remote sensing allows the evaluation of both abrupt and gradual rangeland change at unprecedented spatial and temporal extents. NLCD products are created by the Multi-Resolution Land Characteristics NLCD 2019: USGS National Land Cover Database, 2019 release, Sign up for the Google for Developers newsletter, Acknowledging or Crediting USGS as Information Forest and cropland were two classes showing substantial improvements in accuracy in NLCD 2001 r, An assessment of the accuracy of National Land Cover Data 2001 as compared to National Wetlands Inventory mapping of Mobile and Baldwin Counties conducted by the U.S. Geological Survey's (USGS) National Wetlands Research Center (NWRC). The latest data were released in June 2021, and contain updated versions for years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and new data for 2019. The National Land Cover Database (NLCD) provides nationwide data on land cover and land cover change at a 30m resolution with a 16-class legend based on a modified Anderson Level II classification system. LCMAP impervious. Find databases subscribed to by UW-Madison Libraries, searchable by title and description. Evergreen forest: areas dominated by trees generally greater than 5 meters tall, and greater than 20% of total vegetation cover. NLCD 2019 updates all previously released versions of impervious products for CONUS and provides integrated analysis for all Land Cover dates. This index provides a simple and comprehensive way to visualize change from all 8dates of land cover in a single layer. Citation: The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over . Facebook; Twitter; LinkedIn; Email; . Moss: Alaska only areas dominated by mosses, generally greater than 80% of total vegetation. Share sensitive information only on official, secure websites. Download the Land Cover Classification Legend and Description. An official website of the United States government. NLCD 2011 is based primarily on a decision-tree classification of circa 2011 Landsat satellite data. NLCD provides spatial reference and descriptive data for characteristics of the land surface such as thematic class (for example, urban, agriculture, and forest), percent impervious surface, and percent tree canopy cover. An official website of the United States government. Land Cover Atlas Online viewer makes it easier to explore land cover change data. ) or https:// means youve safely connected to the .gov website. Official websites use .gov NLCD (the National Land Cover Database) is a 30-m Landsat-based land cover ), The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Through July 2020, Landsat ARD composites have been generated and all land cover, land cover change, and impervious procedures, models, and documentation have been completed. Additional information on Acknowledging or Crediting USGS as Information database spanning 8 epochs These data are potentially valuable to environmental managers and stakeholders because of the utility of %IC as an indicator of watershed and aquatic condition, but lack an accuracy assessment bec, Accuracy assessment is a standard protocol of National Land Cover Database (NLCD) mapping. Defines which impervious layer pixels are roads and provides the best fit description for impervious pixels that are not roads. Explore recent publications by USGS authors, Browse all of Pubs Warehouse by publication type and year, Descriptions of US Geological Survey Report Series, Earth Resources Observation and Science (EROS) Center. therefore reside in the public domain and may be used, transferred, or Cultivated crops: areas used for the production of annual crops, such as corn, soybeans, vegetables, tobacco, and cotton, and also perennial woody crops such as orchards and vineyards. The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. Find information on spaces, staff, and services. This descriptor layer identifies types of roads, wind tower sites, building locations, and energy production sites to allow a deeper analysis of developed features. NLCD is generated in cooperation with the Multi-Resolution Land Characteristics Consortium (MRLC) a partnership of Federal agencies working together to produce current, nationally consistent, land cover products for all 50 states and Puerto Rico. Wind turbines. IKONOS, OrbView, QuickBird, WorldView, SPOT) Example: Resourcesat-1 (ISRO) image courtesy of the U.S. Geological Survey. This dataset has one image for the continental US for each epoch. Click on title to download individual files attached to this item. NLCD 2019offers land cover for years 2001, 2003, 2006, 2008, 2011, 2013, 2016, 2019, as well as impervious surface and impervious descriptor layers for each epoch. Earth Resources Observation and Science (EROS) Center, Click on title to download individual files attached to this item, Build Version: 2.184.0-333-gd8c59cd-0 Grassland/herbaceous: areas dominated by gramanoid or herbaceous vegetation, generally greater than 80% of total vegetation. Interstates and other major roads. NLCD 2016 Product Highlights Here we report agreement statistics between map and reference labels for NLCD 2011, which includes land cover for ca. Additional Information Basics These areas most commonly include large-lot single-family housing units, parks, golf courses, and vegetation planted in developed settings for recreation, erosion control, or aesthetic purposes. The U.S. Geological Survey (USGS), in collaboration with the MRLC consortium and Bureau of Land Management (BLM), is pleased to announce the availability of a new generation of Rangeland, Condition, Monitoring, Assessment, and Projection (RCMAP) fractional component data spanning a 1985-2021 time-series. Deciduous forest: areas dominated by trees generally greater than 5 meters tall, and greater than 20% of total vegetation cover. Export to . Data are available on the MRLC website,either as prepackaged products or custom product areas can be interactively chosen using the MRLC viewer. Specifically, we have lowered the tree canopy cover threshold for exclusion from 40 to 25%. Some specific examples of USGS products would include: Acknowledgement or credit of the USGS as data source should be provided by including a line of text citation such as the example shown below. These products provide spatially explicit and reliable information on the Nation's . Download (PDF; 8.0 MB) Cite. https://doi.org/10.1016/j.isprsjprs.2020.02.019. 2001, ca. Lichens: Alaska only areas dominated by fruticose or foliose lichens generally greater than 80% of total vegetation. Well pads. This dataset has one image , USGS/NLCD_RELEASES/2019_REL/NLCD, Landsat 7 imaging resumed on May 5, 2022, at a lower orbit of 697 kilometers (km) after a series of maneuvers in early April lowered the satellite out Sioux Falls, S.D. (MRLC) Consortium, a partnership of federal agencies led by the Accuracy assessment of NLCD 2006 focused on four primary products: 2001 land cover, 2006 land cover, land-cover change between 2001 and 2006, and impervious surface change between 2001 and 2006. The change index was designed to assist NLCD users to understand complex land cover change with a single product. Secure .gov websites use HTTPS Commercial satellite imagery (e.g. Share sensitive information only on official, secure websites. Any two-lane road. (Read More), The RCMAP product suite includes nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree and the temporal trends of each component. Crop Water Productivity of the Worlds Leading Crops, Global Cropland Extent Product at 30 meters (GCEP30), Global Hyperspectral Imaging Spectral-library of Agricultural-Crops, Measuring Environmental Impacts of Winter Cover Crops, Structure from Motion Modeling Using Unmanned Aircraft Systems to Support Paleontological Surveys, Developing Bare-Earth Digital Elevation Models from Structure from Motion Data on Barrier Islands, Mapping Habitats in Beach, Dune, and Intertidal Environments, Mapping High Marsh along the Northern Gulf of Mexico Coast, Multibeam Bathymetry and Terrestrial Lidar for Embankment Assessments, Retrieval of Intertidal Biofilm Quantity and Nutritional Quality through Field Spectroscopy, Quantifying Droughts Influence on Moist Soil Seed Vegetation, Quantifying Livestock Forage to Inform Drought Strategies, Big Oaks National Wildlife Refuge 4-Band Aerial Imagery Collection, Identifying Forest Canopy Gaps Using Satellite and Aerial Imagery, Identifying Tipping Points in Sagebrush Ecosystems, Katahdin Woods and Waters National Monument 4-Band Aerial Collection, Water Use and Land Cover in the Delaware River Basin, Innovative Technologies to Monitor a New Crater Lake at Klauea Volcano, Monitoring Volcanic Degassing at Mount St. Helens, Surface Deformation Resulting from the Ridgecrest Earthquakes, Advancing a Three-Dimensional Burn Severity Mapping Capacity, LANDFIRE 2016 Remap and Year Capable Fuels, Monitoring Trends in Burn Severity Program Celebrates 15 Years of Operational Wildfire Mapping, Pre-fire and Post-fire Lidar Burn Severity Analysis, Supporting Burned Area Emergency Response Teams, USGS Fire Danger Forecast Program Updates and Expanded Capabilities, A Spatiotemporal Invasive Annual Cover Dataset, Controlling Invasive Grasses, Understanding Fire Risks and Behavior, and Aiding Conservation, Development of an Underwater Acoustic Deterrent System for Asian Carp, Quantitative Mapping of Phragmites australis Live Fractional Cover, Applying Images from Multiple Satellites to Compile a More Comprehensive Record of Past Floods, Geomorphic Change Detection Using Drone-based Lidar on Fountain Creek, Colorado, Historical Land Cover Reconstruction and Future Projections, Phenology Metrics Indicate Direction of Vegetation Recovery in Post-fire Ponderosa Pine Forests, Quantifying Change in Woodland Canopy Cover, Two Decades of Changes in Vegetation Greenness and Water Use in the Colorado River Delta, Mineral Mapping of Lithium-rich Playas for Lithium Mineral Assessment, Alaska Statewide Interferometric Synthetic Aperture Radar (InSAR) Elevation Data and Satellite Imagery Status, Landsat Collection 2: Advancing Interoperability of the Global Landsat Archive, Rangeland Fractional Components Across the Western United States, Release of On-demand Landsat Collection 1 Provisional Actual Evapotranspiration and Aquatic Reflectance, Solar/sensor Geometry Controls on Satellite NDVI, Subsurface Geophysical Mapping Using Airborne Electromagnetics, EROS Cal/Val Center of Excellence (ECCOE), Using Imagery to Crowdsource The National Map, Geomorphons of the Klamath River Prior to Dam Removal, Vegetation Response to Watershed Restoration, 21st Century Surface Water Trends for the United States, 3D Topobathymetric Digital Elevation Model for Lake Powell Storage Capacity Assessment, A Multidisciplinary Effort to Map the Bathymetry of the Potomac River, Time Series Remote Sensing of Surface Water and Wetland Dynamics, Using Machine Learning Approaches to Water Presence in Streams, Water Use Mapping at the Landsat Scale for the Nation, High-Resolution Temporal and Spatial Mapping of Mercury and Methylmercury in Surface Waters, Multiscale Hyperspectral Imaging of Harmful Algal Blooms (HABs), Satellite Monitoring of Algal Blooms in Idaho Waterbodies, 60 Years of Deer Yarding in a Wolf-Deer System, Automated Detection of Wildlife Targets in Aerial Imagery, Automated Telemetry to Understand Habitat Use and Movement Ecology, Distribution of Migratory Landbirds around the Gulf of Mexico, Feral Hog Survey Using High-Resolution Thermal Infrared Imagery, Modeling Marine Bird Habitat in the Northern Gulf of Mexico, Waterfowl Migration Monitoring Using Cloud-Based Technologies. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. Citation . the impervious surface product. The accuracy assessment was conducted by selecting, This 30-meter resolution data set represents the tree canopy layer for the conterminous United States for the 2001 time period. Note: These citations are software generated and may contain errors. The release of NLCD 2016 provides important new information on land change patterns across CONUS from 2001, The National Land Cover Database (NLCD) contains three eras (2001, 2006, 2011) of percentage urban impervious cover (%IC) at the native pixel size (30 m-x-30 m) of the Landsat Thematic Mapper satellite. NLCD (the National Land Cover Database) is a 30-m Landsat-based land cover database spanning 8 epochs (2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019). Developed high intensity: highly developed areas where people reside or work in high numbers. National Land Cover Database Class Legend and Description The classification system used by NLCD is modified from the Anderson Land Cover Classification System *. The USGS NLCD team in collaboration with the BLM has produced the most comprehensive remote sensing-based quantification of Western U.S. shrublands to date. These products have been produced by USGS in collaboration with the Bureau of Land Management. To verify accuracy, check the appropriate style guide. Citation. Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, broughtto you by the USGS Earth Resources Observation and Science (EROS) Center. Pixels derived from the 2019 Oil and Natural Gas Wells Charleston, SC: NOAA Office for Coastal Management. versions of NLCD. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land []. This class also includes all land being actively tilled. Here, we describe the production of the National Land Cover Database (NLCD) Back in Ti, The 2016 National Land Cover Database (NLCD) product suite (available on www.mrlc.gov), includes Landsat-based, 30 m resolution products over the conterminous (CONUS) United States (U.S.) for land cover, urban imperviousness, and tree, shrub, herbaceous and bare ground fractional percentages. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nations land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. 2.0, June 2021), National Land Cover Database (NLCD) 2019 Land Cover Products. If the imagery lacks additional information, please refer to the Product Page for more information and/or visit the website of the company or agency of origin. Shrub/scrub: areas dominated by shrubs less than 5 meters tall with shrub canopy typically greater than 20% of total vegetation. See the USGS Visual Identity System Guidance for further details on proper citation and acknowledgement of USGS products. Citation. Federal government websites often end in .gov or .mil. Click (here) for NLCD Science Research Products which offer more comprehensive delineation of shrub and grass classes and information about change disturbance. & C.A. This type can occur with significant other grasses or other grass like plants, and includes sedge tundra and sedge tussock tundra. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. The USGS EROS Center supports delivery and access systems for a variety of NASAs LP DAAC science datasets. Information characterizing the spatial variation and the associated amount, aggregation, and diversity of developed and agricultural land cover types was extracted from the National Land Cover Datasets of 2011. 24, athttps://doi.org/10.3390/rs11242971. Download the per pixel estimates of percent imperviousness legend. To submit, please register and login first. Website Pointer to National Land Cover Database 2011 (NLCD 2011), https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=309950, https://www.bloomberg.com/graphics/2018-us-land-use/, https://data.nal.usda.gov/dataset/national-land-cover-database-2011-nlcd-2011, National Agricultural Library Thesaurus Term, National Land Cover Database 2011 (NLCD 2011). Component products are designed to be used individually or combined to support a broad variety of applications. Earth Engine is free to use for research, education, and nonprofit use. Developed classes in these years are directly derived from percent developed impervious surface and include a descriptor label that identifies the type of each impervious surface pixel. Buildings not captured in the NLCD Website Owner: NOAA Office for Coastal Management | Last Modified: https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/30m_lc/, C-CAP Classification Scheme and Class Definitions, Excel worksheets for basic analysis of change data, Blog: Exploring the C-CAP Land Cover Atlas using Machine Learning and Python Part 1: Retrieving Data from an API, Blog: Exploring the C-CAP Land Cover Atlas using Machine Learning and Python Part 2: Cleaning the Data, How to Use Land Cover Data as a Water Quality Indicator, Growth Rings: Patterns of Urban Development, 2010 NOAA Puerto Rico C-CAP 30m Land Cover, 2005 NOAA C-CAP Regional Land Cover: Hawaii, 2001 NOAA C-CAP Regional Land Cover: Hawaii, 1992 NOAA C-CAP Regional Land Cover: Hawaii, C-CAP High-Resolution Land Cover and Change, Sea Level Rise Wetland Impacts and Migration, Analyzing Future Urban Growth and Flood Risk in North Carolina, Analyzing Sedimentation Processes to Guide Conservation in Oregon, Assessing Fire Hazard Risk in Southern California, Assessing the Gulf of Mexico through the Ecosystem Status Report, Assessing the Impact of Impervious Surfaces on Water Resources in Southern California, Assessing the Impacts of Hurricane Katrina in Louisiana, Assessing the Value of Natures Benefits in the St. Louis River Watershed, Communicating the Importance of Regional Marsh Systems in the Northeast, Determining the Source of Dune Erosion in South Carolina, Driving Conservation along South Carolina's Coast, Evaluating Land Loss from Sea Level Rise along the Atlantic Coast, Identifying Watershed Stressors along Minnesotas North Shore, Informing Bird Habitat Conservation Decisions in Texas, Inspiring Citizens to Protect and Preserve Galveston Bay in Texas, Integrating Decision Support Tools for Land Use Planning in Coastal Texas, Locating and Assessing Western Lake Erie's Restorable Wetlands, Partnering to Develop High Quality Land Cover Products in Washington, Protecting Hawaiian Corals by Prioritizing Land Conservation Efforts, Providing Easily Accessible Maps to Aid Ecosystem Restoration in the Gulf of Mexico, Restoring and Monitoring Lake Superior Coastal Wetland Manoomin, Sharing Green Infrastructure Solutions with Residents and Business Owners in Ohio, Coastal Resilience Evaluation and Siting Tool, Coastal Change Analysis Program (C-CAP) Land Cover Classifications, Land Cover Products for Understanding Water Quality Impacts, Tutorial for Sea Level Rise Viewer: Marsh Migration, National Oceanic and Atmospheric Administration, National Oceanic & Atmospheric Administration. 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