surface class. Citation. United States. This dataset has one image for the continental US for each epoch. Citation . Lichens: Alaska only areas dominated by fruticose or foliose lichens generally greater than 80% of total vegetation. Examples include apartment complexes, row houses, and commercial/industrial. This dataset has one image , USGS/NLCD_RELEASES/2019_REL/NLCD, 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. Bromus catharticusVahl, Bromus commutatusSchrad, Bromus diandrusRoth, Bromus hordeaceus L., Bromus hordeaceus spp. No new imperviousness products for Alaska, Hawaii and Puerto Rico are available from NLCD 2019. The USFS derives tree canopy cover from multi-spectral Landsat imagery and other available ground and ancillary information. Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) 2.0, June 2021), National Land Cover Database (NLCD) 2019 Land Cover Products. Secondary road. For pixels with 1-25% tree canopy cover we ensured that our primary components (shrub, herbaceous, litter, and bare ground) cover summed to 100% when added with the tree canopy. NLCD 1992 is a 21-class land cover classification scheme that . Secure .gov websites use HTTPS Impervious surfaces account for 80% to 100% of the total cover. Pixels were derived from the 2018 dataset from the Oak Ridge National Laboratory. The UK Centre for Ecology and Hydrology (UKCEH) have provided reliable land cover information since the early 1990's; this supports multiple scientific, government and commercial objectives. A lock ( Source is available. database spanning 8 epochs Conterminous United States land cover change patterns 2001-2016 from the 2016 National Land Cover Database. Below are multimedia items associated with this project. Specific examples of non-USGS imagery or data products include: Users may still acknowledge or cite any non-USGS dataset according to the format listed under USGS Products with some modification. 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 . Pasture/hay: areas of grasses, legumes, or grass-legume mixtures planted for livestock grazing or the production of seed or hay crops, typically on a perennial cycle. 2011. An official website of the United States government. Data characterize the percentage of each 30-meter pixel in the Western United States covered by each component for each year from 1985-2021 - providing change information for 35 years (imagery for 2012 was unavailable). National Land Cover Database (NLCD) 2016 NLCD 2016 is an ongoing land cover modeling production effort with NLCD scientists providing expertise in research and development, modeling, scripting, scene selection, cloud-masking, land cover mapping, and imperviousness mapping production. (Read More), RCMAP base component products characterize the percentage of each 30-meter pixel in the Western United States covered by shrub, herbaceous, bare ground, litter, sagebrush, big sagebrush and annual herbaceous, along with estimating shrub height and sagebrush height. NLCD 2011 is based primarily on a decision-tree classification of circa 2011 Landsat satellite data. NLCD 2019 also includes a wind energy layer across all impervious products. 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. The original National Land Cover Database (NLCD) was created in 1992 by the Multi-Resolution Land Characteristics (MRLC) Consortium. You may be interested in these related resources found on Digital Coast. 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. For additional information regarding creation of NLCD Land Cover products: Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) 2019 Products (ver. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. User feedback on the data is encouraged. Click (here) for NLCD Science Research Products which offer more comprehensive delineation of shrub and grass classes and information about change disturbance. The change index was designed to assist NLCD users to understand complex land cover change with a single product. Remote sensing allows the evaluation of both abrupt and gradual rangeland change at unprecedented spatial and temporal extents. ) or https:// means youve safely connected to the .gov website. Search the physical and online collections at UW-Madison, UW System libraries, and the Wisconsin Historical Society. & C.A. Save and categorize content based on your preferences. Well pads. Federal government websites often end in .gov or .mil. Developed areas that are Something that many actors within the environmental field have long needed is an up-to-date, complete map of Sweden's land cover and land use. Nationally standardized, raster-based inventories of land cover for the coastal areas of the U.S. Data are derived, through the Coastal Change Analysis Program, from the analysis of multiple dates of remotely sensed imagery. Child Items (3) National Land Cover Database (NLCD) 2019 Impervious Products Share sensitive information only on official, secure websites. 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. Spatial Reference Information: Universal Transverse Mercator, North American Datum 1983. The proper use and citation of imagery and products will vary according to source, and detailed information is provided in the sections below. By comparison, overall accuracies at Level II and Level I for the NLCD 1992 were 58% and 80%. Secure .gov websites use HTTPS NLCD 2019land cover and impervious surface product versions of previous dates must be downloaded for proper comparison. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. Pixels derived from the Microsoft US Building to fill in gaps left when roads were updated from previous NLCD provides spatial reference and descriptive data for characteristics of the land surface such as thematic class (e.g., urban, agriculture, and forest), percent impervious surface, and percent tree canopy cover. 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. To verify accuracy, check the appropriate style guide. Tertiary road. This dataset has one image for the continental US for each epoch. But now Land Change Monitoring, Assessment, and Projection (LCMAP) Collection 1 science products provide unprecedented monitoring of past changes occurring in land cover and condition across the conterminous U.S. over more than 30 years at an annual timestep. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, tree, sagebrush and shrub, rule-based error maps, and the temporal trends of each. Pixels were derived from the The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. Download the NLCD Land Cover Classification Legend. The database is designed to provide five-year cyclical updating of United States land cover and associated changes. A .gov website belongs to an official government organization in the Component products are designed to be used individually or combined to support a broad variety of applications. Evergreen forest: areas dominated by trees generally greater than 5 meters tall, and greater than 20% of total vegetation cover. For additional information, please refer to the README file, license file, or other information delivered along with the image product. Models used to predict Ecological Potential cover were trained on ecologically intact sites where annual herbaceous cover is low, no known disturbance or land treatment has occurred over the study period, and bare ground cover is relatively lower than expectations (Read More), RCMAP - Future Projections - 2020s, 2050s, and 2080s. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The National Land Cover Database (NLCD) provides nationwide data on land cover and land cover change at 30-meter resolution. Multi-Resolution Land Characteristics Consortium (U.S.). The latest edition of the National Land Cover Database (NLCD 2016) for Alaska is now publicly available. 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. These data contain percent tree canopy estimates, as a continuous variable, for each pixel across all land covers and types and are generated by the United States Forest Service (USFS). In this episode, we hear how Landsat helps monitor vulnerable rangelands in the Western U.S. Click here for a podcast on NLCD 2019. Find information on spaces, staff, and services. Please note these new Revised (071520) rangeland products will differ from the first generation of circa 2016 fractional cover maps, a more aggressive masking of tree canopy cover was applied to each rangeland component. NLCD 2019 represents the latest evolution of NLCD land cover products focused on providing innovative land cover and land cover change data for the Nation. This descriptor layer identifies types of roads, wind tower sites, building locations, and energy production sites to allow a deeper analysis of developed features. Scientific models are being scripted to automate the process and operational production is underway. National Land Cover Database. 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. 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. 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. 2001, ca. Neither deciduous nor evergreen species are greater than 75% of total tree cover. Systematically aligned over time . The legends are also available as metadata on each image. Click on title to download individual files attached to this item. Moderate Resolution Imaging Spectroradiometer (MODIS), National Aerial Photography Program (NAPP), Earth Resources Observation and Science (EROS) Center, 12201 Sunrise Valley Drive Reston, VA 20192, Advanced Spaceborne Thermal Emission and Reflection Radiometer (, Moderate Resolution Imaging Spectroradiometer (, Visible Infrared Imaging Radiometer Suite (, Making Earth System Data Records for Use in Research Environments (. Specific examples of LP DAAC datasets would include: The appropriate citation of NASAs LP DAAC datasets are product-specific and should follow the Digital Object Identifier (DOI) string standard. The National Land Cover Database (NLCD) provides nation-wide data on land cover and land cover change at the Landsat Thematic Mapper (TM) 30-meter resolution. 2012-3020. Data supported analyses in the publicat, Monitoring temporal dynamics of rangelands to detect and understand change in vegetation cover and composition provides a wealth of information to improve management and sustainability. ), 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. close. Generally, vegetation accounts for less than 15% of total cover. A .gov website belongs to an official government organization in the United States. 2006, and ca. USGS is currently working in partnership with the Interagency Multi-Resolution Land Characteristics (MRLC) Consortium to produce the next version of the National Land Cover Database, NLCD 2019. NLCD 2019 offers 8 integrated epochs of land cover for years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019. The USGS EROS Center systems provide access to a variety of products from USGS sources. 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. 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. 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