IKONOS. The new time-series includes yearly . A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS Export to . 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. Footprints dataset. 2006, and ca. EROS is central to the creation of the National Land Cover Database (NLCD), which is updated every five years and stands as the definitive land cover database for the United States. See included spatial metadata for more details. Completion of the 2011 National Land Cover Database for the conterminous United States - Representing a decade of land cover change 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 National Land Cover Database (NLCD) serves as the definitive Landsat-based, 30-meter resolution, land cover database for the Nation. 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. Remote sensing allows the evaluation of both abrupt and gradual rangeland change at unprecedented spatial and temporal extents. 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. 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. An official website of the United States government. 2.0, June 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P9KZCM54, Homer, Collin G., Dewitz, Jon A., Jin, Suming, Xian, George, Costello, C., Danielson, Patrick, Gass, L., Funk, M., Wickham, J., Stehman, S., Auch, Roger F., Riitters, K. H., Conterminous United States land cover change patterns 20012016 from the 2016 National Land Cover Database: ISPRS Journal of Photogrammetry and Remote Sensing, v. 162, p. 184199, athttps://doi.org/10.1016/j.isprsjprs.2020.02.019, Jin, Suming, Homer, Collin, Yang, Limin, Danielson, Patrick, Dewitz, Jon, Li, Congcong, Zhu, Z., Xian, George, Howard, Danny, Overall methodology design for the United States National Land Cover Database 2016 products: Remote Sensing, v. 11, no. 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. Commercial satellite imagery (e.g. (2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019). NLCD products are created by the Multi-Resolution Land Characteristics & C.A. Component cover were harmonized so that the sum of bare ground, shrub, herbaceous, and litter cover adds to ~100% and secondary components sagebrush and annual herbaceous cover were harmonized to their respective primary components of shrub and herbaceous cover, (so their cover could not be greater than their primary component). Pixels were derived from the 2018 The data are updated every 5 years. Emergent herbaceous wetlands: areas where perennial herbaceous vegetation accounts for greater than 80% of vegetative cover and the soil or substrate is periodically saturated with or covered with water. 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. 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. Source. 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. Land Cover Atlas Online viewer makes it easier to explore land cover change data. Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) 2019 Products (ver. and wind turbines and classified in coordination with the Other energy production. 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. and have been removed from the landcover but remain as part of 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. 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. National Land Cover Database (NLCD) 2020. Pixels derived from the 2019 Oil and Natural Gas Wells Impervious surfaces account for 20% to 49% percent of total cover. Land cover classification and changes and impervious fractions were obtained from the National Land Cover Database of 2001 and 2006. 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). from the 2018 NavStreets Street Data. To browse or use data from this site, no account is necessary! Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. These areas most commonly include single-family housing units. 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. Multi-Resolution Land Characteristics Consortium (U.S.). Citation . Save and categorize content based on your preferences. You may be interested in these related resources found on Digital Coast. 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 Cheatgrass (Bromus tectorum) is a dominant species, but this dataset also includes Bromus arvensis L., Bromus briziformisFisch. 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. National Land Cover Database 2011 (NLCD 2011). Barren land (rock/sand/clay): areas of bedrock, desert pavement, scarps, talus, slides, volcanic material, glacial debris, sand dunes, strip mines, gravel pits, and other accumulations of earthen material. Grassland/herbaceous: areas dominated by gramanoid or herbaceous vegetation, generally greater than 80% of total vegetation. residential/commercial/industrial areas, parks, and golf courses. 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. Secondary road. NLCD products are created by the Multi-Resolution Land Characteristics (MRLC) Consortium, a partnership of Federal agencies led by the U.S. Geological Survey. 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. Lichens: Alaska only areas dominated by fruticose or foliose lichens generally greater than 80% of total vegetation. ) or https:// means youve safely connected to the .gov website. 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 updates all previously released versions of impervious products for CONUS and provides integrated analysis for all Land Cover dates. 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 https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely. The database is designed to provide cyclical updates of United States land cover and associated changes. (dataset) Multi-Resolution Land Characteristics Consortium (MRLC) (2018). The National Land Cover Database (NLCD) provides nationwide data on land cover and land cover change at 30-meter resolution. The information on this page (the dataset metadata) is also available in these formats: National Land Cover Database 2011 (NLCD 2011) is the most recent national land cover product created by the Multi-Resolution Land Characteristics (MRLC) Consortium. 24, athttps://doi.org/10.3390/rs11242971. 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 37 years. Feedback. Hordeaceus, Bromus japonicusThunb, Bromus madritensis L., Bromus madritensis L. ssp. To verify accuracy, check the appropriate style guide. This descriptor layer identifies types of roads, wind tower sites, building locations, and energy production sites to allow a deeper analysis of developed features. Photogrammetric Engineering and Remote Sensing 81(5), 345-354. https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=309950. Tap the tabs above to explore related science, multimedia, and news on NLCD. 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 . NLCD 2011 is based primarily on a decision-tree classification of circa 2011 Landsat satellite data. NLCD 2016 Product Highlights 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. These products update all previously released versions of landcover and impervious products for CONUS (NLCD 2001, NLCD 2006, NLCD 2011, NLCD 2016) and are not directly comparable to previous products. The data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information System (see http://water.usgs.gov/GIS/browse/nlcd01-partition.jpg). All NLCD data products are available for download at no charge to the public from the MRLC Web site: http://www.mrlc.gov. Accessed 2023-04-18. 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. National Oceanic and Atmospheric Administration, Office for Coastal Management. Systematically aligned over time . Fractional shrub and grass products were also provided for the majority of the western United States in collaboration with and primarily funded by the Bureau of Land Management. 2011. 2.0, June 2021): U.S. Geological Survey data release, A., Yang, L., Jin, S., Danielson, P., Xian, G., Coulston, J., Herold, N. D., Wickham, J. D., & Megown, K. (2015). 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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. : http: //www.mrlc.gov from this site, no account is necessary most comprehensive remote sensing-based quantification of Western shrublands! 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